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Establishing Tele-Ophthalmology
Centres in North Eastern States
             of India

   Dr M R Surwade       Dr S B Gogia


                SATHI
Need for Telemedicine in North
       Eastern States of India
•   Difficult Access to healthcare Services
•   Lesser availability of specialist doctors
•   Difficult geographical terrain
•   Time consuming communication/travel
•   Higher indirect cost of utilizing healthcare
    services at district or state level
Responding to the needs
• Application of ICT in form of Telemedicine
  system can provide solution to overcome
  barriers
• Need based strategic approach
• Conducive policy environment provides
  opportunity
• Integrating with the Public Health system
  is necessary as presence of private sector
  is negligible
The opportunity
• Central Government Support – funding
  and technical
• State governments’ willingness and
  initiatives
• Good performance in implementing NPCB
• Leadership at state level
• Existing Network of CSCs can provide
  infrastructural base
The situation
• 18 million blind people in India
• Overwhelming majority are blind due to
  cataract. 75% cases are avoidable
  blindness
• 9000 Ophthalmologists perform about 1.2
  million cataract operations a year
• The ratio more skewed in North East ( only
  14 ophthalmologists in Nagaland)
• 8000 optometrists against 40000 required
Program Objectives
• Develop an effective system for delivery of
  eye care
• Cost effective and efficient delivery of eye
  care services
• Easy access to eye care services
• Sensitization of rural population regarding
  eye care
The strategies
• Need assessment – prevalence mapping
  juxtaposed with availability of services
• Designing the network of tele-
  ophthalmology centres
• Equipping the centres
• Building local capacity – managers of
  centres and animator frontline workforce
• Awareness building at community level
Technology architecture
• Appropriate for timely and accurate diagnosis
• Effective HMIS
• Linkages with Tertiary Care Hospitals with
  minimum 256 kbps dedicated bandwidth
• Application software and database centrally
  located
• Various modules: Video Conferencing, Patient
  records, Content Portal, MIS with Eye exam and
  optometry equipment
Operationalization
• Program Management Agency: SATHI in
  collaboration with SPANCO and local
  bodies
• Trained managers of tele-ophthalmology
  centres
• Community mobilization through link
  workers
• Delivery of services through the network
  and outreach
Role of SATHI
• Overall management including monitoring
  of centres
• Collect, distribute and account for
  medicines and consumables
• Operations and maintenance of centres
• Ensuring uptime of the network
• Availability of power back-up
Building Local capacity
• Orientation of state program managers
• Identification, selection and training of tele-
  ophthalmology centre managers
• Training of link workers – ASHA,
  Extension Workers and NGO volunteers
• Setting up of tele-ophthalmology network :
  Central Unit and peripheral centres
Expected Impact
• Significantly contribute to well being of rural
  population
• Enhance the capacity of eye care in the state
  and
• Improved access to eye care services
• Development of effective, integrated and
  sustainable model for telemedicine system
• Reduce the burden on secondary and tertiary
  level health facilities
• Help achieve the goals of “ Vision 2020 – The
  Right to Sight”
Current status
• 3 centres at Aizwal, Lunglei and Chaphai
  started
• 5 more centres in remaining districts are
  being set up – installation is in progress
• Managers of centres trained
• Communications and Social Mobilization
  Strategy developed
• Training modules for centre managers and
  link workers developed
Ensuring sustainability
• Robust hardware and software adapted to the
  local situation
• Trained workforce – Managers at centres and
  Link workers at community level
• Affordable user charges
• Support systems: HMIS, Free spectacles,
  medicines and other consumables, follow-up of
  patients
• Effective community participation
• Involvement of all stakeholders
TELEMEDICINE SUPPORTED TOTAL EYE CARE PROJECT




   Dr Manoj Rai Mehta and Ruchi Agrawal
                    ASTER EYE CARE
             DM EYECARE (DELHI) PVT LTD
         5E/08 B.P. RAILWAY ROAD, FARIDABAD
                 Phone no. 0129-2410231

      32 RING ROAD, LAJPAT NAGAR IV, NEW DELHI
                Phone no. 011 3085337-39
INTRODUCTION

   Ehealth projects fail more due to                       Technology (20%)
    the personnel (40%) rather than




                                        Engineering (35%)
    technology (20%)




                                        Business Process
   Concept of Change Management
                                                                    Change Management
   Failure is always 100%                                          (40%)


           The simplest failures are                               Luck
                                                                    (5%)
                the biggest
BACKGROUND

   Planned tele-ophthalmology project in North East
           To be run by Ophthalmic assistants at the periphery
           Co-ordination and control by Ophthalmic Surgeons
 Learning and execution of the personnel key to success
 Learning required of all aspects

           Eye care
           Managing Ehealth
           General Administration
LEARNINGS REQUIRED

   Marketing / orientation
           of link workers and pts
 Registering the patient
 Arranging Tele-consultation


 Maintaining Equipment
EYE CARE

   Eye examination (Snellens charts/ Use of Slit Lamp etc)
   Remove sutures
   Provision of Specs
       - Glass grinding
   Keep and maintain case notes
   Supply and administer medicines
OBJECTIVES

   TRAINING IN EYE CARE
          Eye examination
          Slit Lamp
          Vision
          Ophthalmoscope
          Glass grinding
          Streak retinoscope
TRAINING OF IT AND GENERAL
          ADMINISTRATION

   IT Hardware/Software
   Connectivity - TCP/IP
   Management information Software – Medic Aid
   Electronic Medical Record keeping
   Remote Desktop excess – Skype/timeviewer etc
   Networking and data synchronization
METHODS

  METHOD - Training come workshop
DURATION – 15 days
 3 ASSISTANTS - Basic knowledge


 INCLUDES

           classroom lectures
           workshops at 2 hospitals
           optical center
           trip to lenses manufacturing company.
RESULTS

WRITTEN ASSESSMENT – 1 hr questionnaire of 60marks + spotting
of 40 marks.


CONCLUSIONS OF ASSESSMENT – Reviewed for feedback.

CONSENSUS – Advance comprehensive course
LEARNING OBJECTIVES

   Expand formal training in areas of technology applied to healthcare including
    computer sciences and telecommunication technologies to facilitate the
    deployment of telemedicine.
   Understand the basic requirements for the delivery of telemedicine services.
   Differentiate and apply telemedicine technologies and practices in a variety of
    health care environments. (With support from out partners)
   Identify eye problems and provide basic care at the community level
TELEOPHTHALMOLOGY MODULE
OBJECTIVE OF THE MODULE –
Basic understanding of –
              Goals of this course

              vision for telemedicine

              foundations of telecommunications,

              applying telecommunications to health care and ophthalmology

                    challenges to telemedicine
 Includes – History, terminologies, types of telemedicine systems, examples of

 telemedicine in clinical practices etc.
COMMON EYE PROBLEMS AND ITS
       MANAGEMENT MODULE
   Refresher on anatomy of the eye ball.
   Applied physiology related to the eye.
   Differential diagnosis of red eye and analytical approach.
   Painful loss of vision.
   Painless loss of vision.
   Equipments-OCT/FFA/ slit lamp/Auto refractor/ Applanation tonometer.
   Surgically managed cases –Cataract, glaucoma and VR procedures
   Eye in systemic diseases.
MODULE ON SPECTACLE
            MANAGEMENT AND OPTICAL
   Focuses on significance of spectacles and contact lenses and their
    management.
   Includes understanding of -
              Optics of refraction,

              Visual acuity

              Types of refractive errors

              Corrective lenses

              Bases of contact lens fitting and types of contact lenses etc
MODULE ON TELEMEDICINE

   Various IT modules of patient care.
   Networking
   Getting online support
   Services provided through Teleophthalmology
   Routine and Follow up examinations.
   Routine and follow up consultation.
   Clinical Support Services
MODULE ON SOFTWARE FOR
            PATIENT MANAGEMENT

   SOFTWARE TRAINING                         OPHTHALMIC IMAGES
    Basic application of teleophthalmic      Capture
    software.                                 Manipulation / Compression
    Methods of data feeding and              Storage
    retrieving.
                                              Retrieval

                                              ELECTRONIC MEDICAL
                                               RECORDS
MODULE ON INFORMATION
               TECHNOLOGY
   Focuses on the planning, construction, development and deployment of
    telemedicine technology systems.
         Telemedicine Systems

         Connectivity Options

         Bandwidth Limitations

         Asynchronous vs. Real-time Interactive

         Data applications

         The World Wide Web
MODULE ON CONNECTIVITY AND
     COMMUNICATION TECHNOLOGY

   Audio                          Displays
   Data                           Storage
   Images                         Standards
   Video                          Wireless Devices
   TCP/IP and other types of      Diagnostic Tools and Peripherals
    Networking                     Mobile Telemedicine
   Telecommunications
   Processing
GENERAL MANAGMANT MODULE
   Human Resources Management
   Financial management
   Operational management
   Medical Records management
   Eye care administration
MODULE ON MARKETTING
            /COMMUNITY INTERFACE

   Clinical Acceptance
   Public Awareness
   Government officials
   Community leaders
   Patient Satisfaction
   Public and community medicine.
MODULE ON NATIONAL
                  PROGRAMMES


   Scope, objectives and government aids provided under various national
    programs.
   National program for blindness control.
PRESENTATION




  © 2011 Spanco Ltd, All rights reserved
COMPANY PROFILE: INTRODUCTION
                                                                           • Spanco Limited is a company engaged in creating Large scale
Global Head Quarter          Mumbai, India                                   Technology Infrastructure to help drive governance efficiency across
                                                                             key sectors.
Global Presence              India, UK, Africa, USA & Middle East          • Consistently ranked in ET500 amongst outstanding companies of India
                                                                             Inc.
 Rev FY10                    1182 Cr.                                      • ISO 9001:2008, ISO 27001 and SEI CMMI Level 3 certified
                                                                           • Focused offerings for Government, Telecom, Power and Transport
 FY 11 (UA)-                 1469 Cr.                                        Verticals
                                                                           • Presence e in Four continents with large spread across major cities in
 Employees                   12000+                                          India


                                                                                                            Business structure
            Shareholding Pattern as on March ‘11
                                                                                                      Business Verticals

                                  Bodies                                    E-Governance            SI / Power             Service Provider               BPO
                   Retail        Corporate
                  investor         10%
                    15%

                                                                                                Technology Infrastructure
                                                                         Sector Modernization(NeGP, RAPDRP,USOF                     Very Large state and
            Institution                                                               3g/Wimax,AAIM)                                National Infra Projects
             investor              Promoters
               35%                    40%

                                                                                                                 Services
                                                                          Infrastructure    Government                               Application
                                                                                                              Citizen Interface                          Outsourcing
                                                                          Management       Transformation                           Development



                                                          © 2011 Spanco Ltd, All rights reserved
COMPANY PROFILE: KEY PROJECTS


                                                                                     Smart Card DL/RC
                                   SWAN Projects                                          Punjab
                                                           Disaster Mitigation
                                    Maharashtra
                                                          Andhra Pradesh State
       State Data Centre                                                                                   Indian Railways
       Rajasthan - Odisha                                                                               Passenger Reservation
                                                                                                               System



                                                   Key Projects
   Security Surveillance
 Airport Authority of India
                                                                                                             Distribution Franchisee
                                                                                                                    – Nagpur




         Integrated Border
        Check post - MPRDC
                                                                                                        Telemedicine
                                 IT Infrastructure
                                                                                 CSCs in Maharashtra
                              Anna Centenary Library        APDRP

                                                                                                                                   Mobile Banking
 Pension

                                                       © 2011 Spanco Ltd, All rights reserved
COMPANY PROFILE: AWARDS & ACCOLADES
         Maharashtra State IT Award for Best IT Company in eGov space for 2010



         "UDYOG RATTAN AWARD” & “EXCELLENCE AWARD” by the Institute of Economic Studies (IES)


         Nominated for the NDTV Profit Business Leadership Awards 2010 – IT Category


         Consistently ranked in ET500 amongst outstanding companies of India Inc.


         Ranked amongst top 500 Non Finance Companies by ‘The Business World Real 500’


         Ranked 5th BPO Company in the Country by Data quest 2010


         Amity Leadership Award 2009.


         Spanco GKS awarded as best outsourcing solution provided in middle east by Insight (Middle East) for
         2010


         Spanco BPO Ventures Ltd. ranked in India’s Top 20 ITES and BPO Companies
                                                                                                          4

                                  © 2011 Spanco Ltd, All rights reserved
MIZORAM TELEOPTHAMOLOGY PROJECT

 BRIEF SCOPE
 • Setting up a system for delivery of Eye care through Tele
   Ophthalmology
 • Supply of IT systems, Medical equipment, Power back up
   connectivity, furniture and physical infrastructure at
   multiple sites
 • Identifying Ophthalmic Assistants, Link workers
 • Training
 • Operations, Maintenance
 • Build database of patients
 • Creating awareness of the project in the rural areas



                       © 2011 Spanco Ltd, All rights reserved
Challenges for Implementation in Mizoram

•   Difficulty in delivery to State - Permit issues
•   Difficult Terrain – Long travel time due to road conditions.
•   Finalization of sites was time consuming because of permissions from
    department at multiple levels, allocation of space
•   Lack of availability of Electricity, water connectivity
•   Availability of Ophthalmic assistants - difficult to get the resources and then move
    them to remote locations
•   Link workers - still a challenge (even after approaching several departments). We
    have finally decided to approach the Church for help
•   Availability of technical support - difficult to get resources and provide support in
    remote locations




                                                                                     6

                                  © 2011 Spanco Ltd, All rights reserved
Thank You




                                          7

 © 2011 Spanco Ltd, All rights reserved
Community Level Limb Care
   Through Telemedicine
Arun Rekha Gogia and Dr S B Gogia
               S.A.T.H.I.
           www.sathi.org




         Telemedicine for Limb care
Treatment
                                    Processes                               (`)
Patient with Medical Problem
                                          If Treatment not Adequate
(Dressing)
          Local/ Village
           Practitioner

          Low Cost (10)                                   Cost of travel (500)
     But practitioner should have                     High Cost Treatment (200)
       the relevant knowledge     Doctor in          Cost of stay and Relatives (??)
                                nearest town
                                                      Time off Work for all (??)
                            Still Affordable (50)
       Upper Classes or those                                 Super
       having relatives in major                             Specialist
       Towns                                                  Centre

                             Telemedicine for Limb care
What is Limb care

Care of diseases                              All have common
  largely localized to                        Localized Treatment
  the limbs                                   processes
Lymphoedema                                    Cleaning and Dressing
Venous Ulcers                                  Compression
                                               Bandaging
Diabetic Foot
                                               Exercizes
Other tropical diseases like
   Yaws and Dracunculosis                      Drugs


  4/15/2012           Telemedicine for Limb care       3
Why Limb
                     Care is ideal
                   for Telemedicine
Knowledge of how to care is however missing
    The condition progresses because of Such neglect
    Chronic condition -so long term supervision required
    More of a Social Problem (cosmetic/ odor)
    Results in Loss of self-esteem, inability to work---may leed
     to possible depression
    How many are willing to travel distances or get
     relatives to take them along? (repeatedly
    Required Care is easy and possible at the community level


    4/15/2012           Telemedicine for Limb care   4
OBJECTIVE
                          Lymphoedema
           4th highest cause of morbidity in the world

The provision of lymphoedema services worldwide varies
from very well developed care to virtually no provision
(e.g.India/Africa).

Many patients are not properly diagnosed and there is a
pervasive impression that the condition is
rare,
causes few problems,
is not life threatening and cannot be treated.

However, without adequate treatment, lymphoedema
can have major effects, including long-term disability,
difficulties with work and emotional problems.
Filariasis
                         - extent of problem
Global: 1100 million at risk of infection,
  120 million pts
India: 553 million at risk, 48 million pts
40% of Global disease burden in India
India is committed to elimination by 2015
                 261 Districts Endemic
                 7 States contribute 95% of the burden       Lymphoedema occurs
                                                              after other problems too
      Loss                                                   e.g congenital,trauma
      103 million man days due to acute disease              ,Vascular, cancer and
      1098 million man days due to chronic disease
       every year
                                                              the incidence is
      Estimated Annual Loss of 1.5 Billion US $              increasing.
                                 Telemedicine for Limb care
Possible Solution
Creating Integrayted lymphoedema service centers that would aim to identify
patients with swelling early so that treatment is timely and effective and enables
patients to remain active and to self-manage their condition.
Limb care in rural areas
             Creating awareness
•   Problem of Lymphoedema                  Most care is possible locally
                                             along with long term follow
•   and Ulcers requires                      up and maintenance

•   Leg washing                                  Machines and equipment
                                                  that can be sent
•   Antibiotics (Penicillin*)
                                         •        Massage and bandaging can
•   Physical Massage                              be taught
•   Drugs                                •        Appointments for surgery
•   Heat Treatment                                after full work up
•   Pneumatic Compression                •        Thus patient needs to spend
                                                  little time outside his village
•   Nodo - Venous Shunts*
•   More complicated procedures*                             * These items
                                                             require support from
                                                             clinicians
                     Telemedicine for Limb care
DEFINING THE
DESIRED SERVICE
 Correlating condition severity to level of intervention
  With Education and awareness 70 to 80% can be
                     self-managed
                                       Level I Case Management
                                       Includes the provision of
                                       intensive therapy top of the
            Disease specific           pyramid (5- 10%)
                 Care/ High
              Risk Management
               By paramedics
         under supervision (10-20%)



           Self-care support
              for Level III
            for 70–80% of
      long term condition population
The project

The approach*                                 SATHI Role
• Mass creation of treatment and                  – Supply equipment
  follow up centres (e.g. in                      – Train paramedical staff to run
  collaboration with CSC Providers)                 the centres
• Local health workers provide basic              – Engage and train Surgeons in
  care.                                             surrounding townships

   – Training and Initial review of               – Troubleshooting and further
     patients Online                                management from our centre

• Local surgeons for monitoring and
  procedures
   – Orientation and training Online

                         A demonstrative result

  * initial MOU with Spanco – (working in coastal Maharashtra)
Range of Problems
Lymphoedema and                     Processes they need
associated cellulitis
                                        Diagnosis
Diabetic foot
                                        Dressing
Non Specific Ulcers
                                        Bandage
                                        Antibiotics/other medicines
                                        Physiotherapy and
                                         Exercizes
                                     Most can be understood through
                                    visual or aural means so IT based
                                             support possible

                    Telemedicine for Limb care
More Details
Local health workers provide                Set up franchises with local
basic care on a profit sharing              Surgeons for
model e.g.                                    Initial consultation
   –   Identifying patients
                                              First dose of Penicillin
   –   Leg washing instructions
   –   Use machines on rental basis           Initial care plan
   –   Bandaging                              Surgical procedures as and
   –   Measurements for garments              when required
   –   Issue drugs and antibiotics          Local pharmacies to
   –   Follow up and maintenance              Sell equipment, bandages etc
                                              to the Village level partners
                    Uses IT based support for all centres
                                              Direct to patient sales
                         Telemedicine for Limb care
Limb care clinics
                           ?Funding
                           Agency/
                             (Funds)
     SATHI                                        AIIMS/GMC
  (Conceptualization        Coordinator          Local Hospital
 and implementation)         Hardware
                           Consumables          Plastic Surgeon




          Expert Doctors   LOCAL NGO/      Patients
                              VLE


Range of diseases:
Lymphedema/Ulcer/Venous for Limb care
                 Telemedicine
                              problems/Diabetic foot
Current Progress
Lymphedema counseling
centre at AIIMS
  – Around 200 patients given
    advice (mostly breast cancer)
  – Support from Rotary for free
    bandage kits




                       Telemedicine for Limb care
Rotary Counseling Clinic at AIIMS

   Partners in Healing (RCDS)
   Assisting and off loading
    doctors.
   Repetitive tasks assigned to
    regular patients
   Group learning of therapy
   Improved psychological and
    social acceptance
   Compliance due to shock of
    seeing advance cases
   About 200+ patients have
    already been registered in last
    12 months

                          Telemedicine for Limb care
Camp at Cardinal Gracias Hospital
                     Vasai (Thane)


67 patients seen in 1 day
51 given initial dose of penicillin
14 planned for surgery
Candidiasis in 49




                         Telemedicine for Limb care
Vasai Experience




Telemedicine for Limb care
Telemedicine for Limb care
Rural Centre in Sindhudurg
Training and Orientation                           Setbacks
camp done                                          Connectivity slow
Wide publicity thanks to        s

Press conference                                   No doctor to administer
                                                     Penicillin!
Machine provided curtsey
RCDS                                               Nearest identified and
                                                     approved hospital is Goa
Online sessions through
                                                     but a different state
Skype

   –




                      Telemedicine for Limb care
Goa Medical College
51 Patients seen, Lectures and        Inquiries for further extensions -
two demonstrative surgeries             Kerala, Orissa, Tamilnadu
done in a 3 day workshop       s
Plan to set up 3 centres in
collaboration with DHS
    –




                      Telemedicine for Limb care
A Teaching example




Wrong - adding obstruction
                                   The correct method

                             Telemedicine for Limb care
To summarize
                    www.sathi.org
Lymphedema is common and treatable with or without
  ulcers
Treatment mostly at the community level -
requires care of infections and Compression

A community based approach supported by telemedicine
  has been started

48 million pts are suffering



                     Telemedicine for Limb care
Telemedicine for Limb care
Dr. Karanvir Singh
             MBBS, MS, FRCS (Glasgow)
                    Consultant Surgeon
Head of Medical Information Informatics
                Sir Ganga Ram Hospital
   Data mining
    ◦ Extracting patterns from large data sets

   Business intelligence
    ◦ Analyzing this data with an aim to support better
      decision making
   Hospital information systems capture huge
    amounts of data

   Although reports are available for viewing
    captured data, analysis is not always possible
Indexing and data mining
Abnash Puri
Arun Kumar
Ashok Kumar
Chander Kanta
Gouri Ghanshyam   How many persons have a K in their name?
Gulab Devi
Gulab Chhikara    … or R
Harkishan Batra   … or S
Jaya Sonowal
Lalita Singh      How many have all three in their name?
K   R   S
Abnash Puri           Ö   Ö
Arun Kumar        Ö   Ö
Ashok Kumar       Ö   Ö   Ö   How many persons have a K
Chander Kanta     Ö   Ö       in their name?
Gouri Ghanshyam       Ö   Ö   … or R
Gulab Devi
Gulab Chhikara    Ö   Ö       … or S
Harkishan Batra   Ö   Ö   Ö
Jaya Sonowal              Ö   How many have all three
                              in their name?
Lalita Singh              Ö
…before the questions are asked
   The HIS will index only what is essential to its
    daily functioning.


   If you want to analyze data in detail, you need
    to create indexes externally.
   Speedminer is our data mining and business
    intelligence software.
   It copies all HIS data on a separate server and
    indexed everything we want to analyze.
   By Hesper, Malaysia, but implemented and
    supported in India
Internal process monitoring
       Clinical data analysis
           Financial analysis
◦
    Episode.avi
   Looking up patients with Diabetes and
    Hypertension

    ◦ Diagnosis_2.avi

    Operation diagnosis analysis

    ◦ Operation Diagnosis analysis.avi
   Dashboards interact with users. They can
    accept input parameters and display results

   Key Performance Indicators (KPI)

                   C_Section.avi
                  Lab income.avi
   Garbage In = Garbage Out

   Data Mining can only be as accurate as the
    data that is captured in the HIS

   The HIS needs to have ‘granular’ fields. Once
    deployed, it is difficult to change field types
   What gets measured gets managed.
   Historically, hospitals have been data rich but
    information poor.
   IT investment had done little to enhance the
    strategic use of data, till BI came along.
   HIS is just a milestone
   BI is the next milestone - it is what provides
    a ROI on HIS investment
.
Role of Knowledge Based
   Expert Medical Systems in
   improving Quality of
   Healthcare
   NCMI 2012 – Paper submission 64

                                                DR SHRUTI GADGIL, MBBS, IAMI Life member




31-Jan-2012                  Dr Shruti Gadgil                                              1
Paper Details
     Introduction
          What is “Knowledge Based Expert Medical Systems”
         Current situation in Indian Healthcare system Vs defined
          framework of Quality Of care in developed countries.
    Method
         Knowledge Based Medical Systems using Data Mining
          techniques and Concurrent Chart Abstraction for improving
          quality of care.
    Discussion
         Healthcare Quality Measurement – need in India



31-Jan-2012                     Dr Shruti Gadgil                      2
What is Knowledge Based Expert System?
    These are the variants of Clinical Decision Support Systems (CDSS) that
     use knowledge based techniques to support clinicians in decision making,
     learning, action and can also be used to measure & monitor quality of care.

    Based on various data mining techniques and patient’s parameter specific
     validations.

    Functional Types –
         Concurrent –
                 Work at the time of patient care


         Non concurrent –
                 Post patient discharge processing


    31-Jan-2012                             Dr Shruti Gadgil                  3
Clinical Workflow & CDSS
                        • Patient’s Demographic Details                    Inputs to    1. Patient’s age, sex
                        • Patient’s Insurance Details                        CDSS       2. Insurance Health Plan
Patient Registration




                        • History of present illness                                    1.   Chief complaints
                        • History of known medical conditions &            Inputs to
                                                                                        2.   Allergies
                          allergies                                          CDSS       3.   Vital Signs
Initial assessment by   • Family History, Social History                                4.   Genetic preponderance
  Medical assistant     • Recording of Vitals



                        • Summary of positive medical History                           1. Signs general (clinical)
                        • General Examination                               Inputs to   2. Signs system specific (clinical)
                        • Systemic Examination                                CDSS      3. Differential Diagnosis
   Consultation
    (part 1) with       • Assessment and Plan
   Physician for
    assessment
                        • Documentation of provisional Diagnosis



                        • Documentation of provisional Diagnosis                        1.   Orders
                        • Orders for necessary investigations               Inputs to
                                                                                        2.   Medications Prescribed
                        • Prescription based on Provisional Diagnosis         CDSS      3.   Follow up
Consultation (part 2)   • Follow up instructions                                        4.   Patient’s experience of episode of
 with Physician for
   plan of action                                                                            care




    31-Jan-2012                                                    Dr Shruti Gadgil                                               4
Measurement Of Quality Of Care – A key
Driving Factor

                               Physician
                              Performance
                               Monitoring




              Measurement
              of Quality of
                  Care



                                       Improvement in
                                      Quality of Care and
                                     Reduction in the cost
                                        of Healthcare




31-Jan-2012             Dr Shruti Gadgil                     5
Knowledge Based Medical System -
Benefit to All
    Benefit to Patients –
         Most appropriate treatment according to set protocol
         Better care at reduced cost

    Benefit to Clinicians
         Clinical analysis results reports –
                 Failure of adherence to a clinical protocol for a physician or nurse.
                 Physician specific lines of treatment etc.
         Study Population identification
                 Identify specific type of patients in the database based on the clinical
                  parameter.
         Research /Publications
                 Excellent opportunity for the physicians to generate physician specific reports
                  that can be used for their publications, research and even clinical trials.
                 Statistical data to prove the facts is easily available.
                 Analyzing the outcomes and cause/effect relationships is made easy.
         Medico legal Cases –
                 Consolidated data available to support the decisions made.


31-Jan-2012                                  Dr Shruti Gadgil                                       6
Knowledge Based Medical System -
    Benefit to All – cont….
    Benefits to Administrators
         Process checks
                 Excellent data points to track the process improvements and performance reviews
                  for Hospital Administrator and Quality Department. (ADT analysis)
                 It can measure efficiency based upon timely action by clinical staff.
                 Admission, transfers and discharges can be analyzed to determine how efficiently
                  patients are moved in & out or within the organization.
                 Benchmarking of performance indicators is possible with use of such systems.
                 Analyzing the outcomes and cause/effect relationships is made easy.
         Costs
                 Alerts to inform administrators of performance trends that have crossed a threshold.
                 Lowers the cost for management systems by consolidating data from disparate
                  systems and eliminating staffing and maintenance cost.
                 Medico legal Cases - follow up is easy
                 Provides input for the Insurance Organizations while establishing or renewing the
                  service contract with the Hospital.


    31-Jan-2012                                 Dr Shruti Gadgil                                  7
Knowledge Based Medical System -
Benefit to All – cont….




31-Jan-2012     Dr Shruti Gadgil   8
Knowledge Based Expert Systems – Need
    in India – Clinician’s perspective
    Lack of standardization in Quality assessment criteria.

    Monetary benefit to the physician is independent of the measurement
     of quality of performance.

    Rapid penetration and spreading Insurance network.

    Medical Tourism – pushing the cost of care up.

    Increasing cost of Healthcare.




    31-Jan-2012                   Dr Shruti Gadgil                   9
Knowledge Based Expert Systems – Need
in India – Clinician’s perspective –cont…

    Lack of appropriate legislations for noncompliance.

    Increased gaps in affordability of Socio economic strata.

    Lack of trained medical staff /physicians in rural areas.

    Lack of awareness of Human rights and superstitious approach
     towards healthcare provider.




31-Jan-2012                      Dr Shruti Gadgil                   10
Knowledge Based Medical System -
Benefit to All




Thank You!

31-Jan-2012     Dr Shruti Gadgil   11
EVALUATION OF COMPUTER USAGE IN
   HEALTHCARE DELIVERY AMONG
PRIVATE PRACTITIONERS OF NCT DELHI

                ORAL PRESENTATION

     Ganeshkumar P* Arun kumar sharma O.P.Rajoura


  Assistant professor, Department of Community
                    Medicine,
              SRM University, India.
BACKGROUND   AIMS   METHODOLOGY     RESULTS    CONCLUSION    SCOPE




                       BACKGROUND
  • Indian health system - increasing cost and demand pressures
    and a shortage of skilled health care workers till the root
  • Poor integration of information - between the health sectors -
    incapable to handle public health issues & lack of proper
    evidence in public health decisions
  • 70% of the population use - private sector -not integrated with
    the govt. system & often not regulated.
  • Ehealth strategy – proven solution ; remains incompetent in
    pvt. sector – never documented or little initiatives to assess the
    utilization of ICT by the private health care delivery systems in
    India.

                        NCMI 2012 , Ganeshkumar - 26                 2
BACKGROUND   AIMS   METHODOLOGY     RESULTS   CONCLUSION   SCOPE




               AIMS AND OBJECTIVES
    1.To evaluate the usage and the knowledge of computers
      and Information and Communication Technology (ICT) in
      health care delivery by private practitioners.

    2.To understand the determinants of computer usage by
      the private practitioners.




                        NCMI 2012 , Ganeshkumar - 26               3
BACKGROUND     AIMS   METHODOLOGY        RESULTS    CONCLUSION      SCOPE




                           METHODOLOGY
    Cross-sectional study – Nov’ 07 – Dec ’08 – 3 districts of Delhi
    state – 600 clinic based private practitioners .




  • Inclusion criteria: only modern medicine practitioners; practicing for 1
    year in same location



                                    Software
         USAGE                      Hardware              KNOWLEDGE

                                    Internet
                         NCMI 2012 , Ganeshkumar 26                         4
BACKGROUND          AIMS   METHODOLOGY       RESULTS       CONCLUSION        SCOPE

  KNOWLEDGE

              SOFTWARE – 60%
                                                  MEDIAN
                                                 COMPOSITE
              HARDWARE – 10%                       SCORE

              INTERNET – 30%

                    15            POTENTIAL BARRIERS                    60




                                                                         Patient
                                                  Technical
              Logistic           Financial                               related

               7 & 28             3 & 12           3 & 12                    2&8


                            SA        A      N         D      SD


                             NCMI 2012 , Ganeshkumar 26                              5
BACKGROUND          AIMS   METHODOLOGY          RESULTS      CONCLUSION       SCOPE



                                   RESULTS
 • 85.5% - males and the mean age of all - 45.46±5.52 years
 • 77% - own computer - but only 10.5%(63) – using in clinic
 • 22% - had known about EHR – but only 8.8% - using in clinic
 • Male and super speciality practitioners - more knowledgeable

                                  PRESENCE OF EHR                     COMPUTER
        PRACTICE
                                    IN THE CLINIC                 KNOWLEDGE SCORE
        SPECIALTY
                                        N(%)                         (MEAN ± SD)
 General practice                        20(5.7)                          2.26±1.05
 General surgery                            1(3.6)                        2.48±1.04
 Internal medicine                       11(17.2)                         2.42±1.07
 Super speciality                        16(24.6)                         3.1±0.98
 Others (Paeds,O&G)                         5(5.3)                        2.43±1.03
 Statistical test               X2: 32.22     df:4 p<0.000      SSB:40.02 df:3 p<0.000
                                   MIE 2011, Ganeshkumar 26                           6
BACKGROUND        AIMS    METHODOLOGY       RESULTS        CONCLUSION     SCOPE




• Practitioners who attended a computer course were 13.8 times
  [OR: 13.8 (7.3 - 25.8)] more likely to have installed an EHR in the
  clinic
• Most (86.3%) thought - lack of time was the major barrier and
  nearly 50% – disagreed that cost is not a barrier
• Data entry - a cumbersome process - reasons for not installing a
  computer in their clinic

 POTENTIAL DETERMINANTS              ADJUSTED ODDS RATIO                P VALUE

 Speciality practice                     1.9(1.15-3.12)                  0.011
 Super speciality practice               8.18(2.57-5.99)                 0.000
 Presence of computer
                                         3.93(1.67-9.26)                 0.002
 professional in the social circle
 Female practitioners                   0.493(0.27-0.87)                 0.016
                              NCMI 2012 , Ganeshkumar 26                          7
BACKGROUND       AIMS   METHODOLOGY      RESULTS     CONCLUSION   SCOPE




                              CONCLUSIONS
  • Computer in clinical practice – low usage – low understanding –
    low priority
  • Existing knowledge by training influences more positively in
    practicing a new technology in their clinical practice
  • Limitation - cross sectional study - difficult to establish temporal
    assoc. between knowledge and usage
  • Major perceived barriers - technical related issues
  • Significant determinants of usage
     – Practice speciality,
     – income,
     – presence of a computer professional in the family and
     – gender - significant determinants of usage
                           NCMI 2012 , Ganeshkumar 26                     8
BACKGROUND   AIMS   METHODOLOGY     RESULTS   CONCLUSION   SCOPE




                                  SCOPE
  • Educating & training the doctors and a step forward - the
    students in medical school
  • Encouragement by government for using computers in clinic
    – policy design
  • Regulations for mandatory maintenance of electronic records
  • Involving professional bodies in govt. programs – Public
    private partnership – ehealth
  • More research into the usability – patients & doctors –
    potential determinants – diffusion of technology in practice



                      NCMI 2012 , Ganeshkumar 26                   9
THANK YOU FOR YOUR
    ATTENTION
  DR.P.GANESHKUMAR MD
      SRM UNIVERSITY
  ganeshkumardr@gmail.com
      +91 98406-40483


     NCMI 2012 , Ganeshkumar 26   10
WISHING YOU ALL MERRY CHRISTMAS
AND A VERY HAPPY NEW YEAR

COMPURX INFOTECH WELCOMES EVERY
ONE IN THE GATHERING AND
INTRODUCES ITSELF AS AN UNIQUE
SOFTWARE DEVELOPMENT COMPANY
DEDICATED SPECIALLY TO HEALTHCARE

GIVING YOU A BRIEF INTRODUCTION TO
ITS ACTIVITIES AND PRODUCTS WITH
YOUR KIND PERMISSION
PRESCRIPTION PAD VER – 3
       A PRESCRIPTION WRITING SOFTWARE




A TOOL TO WRITE 100% SAFE, ERROR
FREE & FIRST RATE PRESCRIPTION
Why Prescription Pad ?
                        HOW MANY TIMES
   You have yearned to get complete details of a drug especially when
    some near & dear is sick ?
   You had to strain to remember the safety profile of a drug ?
   You have diagnosed a disease but don't remember its recent
    treatment / drug dosage ?
   You wanted to see previous prescriptions / records of a patient which
    he has lost or has forgotten to bring ?
   Has the chemist dispensed wrong medicine due to ineligible writing in
    the prescription ?
   You depend on chemist's choice for a substitute in the prescription
    which he doesn't have because you fail to remember any alternative
    brand ?
   You have felt that there should be some way to avoid rewriting a
    frequently encountered disease's prescription to save time ?
Statistical Analysis of Prescription Pad 2.0
    Diseases Details (with Advised Investigations)                  1500
    Brands (Trade Name) with Complete Prescription Details         45000
    Complete Drug Monographs                                        2500
    Drugs with Complete Pharmacological Information and
     Drug Safety Parameters                                          2500
    Handouts (for Diet, Exercise, Diseases etc) In English / Hindi    600
    Drug Interaction (with Complete Interaction Details)
     55000
    Investigations - (with Complete Details)                          700
    Pharmacological Groups of brands                                  950
    Special Precautions                                               400
    Procedures / Surgery                                             1700
    WHO Standard Vaccination Schedule
    Total text information in the software cosists of (pages)       50,000


    And Much More with the Flexibility to Add
           Endless No of Records.
BRAND DETAILS ENTRY SCREEN
DRUG DETAILS ENTRY SCREEN
DRUG MONOGRAPH SCREEN
FIND OPTION IN DRUG MASTER
ABD. GIRTH




PATIENTS INFORMATION ENTRY SCREEN
PATIENTS HISTORY SCREEN
DISEASE ENTRY SCREEN
DISEASE RELATED INFORMATION SCREEN AFTER
      DISEASE ENTRY
DISEASE DETAIL INFORMATION SCREEN
BRANDS WRITING AREA
ADVANCED SEARCH OPTION
EXAMPLE OF DRUG SAFETY MESSAGE
EXAMPLE OF DRUG SAFETY, DISEASE WISE
DRUG INTERACTION POP UP SCREEN
DRUG DUPLICATION WARNING
         SCREEN




DRUG DUPLICATION WARNING
EXAMPLE OF PRESCRIPTION GENERATED BY THE
         SOFTWARE
EXAMPLE OF INVESTIGATION
REPORTS THROUGH THE SOFTWARE
GRAPHICAL PRESENTATION
EXAMPLE OF HAND OUTS OF THE SOFTWARE
CARDIAC RISK CALCULATING UTILITY
CHILD GROWTH CALCULATING
       UTILITY
SNAPS COMPARING UTILITY
READYMADE PRESCRIPTION
DIFFERENT TYPES OF REPORTS
GENERATION UTILITY
ACCOUNTS HANDLING SCREEN
APPOINTMENT LIST
LEDGER MAINTAINING SCREEN
REMINDER UTILITY
ARTICLE IN THYROCARE MAGAZINE
News item in HINDU PAPER
NEWS ITEM IN HINDU PAPER
DOCTOR, IF YOU ARE
INTERESTED IN THE
SOFTWARE FOR YOUR
PRACTICE THEN CONTACT
US AT THE COUNTER FOR
MAXIMUM ON SPOT DISCOUNT
Thank You for your
  Kind Attention
CLOUD COMPUTING FOR
MEDICAL RESEARCH AND
HEALTHCARE
Yu-Chuan (Jack) Li, M.D., Ph.D., FACMI
Graduate Institute of Biomedical Informatics
College of Medical Science and Technology
Taiwan Medical University
Taiwan
 • 23 Million people

 • GDP: $30,000 USD

 • 80% IC Chips, 70%
  Notebooks and PDA,
  60% LCD screens ...

 • 500 hospitals and
  17,000 clinics
   high IT adoption
  rate since 1996
Taipei Medical University (TMU)



• Top private medical university in Taiwan
• 6000 students, 620 faculty members, 7 colleges
• Closest to the world’s highest building – Taipei 101
TMU Healthcare Group
• Largest JCI-Accredited teaching hospitals in Taipei
• 3,150 beds
• Over 10,000 Out-patient visit per day




  北醫附醫                  萬芳                   雙和


                                                        4
Taipei Medical University
   7 Colleges
13 Departments              Students: 6,059
  16 Graduate               Alumni: 31,214
   Institutes
                  3 TMU
                 Hospital
                     s

   Full-time
Instructor 428               Total Faculty
  Part-time                      6,102
Instructor 649



                                              5
College of Medical Science and Technology - TMU

• Department of Biomedical Informatics
  • 80 master and Ph.D. students
• Department of Medical Technology
  • 60 master and Ph.D., 300 undergraduate
    students
• Department of Cancer Biology and Drug
  Discovery
  • Ph.D. only
• Department of Neuro-regenerative medicine
  • Ph.D. only
Wellness     Medical
 Cloud       Cloud
      國民電子
      健康記錄



    Care Cloud


    Long-term Care
NIST Definition v.15
• Cloud computing is a model for enabling
 convenient, on-demand network access to a
 shared pool of configurable computing resources
 (e.g., networks, servers, storage, applications,
 and services) that can be rapidly provisioned and
 released with minimal management effort or
 service provider interaction.
Five Characteristics of Cloud

• On-demand self-service

• Broad network access

• Resource pooling

• Rapid elasticity

• Measured Service

 “the kind of service that dry-lab biomedical researchers
 would always wanted…”
Other Terms related to Cloud
• Service Model

 • Cloud Software as a Service (SaaS)

 • Cloud Platform as a Service (PaaS)

 • Cloud Infrastructure as a Service (IaaS)

• Deployment Model

 • Private cloud  TMUH as an example

 • Community cloud

 • Public cloud

 • Hybrid cloud
Establishing Tele-Ophthalmology Centres in North East India
Establishing Tele-Ophthalmology Centres in North East India
Establishing Tele-Ophthalmology Centres in North East India
Establishing Tele-Ophthalmology Centres in North East India
Establishing Tele-Ophthalmology Centres in North East India
Establishing Tele-Ophthalmology Centres in North East India
Establishing Tele-Ophthalmology Centres in North East India
Establishing Tele-Ophthalmology Centres in North East India
Establishing Tele-Ophthalmology Centres in North East India
Establishing Tele-Ophthalmology Centres in North East India
Establishing Tele-Ophthalmology Centres in North East India
Establishing Tele-Ophthalmology Centres in North East India
Establishing Tele-Ophthalmology Centres in North East India
Establishing Tele-Ophthalmology Centres in North East India
Establishing Tele-Ophthalmology Centres in North East India
Establishing Tele-Ophthalmology Centres in North East India
Establishing Tele-Ophthalmology Centres in North East India
Establishing Tele-Ophthalmology Centres in North East India
Establishing Tele-Ophthalmology Centres in North East India
Establishing Tele-Ophthalmology Centres in North East India
Establishing Tele-Ophthalmology Centres in North East India
Establishing Tele-Ophthalmology Centres in North East India
Establishing Tele-Ophthalmology Centres in North East India
Establishing Tele-Ophthalmology Centres in North East India
Establishing Tele-Ophthalmology Centres in North East India
Establishing Tele-Ophthalmology Centres in North East India
Establishing Tele-Ophthalmology Centres in North East India
Establishing Tele-Ophthalmology Centres in North East India
Establishing Tele-Ophthalmology Centres in North East India
Establishing Tele-Ophthalmology Centres in North East India
Establishing Tele-Ophthalmology Centres in North East India
Establishing Tele-Ophthalmology Centres in North East India
Establishing Tele-Ophthalmology Centres in North East India
Establishing Tele-Ophthalmology Centres in North East India
Establishing Tele-Ophthalmology Centres in North East India
Establishing Tele-Ophthalmology Centres in North East India
Establishing Tele-Ophthalmology Centres in North East India
Establishing Tele-Ophthalmology Centres in North East India
Establishing Tele-Ophthalmology Centres in North East India

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Establishing Tele-Ophthalmology Centres in North East India

  • 1. Establishing Tele-Ophthalmology Centres in North Eastern States of India Dr M R Surwade Dr S B Gogia SATHI
  • 2. Need for Telemedicine in North Eastern States of India • Difficult Access to healthcare Services • Lesser availability of specialist doctors • Difficult geographical terrain • Time consuming communication/travel • Higher indirect cost of utilizing healthcare services at district or state level
  • 3. Responding to the needs • Application of ICT in form of Telemedicine system can provide solution to overcome barriers • Need based strategic approach • Conducive policy environment provides opportunity • Integrating with the Public Health system is necessary as presence of private sector is negligible
  • 4. The opportunity • Central Government Support – funding and technical • State governments’ willingness and initiatives • Good performance in implementing NPCB • Leadership at state level • Existing Network of CSCs can provide infrastructural base
  • 5. The situation • 18 million blind people in India • Overwhelming majority are blind due to cataract. 75% cases are avoidable blindness • 9000 Ophthalmologists perform about 1.2 million cataract operations a year • The ratio more skewed in North East ( only 14 ophthalmologists in Nagaland) • 8000 optometrists against 40000 required
  • 6. Program Objectives • Develop an effective system for delivery of eye care • Cost effective and efficient delivery of eye care services • Easy access to eye care services • Sensitization of rural population regarding eye care
  • 7. The strategies • Need assessment – prevalence mapping juxtaposed with availability of services • Designing the network of tele- ophthalmology centres • Equipping the centres • Building local capacity – managers of centres and animator frontline workforce • Awareness building at community level
  • 8. Technology architecture • Appropriate for timely and accurate diagnosis • Effective HMIS • Linkages with Tertiary Care Hospitals with minimum 256 kbps dedicated bandwidth • Application software and database centrally located • Various modules: Video Conferencing, Patient records, Content Portal, MIS with Eye exam and optometry equipment
  • 9. Operationalization • Program Management Agency: SATHI in collaboration with SPANCO and local bodies • Trained managers of tele-ophthalmology centres • Community mobilization through link workers • Delivery of services through the network and outreach
  • 10. Role of SATHI • Overall management including monitoring of centres • Collect, distribute and account for medicines and consumables • Operations and maintenance of centres • Ensuring uptime of the network • Availability of power back-up
  • 11. Building Local capacity • Orientation of state program managers • Identification, selection and training of tele- ophthalmology centre managers • Training of link workers – ASHA, Extension Workers and NGO volunteers • Setting up of tele-ophthalmology network : Central Unit and peripheral centres
  • 12. Expected Impact • Significantly contribute to well being of rural population • Enhance the capacity of eye care in the state and • Improved access to eye care services • Development of effective, integrated and sustainable model for telemedicine system • Reduce the burden on secondary and tertiary level health facilities • Help achieve the goals of “ Vision 2020 – The Right to Sight”
  • 13. Current status • 3 centres at Aizwal, Lunglei and Chaphai started • 5 more centres in remaining districts are being set up – installation is in progress • Managers of centres trained • Communications and Social Mobilization Strategy developed • Training modules for centre managers and link workers developed
  • 14. Ensuring sustainability • Robust hardware and software adapted to the local situation • Trained workforce – Managers at centres and Link workers at community level • Affordable user charges • Support systems: HMIS, Free spectacles, medicines and other consumables, follow-up of patients • Effective community participation • Involvement of all stakeholders
  • 15. TELEMEDICINE SUPPORTED TOTAL EYE CARE PROJECT Dr Manoj Rai Mehta and Ruchi Agrawal ASTER EYE CARE DM EYECARE (DELHI) PVT LTD 5E/08 B.P. RAILWAY ROAD, FARIDABAD Phone no. 0129-2410231 32 RING ROAD, LAJPAT NAGAR IV, NEW DELHI Phone no. 011 3085337-39
  • 16. INTRODUCTION  Ehealth projects fail more due to Technology (20%) the personnel (40%) rather than Engineering (35%) technology (20%) Business Process  Concept of Change Management Change Management  Failure is always 100% (40%)  The simplest failures are Luck (5%) the biggest
  • 17. BACKGROUND  Planned tele-ophthalmology project in North East  To be run by Ophthalmic assistants at the periphery  Co-ordination and control by Ophthalmic Surgeons  Learning and execution of the personnel key to success  Learning required of all aspects  Eye care  Managing Ehealth  General Administration
  • 18. LEARNINGS REQUIRED  Marketing / orientation  of link workers and pts  Registering the patient  Arranging Tele-consultation  Maintaining Equipment
  • 19. EYE CARE  Eye examination (Snellens charts/ Use of Slit Lamp etc)  Remove sutures  Provision of Specs - Glass grinding  Keep and maintain case notes  Supply and administer medicines
  • 20. OBJECTIVES  TRAINING IN EYE CARE  Eye examination  Slit Lamp  Vision  Ophthalmoscope  Glass grinding  Streak retinoscope
  • 21. TRAINING OF IT AND GENERAL ADMINISTRATION  IT Hardware/Software  Connectivity - TCP/IP  Management information Software – Medic Aid  Electronic Medical Record keeping  Remote Desktop excess – Skype/timeviewer etc  Networking and data synchronization
  • 22. METHODS  METHOD - Training come workshop DURATION – 15 days  3 ASSISTANTS - Basic knowledge  INCLUDES  classroom lectures  workshops at 2 hospitals  optical center  trip to lenses manufacturing company.
  • 23. RESULTS WRITTEN ASSESSMENT – 1 hr questionnaire of 60marks + spotting of 40 marks. CONCLUSIONS OF ASSESSMENT – Reviewed for feedback. CONSENSUS – Advance comprehensive course
  • 24. LEARNING OBJECTIVES  Expand formal training in areas of technology applied to healthcare including computer sciences and telecommunication technologies to facilitate the deployment of telemedicine.  Understand the basic requirements for the delivery of telemedicine services.  Differentiate and apply telemedicine technologies and practices in a variety of health care environments. (With support from out partners)  Identify eye problems and provide basic care at the community level
  • 25. TELEOPHTHALMOLOGY MODULE OBJECTIVE OF THE MODULE – Basic understanding of –  Goals of this course  vision for telemedicine  foundations of telecommunications,  applying telecommunications to health care and ophthalmology  challenges to telemedicine  Includes – History, terminologies, types of telemedicine systems, examples of telemedicine in clinical practices etc.
  • 26. COMMON EYE PROBLEMS AND ITS MANAGEMENT MODULE  Refresher on anatomy of the eye ball.  Applied physiology related to the eye.  Differential diagnosis of red eye and analytical approach.  Painful loss of vision.  Painless loss of vision.  Equipments-OCT/FFA/ slit lamp/Auto refractor/ Applanation tonometer.  Surgically managed cases –Cataract, glaucoma and VR procedures  Eye in systemic diseases.
  • 27. MODULE ON SPECTACLE MANAGEMENT AND OPTICAL  Focuses on significance of spectacles and contact lenses and their management.  Includes understanding of -  Optics of refraction,  Visual acuity  Types of refractive errors  Corrective lenses  Bases of contact lens fitting and types of contact lenses etc
  • 28. MODULE ON TELEMEDICINE  Various IT modules of patient care.  Networking  Getting online support  Services provided through Teleophthalmology  Routine and Follow up examinations.  Routine and follow up consultation.  Clinical Support Services
  • 29. MODULE ON SOFTWARE FOR PATIENT MANAGEMENT  SOFTWARE TRAINING  OPHTHALMIC IMAGES  Basic application of teleophthalmic  Capture software.  Manipulation / Compression  Methods of data feeding and  Storage retrieving.  Retrieval  ELECTRONIC MEDICAL RECORDS
  • 30. MODULE ON INFORMATION TECHNOLOGY  Focuses on the planning, construction, development and deployment of telemedicine technology systems.  Telemedicine Systems  Connectivity Options  Bandwidth Limitations  Asynchronous vs. Real-time Interactive  Data applications  The World Wide Web
  • 31. MODULE ON CONNECTIVITY AND COMMUNICATION TECHNOLOGY  Audio  Displays  Data  Storage  Images  Standards  Video  Wireless Devices  TCP/IP and other types of  Diagnostic Tools and Peripherals Networking  Mobile Telemedicine  Telecommunications  Processing
  • 32. GENERAL MANAGMANT MODULE  Human Resources Management  Financial management  Operational management  Medical Records management  Eye care administration
  • 33. MODULE ON MARKETTING /COMMUNITY INTERFACE  Clinical Acceptance  Public Awareness  Government officials  Community leaders  Patient Satisfaction  Public and community medicine.
  • 34. MODULE ON NATIONAL PROGRAMMES  Scope, objectives and government aids provided under various national programs.  National program for blindness control.
  • 35.
  • 36. PRESENTATION © 2011 Spanco Ltd, All rights reserved
  • 37. COMPANY PROFILE: INTRODUCTION • Spanco Limited is a company engaged in creating Large scale Global Head Quarter Mumbai, India Technology Infrastructure to help drive governance efficiency across key sectors. Global Presence India, UK, Africa, USA & Middle East • Consistently ranked in ET500 amongst outstanding companies of India Inc. Rev FY10 1182 Cr. • ISO 9001:2008, ISO 27001 and SEI CMMI Level 3 certified • Focused offerings for Government, Telecom, Power and Transport FY 11 (UA)- 1469 Cr. Verticals • Presence e in Four continents with large spread across major cities in Employees 12000+ India Business structure Shareholding Pattern as on March ‘11 Business Verticals Bodies E-Governance SI / Power Service Provider BPO Retail Corporate investor 10% 15% Technology Infrastructure Sector Modernization(NeGP, RAPDRP,USOF Very Large state and Institution 3g/Wimax,AAIM) National Infra Projects investor Promoters 35% 40% Services Infrastructure Government Application Citizen Interface Outsourcing Management Transformation Development © 2011 Spanco Ltd, All rights reserved
  • 38. COMPANY PROFILE: KEY PROJECTS Smart Card DL/RC SWAN Projects Punjab Disaster Mitigation Maharashtra Andhra Pradesh State State Data Centre Indian Railways Rajasthan - Odisha Passenger Reservation System Key Projects Security Surveillance Airport Authority of India Distribution Franchisee – Nagpur Integrated Border Check post - MPRDC Telemedicine IT Infrastructure CSCs in Maharashtra Anna Centenary Library APDRP Mobile Banking Pension © 2011 Spanco Ltd, All rights reserved
  • 39. COMPANY PROFILE: AWARDS & ACCOLADES Maharashtra State IT Award for Best IT Company in eGov space for 2010 "UDYOG RATTAN AWARD” & “EXCELLENCE AWARD” by the Institute of Economic Studies (IES) Nominated for the NDTV Profit Business Leadership Awards 2010 – IT Category Consistently ranked in ET500 amongst outstanding companies of India Inc. Ranked amongst top 500 Non Finance Companies by ‘The Business World Real 500’ Ranked 5th BPO Company in the Country by Data quest 2010 Amity Leadership Award 2009. Spanco GKS awarded as best outsourcing solution provided in middle east by Insight (Middle East) for 2010 Spanco BPO Ventures Ltd. ranked in India’s Top 20 ITES and BPO Companies 4 © 2011 Spanco Ltd, All rights reserved
  • 40. MIZORAM TELEOPTHAMOLOGY PROJECT BRIEF SCOPE • Setting up a system for delivery of Eye care through Tele Ophthalmology • Supply of IT systems, Medical equipment, Power back up connectivity, furniture and physical infrastructure at multiple sites • Identifying Ophthalmic Assistants, Link workers • Training • Operations, Maintenance • Build database of patients • Creating awareness of the project in the rural areas © 2011 Spanco Ltd, All rights reserved
  • 41. Challenges for Implementation in Mizoram • Difficulty in delivery to State - Permit issues • Difficult Terrain – Long travel time due to road conditions. • Finalization of sites was time consuming because of permissions from department at multiple levels, allocation of space • Lack of availability of Electricity, water connectivity • Availability of Ophthalmic assistants - difficult to get the resources and then move them to remote locations • Link workers - still a challenge (even after approaching several departments). We have finally decided to approach the Church for help • Availability of technical support - difficult to get resources and provide support in remote locations 6 © 2011 Spanco Ltd, All rights reserved
  • 42. Thank You 7 © 2011 Spanco Ltd, All rights reserved
  • 43. Community Level Limb Care Through Telemedicine Arun Rekha Gogia and Dr S B Gogia S.A.T.H.I. www.sathi.org Telemedicine for Limb care
  • 44. Treatment Processes (`) Patient with Medical Problem If Treatment not Adequate (Dressing) Local/ Village Practitioner Low Cost (10) Cost of travel (500) But practitioner should have High Cost Treatment (200) the relevant knowledge Doctor in Cost of stay and Relatives (??) nearest town Time off Work for all (??) Still Affordable (50) Upper Classes or those Super having relatives in major Specialist Towns Centre Telemedicine for Limb care
  • 45. What is Limb care Care of diseases All have common largely localized to Localized Treatment the limbs processes Lymphoedema Cleaning and Dressing Venous Ulcers Compression Bandaging Diabetic Foot Exercizes Other tropical diseases like Yaws and Dracunculosis Drugs 4/15/2012 Telemedicine for Limb care 3
  • 46. Why Limb Care is ideal for Telemedicine Knowledge of how to care is however missing  The condition progresses because of Such neglect  Chronic condition -so long term supervision required  More of a Social Problem (cosmetic/ odor)  Results in Loss of self-esteem, inability to work---may leed to possible depression  How many are willing to travel distances or get relatives to take them along? (repeatedly  Required Care is easy and possible at the community level 4/15/2012 Telemedicine for Limb care 4
  • 47. OBJECTIVE Lymphoedema 4th highest cause of morbidity in the world The provision of lymphoedema services worldwide varies from very well developed care to virtually no provision (e.g.India/Africa). Many patients are not properly diagnosed and there is a pervasive impression that the condition is rare, causes few problems, is not life threatening and cannot be treated. However, without adequate treatment, lymphoedema can have major effects, including long-term disability, difficulties with work and emotional problems.
  • 48. Filariasis - extent of problem Global: 1100 million at risk of infection, 120 million pts India: 553 million at risk, 48 million pts 40% of Global disease burden in India India is committed to elimination by 2015  261 Districts Endemic  7 States contribute 95% of the burden Lymphoedema occurs after other problems too  Loss e.g congenital,trauma  103 million man days due to acute disease ,Vascular, cancer and  1098 million man days due to chronic disease every year the incidence is  Estimated Annual Loss of 1.5 Billion US $ increasing. Telemedicine for Limb care
  • 49. Possible Solution Creating Integrayted lymphoedema service centers that would aim to identify patients with swelling early so that treatment is timely and effective and enables patients to remain active and to self-manage their condition.
  • 50. Limb care in rural areas Creating awareness • Problem of Lymphoedema  Most care is possible locally along with long term follow • and Ulcers requires up and maintenance • Leg washing  Machines and equipment that can be sent • Antibiotics (Penicillin*) • Massage and bandaging can • Physical Massage be taught • Drugs • Appointments for surgery • Heat Treatment after full work up • Pneumatic Compression • Thus patient needs to spend little time outside his village • Nodo - Venous Shunts* • More complicated procedures* * These items require support from clinicians Telemedicine for Limb care
  • 51. DEFINING THE DESIRED SERVICE Correlating condition severity to level of intervention With Education and awareness 70 to 80% can be self-managed Level I Case Management Includes the provision of intensive therapy top of the Disease specific pyramid (5- 10%) Care/ High Risk Management By paramedics under supervision (10-20%) Self-care support for Level III for 70–80% of long term condition population
  • 52. The project The approach* SATHI Role • Mass creation of treatment and – Supply equipment follow up centres (e.g. in – Train paramedical staff to run collaboration with CSC Providers) the centres • Local health workers provide basic – Engage and train Surgeons in care. surrounding townships – Training and Initial review of – Troubleshooting and further patients Online management from our centre • Local surgeons for monitoring and procedures – Orientation and training Online A demonstrative result * initial MOU with Spanco – (working in coastal Maharashtra)
  • 53. Range of Problems Lymphoedema and Processes they need associated cellulitis Diagnosis Diabetic foot Dressing Non Specific Ulcers Bandage Antibiotics/other medicines Physiotherapy and Exercizes Most can be understood through visual or aural means so IT based support possible Telemedicine for Limb care
  • 54. More Details Local health workers provide Set up franchises with local basic care on a profit sharing Surgeons for model e.g. Initial consultation – Identifying patients First dose of Penicillin – Leg washing instructions – Use machines on rental basis Initial care plan – Bandaging Surgical procedures as and – Measurements for garments when required – Issue drugs and antibiotics Local pharmacies to – Follow up and maintenance Sell equipment, bandages etc to the Village level partners Uses IT based support for all centres Direct to patient sales Telemedicine for Limb care
  • 55. Limb care clinics ?Funding Agency/ (Funds) SATHI AIIMS/GMC (Conceptualization Coordinator Local Hospital and implementation) Hardware Consumables Plastic Surgeon Expert Doctors LOCAL NGO/ Patients VLE Range of diseases: Lymphedema/Ulcer/Venous for Limb care Telemedicine problems/Diabetic foot
  • 56. Current Progress Lymphedema counseling centre at AIIMS – Around 200 patients given advice (mostly breast cancer) – Support from Rotary for free bandage kits Telemedicine for Limb care
  • 57. Rotary Counseling Clinic at AIIMS  Partners in Healing (RCDS)  Assisting and off loading doctors.  Repetitive tasks assigned to regular patients  Group learning of therapy  Improved psychological and social acceptance  Compliance due to shock of seeing advance cases  About 200+ patients have already been registered in last 12 months Telemedicine for Limb care
  • 58. Camp at Cardinal Gracias Hospital Vasai (Thane) 67 patients seen in 1 day 51 given initial dose of penicillin 14 planned for surgery Candidiasis in 49 Telemedicine for Limb care
  • 61. Rural Centre in Sindhudurg Training and Orientation Setbacks camp done Connectivity slow Wide publicity thanks to s Press conference No doctor to administer Penicillin! Machine provided curtsey RCDS Nearest identified and approved hospital is Goa Online sessions through but a different state Skype – Telemedicine for Limb care
  • 62. Goa Medical College 51 Patients seen, Lectures and Inquiries for further extensions - two demonstrative surgeries Kerala, Orissa, Tamilnadu done in a 3 day workshop s Plan to set up 3 centres in collaboration with DHS – Telemedicine for Limb care
  • 63. A Teaching example Wrong - adding obstruction The correct method Telemedicine for Limb care
  • 64. To summarize www.sathi.org Lymphedema is common and treatable with or without ulcers Treatment mostly at the community level - requires care of infections and Compression A community based approach supported by telemedicine has been started 48 million pts are suffering Telemedicine for Limb care
  • 66. Dr. Karanvir Singh MBBS, MS, FRCS (Glasgow) Consultant Surgeon Head of Medical Information Informatics Sir Ganga Ram Hospital
  • 67. Data mining ◦ Extracting patterns from large data sets  Business intelligence ◦ Analyzing this data with an aim to support better decision making
  • 68. Hospital information systems capture huge amounts of data  Although reports are available for viewing captured data, analysis is not always possible
  • 69.
  • 71. Abnash Puri Arun Kumar Ashok Kumar Chander Kanta Gouri Ghanshyam How many persons have a K in their name? Gulab Devi Gulab Chhikara … or R Harkishan Batra … or S Jaya Sonowal Lalita Singh How many have all three in their name?
  • 72. K R S Abnash Puri Ö Ö Arun Kumar Ö Ö Ashok Kumar Ö Ö Ö How many persons have a K Chander Kanta Ö Ö in their name? Gouri Ghanshyam Ö Ö … or R Gulab Devi Gulab Chhikara Ö Ö … or S Harkishan Batra Ö Ö Ö Jaya Sonowal Ö How many have all three in their name? Lalita Singh Ö
  • 74. The HIS will index only what is essential to its daily functioning.  If you want to analyze data in detail, you need to create indexes externally.
  • 75. Speedminer is our data mining and business intelligence software.  It copies all HIS data on a separate server and indexed everything we want to analyze.  By Hesper, Malaysia, but implemented and supported in India
  • 76. Internal process monitoring Clinical data analysis Financial analysis
  • 77.
  • 78. Episode.avi
  • 79. Looking up patients with Diabetes and Hypertension ◦ Diagnosis_2.avi Operation diagnosis analysis ◦ Operation Diagnosis analysis.avi
  • 80. Dashboards interact with users. They can accept input parameters and display results  Key Performance Indicators (KPI) C_Section.avi Lab income.avi
  • 81. Garbage In = Garbage Out  Data Mining can only be as accurate as the data that is captured in the HIS  The HIS needs to have ‘granular’ fields. Once deployed, it is difficult to change field types
  • 82. What gets measured gets managed.  Historically, hospitals have been data rich but information poor.  IT investment had done little to enhance the strategic use of data, till BI came along.  HIS is just a milestone  BI is the next milestone - it is what provides a ROI on HIS investment
  • 83. .
  • 84.
  • 85. Role of Knowledge Based Expert Medical Systems in improving Quality of Healthcare NCMI 2012 – Paper submission 64 DR SHRUTI GADGIL, MBBS, IAMI Life member 31-Jan-2012 Dr Shruti Gadgil 1
  • 86. Paper Details  Introduction  What is “Knowledge Based Expert Medical Systems”  Current situation in Indian Healthcare system Vs defined framework of Quality Of care in developed countries.  Method  Knowledge Based Medical Systems using Data Mining techniques and Concurrent Chart Abstraction for improving quality of care.  Discussion  Healthcare Quality Measurement – need in India 31-Jan-2012 Dr Shruti Gadgil 2
  • 87. What is Knowledge Based Expert System?  These are the variants of Clinical Decision Support Systems (CDSS) that use knowledge based techniques to support clinicians in decision making, learning, action and can also be used to measure & monitor quality of care.  Based on various data mining techniques and patient’s parameter specific validations.  Functional Types –  Concurrent –  Work at the time of patient care  Non concurrent –  Post patient discharge processing 31-Jan-2012 Dr Shruti Gadgil 3
  • 88. Clinical Workflow & CDSS • Patient’s Demographic Details Inputs to 1. Patient’s age, sex • Patient’s Insurance Details CDSS 2. Insurance Health Plan Patient Registration • History of present illness 1. Chief complaints • History of known medical conditions & Inputs to 2. Allergies allergies CDSS 3. Vital Signs Initial assessment by • Family History, Social History 4. Genetic preponderance Medical assistant • Recording of Vitals • Summary of positive medical History 1. Signs general (clinical) • General Examination Inputs to 2. Signs system specific (clinical) • Systemic Examination CDSS 3. Differential Diagnosis Consultation (part 1) with • Assessment and Plan Physician for assessment • Documentation of provisional Diagnosis • Documentation of provisional Diagnosis 1. Orders • Orders for necessary investigations Inputs to 2. Medications Prescribed • Prescription based on Provisional Diagnosis CDSS 3. Follow up Consultation (part 2) • Follow up instructions 4. Patient’s experience of episode of with Physician for plan of action care 31-Jan-2012 Dr Shruti Gadgil 4
  • 89. Measurement Of Quality Of Care – A key Driving Factor Physician Performance Monitoring Measurement of Quality of Care Improvement in Quality of Care and Reduction in the cost of Healthcare 31-Jan-2012 Dr Shruti Gadgil 5
  • 90. Knowledge Based Medical System - Benefit to All  Benefit to Patients –  Most appropriate treatment according to set protocol  Better care at reduced cost  Benefit to Clinicians  Clinical analysis results reports –  Failure of adherence to a clinical protocol for a physician or nurse.  Physician specific lines of treatment etc.  Study Population identification  Identify specific type of patients in the database based on the clinical parameter.  Research /Publications  Excellent opportunity for the physicians to generate physician specific reports that can be used for their publications, research and even clinical trials.  Statistical data to prove the facts is easily available.  Analyzing the outcomes and cause/effect relationships is made easy.  Medico legal Cases –  Consolidated data available to support the decisions made. 31-Jan-2012 Dr Shruti Gadgil 6
  • 91. Knowledge Based Medical System - Benefit to All – cont….  Benefits to Administrators  Process checks  Excellent data points to track the process improvements and performance reviews for Hospital Administrator and Quality Department. (ADT analysis)  It can measure efficiency based upon timely action by clinical staff.  Admission, transfers and discharges can be analyzed to determine how efficiently patients are moved in & out or within the organization.  Benchmarking of performance indicators is possible with use of such systems.  Analyzing the outcomes and cause/effect relationships is made easy.  Costs  Alerts to inform administrators of performance trends that have crossed a threshold.  Lowers the cost for management systems by consolidating data from disparate systems and eliminating staffing and maintenance cost.  Medico legal Cases - follow up is easy  Provides input for the Insurance Organizations while establishing or renewing the service contract with the Hospital. 31-Jan-2012 Dr Shruti Gadgil 7
  • 92. Knowledge Based Medical System - Benefit to All – cont…. 31-Jan-2012 Dr Shruti Gadgil 8
  • 93. Knowledge Based Expert Systems – Need in India – Clinician’s perspective  Lack of standardization in Quality assessment criteria.  Monetary benefit to the physician is independent of the measurement of quality of performance.  Rapid penetration and spreading Insurance network.  Medical Tourism – pushing the cost of care up.  Increasing cost of Healthcare. 31-Jan-2012 Dr Shruti Gadgil 9
  • 94. Knowledge Based Expert Systems – Need in India – Clinician’s perspective –cont…  Lack of appropriate legislations for noncompliance.  Increased gaps in affordability of Socio economic strata.  Lack of trained medical staff /physicians in rural areas.  Lack of awareness of Human rights and superstitious approach towards healthcare provider. 31-Jan-2012 Dr Shruti Gadgil 10
  • 95. Knowledge Based Medical System - Benefit to All Thank You! 31-Jan-2012 Dr Shruti Gadgil 11
  • 96. EVALUATION OF COMPUTER USAGE IN HEALTHCARE DELIVERY AMONG PRIVATE PRACTITIONERS OF NCT DELHI ORAL PRESENTATION Ganeshkumar P* Arun kumar sharma O.P.Rajoura Assistant professor, Department of Community Medicine, SRM University, India.
  • 97. BACKGROUND AIMS METHODOLOGY RESULTS CONCLUSION SCOPE BACKGROUND • Indian health system - increasing cost and demand pressures and a shortage of skilled health care workers till the root • Poor integration of information - between the health sectors - incapable to handle public health issues & lack of proper evidence in public health decisions • 70% of the population use - private sector -not integrated with the govt. system & often not regulated. • Ehealth strategy – proven solution ; remains incompetent in pvt. sector – never documented or little initiatives to assess the utilization of ICT by the private health care delivery systems in India. NCMI 2012 , Ganeshkumar - 26 2
  • 98. BACKGROUND AIMS METHODOLOGY RESULTS CONCLUSION SCOPE AIMS AND OBJECTIVES 1.To evaluate the usage and the knowledge of computers and Information and Communication Technology (ICT) in health care delivery by private practitioners. 2.To understand the determinants of computer usage by the private practitioners. NCMI 2012 , Ganeshkumar - 26 3
  • 99. BACKGROUND AIMS METHODOLOGY RESULTS CONCLUSION SCOPE METHODOLOGY Cross-sectional study – Nov’ 07 – Dec ’08 – 3 districts of Delhi state – 600 clinic based private practitioners . • Inclusion criteria: only modern medicine practitioners; practicing for 1 year in same location Software USAGE Hardware KNOWLEDGE Internet NCMI 2012 , Ganeshkumar 26 4
  • 100. BACKGROUND AIMS METHODOLOGY RESULTS CONCLUSION SCOPE KNOWLEDGE SOFTWARE – 60% MEDIAN COMPOSITE HARDWARE – 10% SCORE INTERNET – 30% 15 POTENTIAL BARRIERS 60 Patient Technical Logistic Financial related 7 & 28 3 & 12 3 & 12 2&8 SA A N D SD NCMI 2012 , Ganeshkumar 26 5
  • 101. BACKGROUND AIMS METHODOLOGY RESULTS CONCLUSION SCOPE RESULTS • 85.5% - males and the mean age of all - 45.46±5.52 years • 77% - own computer - but only 10.5%(63) – using in clinic • 22% - had known about EHR – but only 8.8% - using in clinic • Male and super speciality practitioners - more knowledgeable PRESENCE OF EHR COMPUTER PRACTICE IN THE CLINIC KNOWLEDGE SCORE SPECIALTY N(%) (MEAN ± SD) General practice 20(5.7) 2.26±1.05 General surgery 1(3.6) 2.48±1.04 Internal medicine 11(17.2) 2.42±1.07 Super speciality 16(24.6) 3.1±0.98 Others (Paeds,O&G) 5(5.3) 2.43±1.03 Statistical test X2: 32.22 df:4 p<0.000 SSB:40.02 df:3 p<0.000 MIE 2011, Ganeshkumar 26 6
  • 102. BACKGROUND AIMS METHODOLOGY RESULTS CONCLUSION SCOPE • Practitioners who attended a computer course were 13.8 times [OR: 13.8 (7.3 - 25.8)] more likely to have installed an EHR in the clinic • Most (86.3%) thought - lack of time was the major barrier and nearly 50% – disagreed that cost is not a barrier • Data entry - a cumbersome process - reasons for not installing a computer in their clinic POTENTIAL DETERMINANTS ADJUSTED ODDS RATIO P VALUE Speciality practice 1.9(1.15-3.12) 0.011 Super speciality practice 8.18(2.57-5.99) 0.000 Presence of computer 3.93(1.67-9.26) 0.002 professional in the social circle Female practitioners 0.493(0.27-0.87) 0.016 NCMI 2012 , Ganeshkumar 26 7
  • 103. BACKGROUND AIMS METHODOLOGY RESULTS CONCLUSION SCOPE CONCLUSIONS • Computer in clinical practice – low usage – low understanding – low priority • Existing knowledge by training influences more positively in practicing a new technology in their clinical practice • Limitation - cross sectional study - difficult to establish temporal assoc. between knowledge and usage • Major perceived barriers - technical related issues • Significant determinants of usage – Practice speciality, – income, – presence of a computer professional in the family and – gender - significant determinants of usage NCMI 2012 , Ganeshkumar 26 8
  • 104. BACKGROUND AIMS METHODOLOGY RESULTS CONCLUSION SCOPE SCOPE • Educating & training the doctors and a step forward - the students in medical school • Encouragement by government for using computers in clinic – policy design • Regulations for mandatory maintenance of electronic records • Involving professional bodies in govt. programs – Public private partnership – ehealth • More research into the usability – patients & doctors – potential determinants – diffusion of technology in practice NCMI 2012 , Ganeshkumar 26 9
  • 105. THANK YOU FOR YOUR ATTENTION DR.P.GANESHKUMAR MD SRM UNIVERSITY ganeshkumardr@gmail.com +91 98406-40483 NCMI 2012 , Ganeshkumar 26 10
  • 106. WISHING YOU ALL MERRY CHRISTMAS AND A VERY HAPPY NEW YEAR COMPURX INFOTECH WELCOMES EVERY ONE IN THE GATHERING AND INTRODUCES ITSELF AS AN UNIQUE SOFTWARE DEVELOPMENT COMPANY DEDICATED SPECIALLY TO HEALTHCARE GIVING YOU A BRIEF INTRODUCTION TO ITS ACTIVITIES AND PRODUCTS WITH YOUR KIND PERMISSION
  • 107. PRESCRIPTION PAD VER – 3 A PRESCRIPTION WRITING SOFTWARE A TOOL TO WRITE 100% SAFE, ERROR FREE & FIRST RATE PRESCRIPTION
  • 108. Why Prescription Pad ? HOW MANY TIMES  You have yearned to get complete details of a drug especially when some near & dear is sick ?  You had to strain to remember the safety profile of a drug ?  You have diagnosed a disease but don't remember its recent treatment / drug dosage ?  You wanted to see previous prescriptions / records of a patient which he has lost or has forgotten to bring ?  Has the chemist dispensed wrong medicine due to ineligible writing in the prescription ?  You depend on chemist's choice for a substitute in the prescription which he doesn't have because you fail to remember any alternative brand ?  You have felt that there should be some way to avoid rewriting a frequently encountered disease's prescription to save time ?
  • 109. Statistical Analysis of Prescription Pad 2.0  Diseases Details (with Advised Investigations) 1500  Brands (Trade Name) with Complete Prescription Details 45000  Complete Drug Monographs 2500  Drugs with Complete Pharmacological Information and Drug Safety Parameters 2500  Handouts (for Diet, Exercise, Diseases etc) In English / Hindi 600  Drug Interaction (with Complete Interaction Details) 55000  Investigations - (with Complete Details) 700  Pharmacological Groups of brands 950  Special Precautions 400  Procedures / Surgery 1700  WHO Standard Vaccination Schedule  Total text information in the software cosists of (pages) 50,000 And Much More with the Flexibility to Add Endless No of Records.
  • 113. FIND OPTION IN DRUG MASTER
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  • 118. DISEASE RELATED INFORMATION SCREEN AFTER DISEASE ENTRY
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  • 123. EXAMPLE OF DRUG SAFETY MESSAGE
  • 124. EXAMPLE OF DRUG SAFETY, DISEASE WISE
  • 125. DRUG INTERACTION POP UP SCREEN
  • 126. DRUG DUPLICATION WARNING SCREEN DRUG DUPLICATION WARNING
  • 127. EXAMPLE OF PRESCRIPTION GENERATED BY THE SOFTWARE
  • 128. EXAMPLE OF INVESTIGATION REPORTS THROUGH THE SOFTWARE
  • 130. EXAMPLE OF HAND OUTS OF THE SOFTWARE
  • 135. DIFFERENT TYPES OF REPORTS GENERATION UTILITY
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  • 142. ARTICLE IN THYROCARE MAGAZINE
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  • 144. News item in HINDU PAPER
  • 145. NEWS ITEM IN HINDU PAPER
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  • 154. DOCTOR, IF YOU ARE INTERESTED IN THE SOFTWARE FOR YOUR PRACTICE THEN CONTACT US AT THE COUNTER FOR MAXIMUM ON SPOT DISCOUNT
  • 155. Thank You for your Kind Attention
  • 156. CLOUD COMPUTING FOR MEDICAL RESEARCH AND HEALTHCARE Yu-Chuan (Jack) Li, M.D., Ph.D., FACMI Graduate Institute of Biomedical Informatics College of Medical Science and Technology Taiwan Medical University
  • 157. Taiwan • 23 Million people • GDP: $30,000 USD • 80% IC Chips, 70% Notebooks and PDA, 60% LCD screens ... • 500 hospitals and 17,000 clinics  high IT adoption rate since 1996
  • 158. Taipei Medical University (TMU) • Top private medical university in Taiwan • 6000 students, 620 faculty members, 7 colleges • Closest to the world’s highest building – Taipei 101
  • 159. TMU Healthcare Group • Largest JCI-Accredited teaching hospitals in Taipei • 3,150 beds • Over 10,000 Out-patient visit per day 北醫附醫 萬芳 雙和 4
  • 160. Taipei Medical University 7 Colleges 13 Departments Students: 6,059 16 Graduate Alumni: 31,214 Institutes 3 TMU Hospital s Full-time Instructor 428 Total Faculty Part-time 6,102 Instructor 649 5
  • 161. College of Medical Science and Technology - TMU • Department of Biomedical Informatics • 80 master and Ph.D. students • Department of Medical Technology • 60 master and Ph.D., 300 undergraduate students • Department of Cancer Biology and Drug Discovery • Ph.D. only • Department of Neuro-regenerative medicine • Ph.D. only
  • 162. Wellness Medical Cloud Cloud 國民電子 健康記錄 Care Cloud Long-term Care
  • 163. NIST Definition v.15 • Cloud computing is a model for enabling convenient, on-demand network access to a shared pool of configurable computing resources (e.g., networks, servers, storage, applications, and services) that can be rapidly provisioned and released with minimal management effort or service provider interaction.
  • 164. Five Characteristics of Cloud • On-demand self-service • Broad network access • Resource pooling • Rapid elasticity • Measured Service “the kind of service that dry-lab biomedical researchers would always wanted…”
  • 165. Other Terms related to Cloud • Service Model • Cloud Software as a Service (SaaS) • Cloud Platform as a Service (PaaS) • Cloud Infrastructure as a Service (IaaS) • Deployment Model • Private cloud  TMUH as an example • Community cloud • Public cloud • Hybrid cloud