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Demonstrating the success of the e-health
   in resource poor (and developed)
             economies.
           Making it work.

                          AIHI, UNSW
                         28th June 2012.
               DR TERRY J HANNAN MBBS;FRACP;FACHI;FACHI
                        HEALTH INFORMATICIAN




July 9, 2012
Schema for presentation.

•The journey to Kenya
•POWH-OCIS to CCCIS-lessons learnt
•AMIA November 1999
•Eldoret January 2000
•MMRS to AMPATH to OpenMRS
•AMIA 2007
•Update on status of OpenMRS project
•3 x short movies (~3-4mins each)
• Questions
July 9, 2012
1982-1984 Non clinical evaluation
    1984-1986 physician involvement and evaluation

      1984-1987 ABSTRACT[SUMMARISATION]            modification and implementation (Continuing evolution)



        1986-1987 Modification of   program / dictionaries /screen displays / reports / units of measurement

            1986 MANUAL data entry of laboratory data
              1987 MANUAL data entry by NURSING STAFF of clinical          / protocol / chemotherapy data


                   1988-1989 AUTOMATED LABORATORY DATA TRANSFER

                        1989 REPORT GENERATOR functions(FLOWS &PLOTS)
                            •  DRG diagnostic data electronically collated for administration [2nd art to
                                    CLINICAL DATA].
                                    CLINICAL TRAILS module implemented
                            1990-1992 Protocol generated care plans tested and evaluated


                          10 years
 Hannan, T., International transfer of the Johns Hopkins Oncology Center clinical information
 system. MD Comput, 1994. 11(2): p. 92-9.
“Bibles of Health Informatics”




July 9, 2012
ACKNOWLEDGEMENTS FOR AMPATH/OPENMRS
                    INFORMATION

                             W. Tierney
                         Andrew S Kanter,
                         Hamish SF Fraser,
                      Christopher J. Seebregts,
                           Paul Biondich,
                           Burke Mamlin,
                        Sylvester Kimaiyo,
                           Charles Safran,
                            Joaquin Blaya
                            Dave Thomas
                             Joe Mamlin
                         Sylvester Kimaiyo
           OpenMRS consortium participants www.openmrs.org
July 9, 2012
Collaborators and Funders
                   Partners In Health
                   Regenstrief institute
                   Medical Research Council, South Africa
                   World Health Organization
                   US Centers for Disease Control
                   Brigham and Women hospital
                   Harvard Medical School
                   University of KwaZulu-Natal
                   Millennium Villages Project
                   International Development Research
                    Centre, Ottawa
                   Rockefeller Foundation
                   Fogarty International Center, NIH
                   Boston Consulting Group
July 9, 2012
                   Google Inc
                   PEPFAR
Health care is an information business

Information is not a necessary adjunct to care, it is care, and
      effective patient management requires effective
           management of patients’ clinical data.
   Donald M. Berwick President and CEO, Institute for
                 Healthcare Improvement


   There is no health without management, and there is no
             management without information.
   Gonzalo Vecina Neto, head of the Brazilian National
                 Health Regulatory Agency
  July 9, 2012
TECHNOLOGY IS NOT THE PROBLEM
    [30 years EMR experience and research]
Retrieval times-Fast (blink times)
Data and information-Comprehensive
Data storage- Long-term-lifelong
Data applications-Introspective of total database
Data storage-
   200 million coded observations               By products of the care process
   3.25 million narrative reports               RESEARCH-accuracy / $
   15 million prescriptions                     EPIDEMIOLOGY
   212,000 ECG tracings                         ADMIN SUPPORT
   More than 1.3 million patients               “Record once use many times”
Access-
   1300 medical nurses
   1000 physicians
   220 medical students
   Across health care institutions (16)
   Data access more than 628,000 / month
     C.J. McDonald, et al, The Regenstrief Medical Record System: A quarter century experience. Int J
 July 9, 2012Inform 54 (1999), 225‑ 253.)
             Med
CCDSS TOOLS IN CLINICAL MEDICINE-REQUIREMENTS

1.ALERTING
2. REMINDING
3. INTERPRETATION
4.ASSISTING
5.CRITIQUING
6.DIAGNOSING
7.MANAGING
8. KNOWLEDGE ACCESS /COUPLING
[“Medicine in Denial.” L.Weed,L.Weed.2011]
                Pryor TA, Clayton PD. Decision support systems for clinical medicine.
 July 9, 2012                                                                       9
                Tutorial 11.15th SCAMC.Nov. 17. 1991.
SUMMARISATION
1. Communication of health care is maintained using a
Summary patient format in the ambulatory setting.
Fries. J. Alternatives in medical record formats. Medical care. 1984;12:871-881



6. Summary patient record
- information accessible four times faster
-    contains up to four times more information
-    Tabulated results allow physicians to better
   predict future trends in results
   Whiting-O’Keefe QW,Simborg DW,Epstein WV,Medical Care 1980;18:842-852
USING PHYSICIAN INPATIENT ORDER WRITING ON
   MICROCOMPUTER WORKSTATIONS. REDUCTION IN HEALTH
   CARE RESOURCE UTILISATION

   $3 million per year savings-(USA $65b)
       0
      -2
      -4                                                                 TOTAL
                                                                         BED
      -6
                                                                         TEST
      -8                                                                 DRUG
                                                    -10.5
     -10                                                                 OTHER
               -12.7 -11.9 -12.5                                         LOS
     -12
     -14                             -15.3 -15.2
     -16
Physician inpatient order writing on microcomputer workstations-effects on resource
    July 9, 2012
utilisation. WM Tierney and others. JAMA 1993;269:379-383
Intermountain Health Care, Salt Lake City, Utah, USA


      STUDY DESIGN
      • Computer-based EMR system
      • Patients discharged January 1, 1988 to December 31, 1994
      • 162,196 patients

      •Goal: to determine clinical and financial outcomes of the
      • antibiotic practice guidelines implemented through the
      • computer system


Pestotnik, S. L. Classen, D. C. Evans, R. S. Burke, J. P. Implementing antibiotic practice
guidelines through computer-assisted decision support: clinical and financial outcomes.
Ann Intern Med 1996 May 15
 July 9, 2012
Intermountain Health Care, Salt Lake City, Utah, USA

Overall antibiotic use:                       decreased 22.8%
Mortality rates:                              decreased from 3.65% to 2.65%
Antibiotic-associated ADE:                    decreased 30%
Antibiotic resistance:                        remained STABLE
Appropriately timed preoperative a/biotics:   40% to 99.1%
Antibiotic costs per treated patient:         decreased $122.66 to $51.90
Acquisition costs for antibiotics:             fell 24.8% to 12.9%
                                                     ($987,547) to ($612,500)

Our Case-Mix index which measures patient acuity levels
INCREASED during this period, meaning we were treating
sicker and sicker patients while better utilizing the delivery of
antibiotics.

Pestotnik, S. L. Classen, D. C. Evans, R. S. Burke, J. P. Implementing antibiotic
practice guidelines through computer-assisted decision support: clinical and
financial outcomes.Ann Intern Med 1996 May 15
  July 9, 2012
AMIA –
November 1999
An invitation from
Prof. Bill Tierney
To KENYA Jan
July 9, 2012
AIDS in Africa
                 The Global AIDS Pandemic at a Glance-2000

   Leading infectious cause of adult death in the world
   Leading cause of death in adults aged 15–59
   First case of AIDS recognized in 1981
   40 million persons now living with HIV/AIDS, 50% women
   >70% of HIV-infected persons living in Africa
   14,000 new infections daily
   Sexual transmission responsible for more than 85% of
    infections
   6 million in need of immediate treatment and fewer than 8%
    receiving it

SOURCES: Quinn and Chaisson, 2004; WHO, 2003a,b.
AIDS in Africa
In Kenya…
    2.5 million persons infected (15% of adults)
    4th behind South Africa, India, and Nigeria
    1 million AIDS orphans (of 31 million citizens)
    life expectancy has dropped 18 years in the
     past 5 years, from 65 → 47 years
One solution: Academic
             collaboration
 14-year collaboration between IU and MU
 1st 11 years → focus=educational exchange
 In 2001 Joe Mamlin returned
     found >50% of the beds in Moi Hospital were
      filled with young people dying of AIDS
     no ARVs, few antibiotics for opportunistic
      infections
     despair, depression, resignation

   Then…Daniel
Limited resources
July 9, 2012
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A response to HIV
July 9, 2012
30-40 million
                   cases HIV/AIDs




 Existing systems overburdened
July 9, 2012
Assignment: knowing there is a 14% prevalence of HIV/AIDS.
               What are the health information management needs here?


                                                                   PreMMRS




July 9, 2012
July 9, 2012
July 9, 2012
July 9, 2012
July 9, 2012
Assignment: knowing there is a 14% prevalence of HIV/AIDS.
               What are the health information management needs here?


                                                                   PreMMRS




July 9, 2012
MMRS data (2 years)
                    63,728 visits
      Diagnoses      # Visits         Drugs            # Visits
Malaria              17,495     Paracetamol            24,944
URI                   8,479     Fansidar               11,550
Septic wound          1,329     Quinine, injected       8,769
Gastroenteritis        964      Penicillin, injected    8,058
Tonsilitis             938      Quinine, oral           7,851
Wound (unspec.)        791      Penicillin, oral        4,753
Myalgia                700      Amoxicillin             4,725
Amebiasis              629      Depoprovera             4,443
Laceration             618      Piriton                 3,766
Worms (unspec.)        544      Brufen                  3,323
July 9, 2012
MMRS data (2 years)
                      63,728 visits
                                                        T B
Malaria
       Diagnoses      # Visits
                        17,495
                                       Drugs
                                 Paracetamol
                                               NO       # Visits
                                                         24,944
URI
Septic wound
                        8,479
                        1,329
                                    n d
                                 Fansidar
                                 Quinine, injected
                                                         11,550
                                                         8,769
Gastroenteritis          964     a
                                 Penicillin, injected    8,058
Tonsilitis
Wound (unspec.)
                         HIV
                         938
                         791
                                 Quinine, oral
                                 Penicillin, oral
                                                         7,851
                                                         4,753
Myalgia
Amebiasis
                  N O    700
                         629
                                 Amoxicillin
                                 Depoprovera
                                                         4,725
                                                         4,443
Laceration               618     Piriton                 3,766
Worms (unspec.)          544     Brufen                  3,323
July 9, 2012
“We have lit a candle in the darkness of Africa”
William Tierney.

Kenyan Gov’t: “This record system must be in every
clinic in Kenya!”




July 9, 2012
July 9, 2012
July 9, 2012
A Year of Growth?




July 9, 2012
A Year of Growth… One Year Later




July 9, 2012
An innovative home-care programme using hand-
               held computers is also being piloted in the region.
               Monica Korir, who is living with HIV and is trained as
               an outreach worker, interviews Paul Ekorok, 52, at
               his home in Captarit village and records his
               answers.




                 WHO/Evelyn Hockstein
                 Outreach workers download completed forms
                 into Mosoriot clinic's data management system
                 daily. Automated alerts flag any alarming new
                 symptoms to the attention of the responsible
                 clinical officer, or when a patient has missed an
                 appointment so that outreach workers can find
                 out what is wrong.

July 9, 2012
Ezekiel Muruli transports charts daily from
               Mosoriot to Eldoret, about 25 kms away,
               where data from paper records are entered
               into a central electronic system. Direct
               electronic data transfer is not feasible because
               Mosoriot does not have high-speed Internet
               access.




               WHO/Evelyn Hockstein
               In Eldoret, Erika Muthoni Kigotho supervises 17
               data entry specialists who have received training
               on HIV care and in spotting potential errors in
               record-keeping. Electronically generated paper
               charts, along with reminders for appropriate tests
               and treatment, are returned to Mosoriot within 48
               hours of receipt.
July 9, 2012
Early PHRS




July 9, 2012
Salina- “Rattling bones syndrome”

                Starvation!




 July 9, 2012
Salina on anti-retroviral therapy




  July 9, 2012
HIV is a treatable disease, but
   treating millions requires
  information management.
July 9, 2012
AMPATH clinical and support programs capturing electronic data.
      ALL DISEASE STATES NOT JUST HIV/AIDS

Adult HIV/AIDS clinics            Oncology clinics        Social worker assessments
Pediatric HIV/AIDS clinics        Mental health clinics   Outreach – patient follow-up
Primary care – rural health       Diabetes clinics        Drug adherence assessments
clinics                           Tuberculosis clinics
Primary care – urban well-child   Clinic pharmacies       Nutrition assessments
clinics                           Clinical laboratories   Food supplement distribution
Antenatal and postnatal clinics                           Microfinance program
Mother-baby register




   AMPATH maintenance cost only $175/patient/year in 2007 and is now less than
                        $100/patient/year in 2009


  July 9, 2012
July 9, 2012
July 9, 2012
Birth of OpenMRS Collaboration-Regenstrief/PIH
                 MEDINFO San Francisco 2007


        Prof. Paul Biondich


A/Prof. Hamish Fraser


                                                    A/Prof. Burke Mamlin




  July 9, 2012
The plural of anecdote is not data.



“we must remove ourselves from the
‘unscientific, non data driven personal
recommendations’ for care”.

Dr. M. Smith CHCF AMIA 2009
0
                                                            2,000
                                                                    4,000
                                                                            6,000
                                                                                    8,000
                                                                                            10,000
                                                                                                     12,000
                                                                                                              14,000
                                                 2 1N
                                                  00 OV

                                                   DEC

                                                 2 1JA
                                                  00 N
                                                                                                                       16,000
                                                    F B
                                                     E

                                                   MR
                                                    A

                                                   APR

                                                    MY
                                                     A

                                                   JUN

                                                 2 2JU
                                                  00 L

                                                   AUG

                                                    SEP

                                                   OCT

                                                   NO
                                                    V

                                                   DEC

                                                 2 3JA
                                                  00 N

                                                    F B
                                                     E

                                                   MR
                                                    A

                                                   APR

                                                    MY
                                                     A

                                                   JUN

                                                 2 3JU
                                                  00 L

                                                   AUG

                                                    S P
                                                     E

                                                   OCT

                                                   NO
                                                    V

                                                   DEC

                                                 2 4JA
                                                  00 N

                                                    FEB

                                                   MR
                                                    A

                                                   APR

                                                    MY
                                                     A

                                                   JUN

                                                 2 4JU
                                                  00 L

                                                   AUG

                                                    S P
                                                     E

                                                   OCT

                                                   NO
                                                    V

                                                   DEC

                                                 2 5JA
                                                  00 N

                                                    F B
                                                     E

                                                   MR
                                                    A

                                                   APR

                                                    MY
                                                     A

                                                   JUN

                                                 2 5JU
                                                  00 L

                                                   AUG

                                                    SE P

                                                   OCT

                                                   NO
                                                    V

                                                   DEC

                                                 2 6JA
                                                  00 N

                                                1 0
                                                 / 2/2006

                                                1 0
                                                 / 3/2006

                                                1 0
                                                 / 4/2006

                                                1 0
                                                 / 5/2006

                                                1 0
                                                 / 6/2006

                                                1 0
                                                 / 7/2006

                                                1 0
                                                 / 8/2006

                                                1 0
                                                 / 9/2006

                                                1 1
                                                 / 0/2006

                                                1 1
                                                 / 1/2006

                                                1 1
                                                 / 2/2006

                                                1 0
                                                 / 1/2007

                                                1 0
                                                 / 2/2007

                                                1 0
                                                 / 3/2007

                                                1 0
                                                 / 4/2007

                                                1 0
                                                 / 5/2007

                                                1 0
                                                 / 6/2007

                                                1 0
                                                 / 7/2007

                                                1 0
                                                 / 8/2007

                                                1 0
                                                 / 9/2007

                                                1 1
                                                 / 0/2007

                                                1 1
                                                 / 1/2007

                                                1 1
                                                 / 2/2007

                                                1 0
                                                 / 1/2008

                                                1 0
                                                 / 2/2008

                                                1 0
                                                 / 3/2008

                                                1 0
                                                 / 4/2008

                                                1 0
                                                 / 5/2008

                                                1 0
                                                 / 6/2008

                                                1 0
                                                 / 7/2008

                                                1 0
                                                 / 8/2008

                                                1 0
                                                 / 9/2008

                                                1 1
                                                 / 0/2008

                                                1 1
                                                 / 1/2008

                                                1 1
                                                 / 2/2008

                                                1 0
                                                 / 1/2009

                                                1 0
                                                 / 2/2009

                                                1 0
                                                 / 3/2009

                                                1 0
                                                 / 4/2009

                                                1 0
                                                 / 5/2009

                                                1 0
                                                 / 6/2009

                                                1 0
                                                 / 7/2009

                                                1 0
                                                 / 8/2009

                                                1 0
                                                 / 9/2009

                                                1 1
                                                 / 0/2009

                                                1 1
                                                 / 1/2009

                                                1 1
                                                 / 2/2009

                                                1 0
                                                 / 1/2010

                                                1 0
                                                 / 2/2010

                                                1 0
                                                 / 3/2010

                                                1 0
                                                 / 4/2010

                                                1 0
                                                 / 5/2010

                                                1 0
                                                 / 6/2010
Patients Enrolled by Month: Nov ’01 – Jan ‘12




                                                1 0
                                                 / 7/2010

                                                1 0
                                                 / 8/2010

                                                1 0
                                                 / 9/2010

                                                1 1
                                                 / 0/2010

                                                1 1
                                                 / 1/2010

                                                1 1
                                                 / 2/2010

                                                1 0
                                                 / 1/2011

                                                1 0
                                                 / 2/2011

                                                1 0
                                                 / 3/2011

                                                1 0
                                                 / 4/2011

                                                1 0
                                                 / 5/2011

                                                1 0
                                                 / 6/2011

                                                1 0
                                                 / 7/2011

                                                1 0
                                                 / 8/2011

                                                1 0
                                                 / 9/2011

                                                1 1
                                                 / 0/2011

                                                1 1
                                                 / 1/2011

                                                1 1
                                                 / 2/2011

                                                1 0
                                                 / 1/2012
450,000
400,000
350,000
300,000
250,000
200,000
150,000
100,000
 50,000
     0
          Cumulative Patients Enrolled: Nov ’01 – Jan ‘12
70,000
65,000
60,000
55,000
50,000
45,000
40,000
35,000
30,000
25,000
20,000
15,000
10,000
 5,000
     0

         Patient Visits By Month: Nov ’01 – Jan ‘12
3,500,000

3,000,000

2,500,000

2,000,000

1,500,000

1,000,000

 500,000

       0
            Cumulative Patient Visits: Nov ’01 – Jan ‘12
3,000,000
2,800,000
2,600,000
2,400,000
2,200,000
2,000,000
1,800,000
1,600,000
1,400,000
1,200,000
1,000,000
  800,000
  600,000
  400,000
  200,000
        0

            AMRS Observations By Month: Mar ’06 – Jan ‘12
120,000,000
110,000,000
100,000,000
 90,000,000
 80,000,000
 70,000,000
 60,000,000
 50,000,000
 40,000,000
 30,000,000
 20,000,000
 10,000,000
          0

     Cumulative AMRS Observations By Month: Mar ’06 – Jan ‘12
To improve care, you have to measure it. Not possible using current
paper-based medical record systems. W.Tierney, Regenstrief Institute,
Indiana.


The foundation for quality patient care is information –
Comprehensive, Accurate, Up-to-the-minute clinical Information.
 Information management is care- E. Shortliffe, Stanford.

AMPATH PEER REVIEWED PUBLICATIONS SINCE 2000 ~160

ALL GRANTS AND CONTRACTS CURRENTLY FUNDED TO
DATE (N=74) $40,928,084US

   July 9, 2012
July 9, 2012
GN for
                       AIDS
MTCT-Plus                                Women’s &
                      Clinical
 Program                                 Children’s
                       Trials
                                          Health
                      Group
                                         Research




         NHLBI
      Global Health              IeDEA
        Initiative
OpenMRS




          A web-based EMR…
July 9, 2012
Patient
 summary
 and alerts




July 9, 2012
OpenMRS is…
     An Electronic Medical Record System
     A data model
     An API
     An HIV system              … and more.
     A TB system
     A Primary Care system
     A developer community
     An implementer community
July 9, 2012
Multiple uses
July 9, 2012
Kapenguria


              Kapsakwony

                          Kitale


                       Naitiri

           Webuye
Amukura                     Turbo

   Teso
                      Mosoriot       Burnt Forest



          Chulaimbo




50 km
400,000 patients




                              OpenMRS sites - fall 2008


July 9, 2012
600,000 patients




                                  OpenMRS sites – Spring 2010
July 9, 2012
July 9, 2012
OpenMRS in Peru March 2006-2007

   In total, e-Chasqui will serve a network of institutions
    providing medical care for over 3.1 million people.

   benefits
       the test always available during clinical decision making
       reducing duplicate tests performed
       reducing the time and money spent by staff checking
       the status of their samples.
   The cost to maintain this system is ~US$0.53 per sample
    or 1% of the National Peruvian TB program's 2006
    budget.
   Government support to distribute throughout Peru
A web-based laboratory information system to improve quality of care of
     tuberculosis patients in Peru: functional requirements, implementation and
     usage statistics. Blaya, J.A., et al., BMC Med Inform Decis Mak, 2007. 7:
July 9, 2012

     p.33
Features of OpenMRS Part 1

Security: User authentication
Privilege-based access: User roles and permission system
Patient repository: Creation and maintenance of patient data, including
                    demographics, clinical observations, encounter data,
                    orders, etc.
Multiple identifiers per patient: A single patient may have multiple
                                   medical record numbers
Data entry: With the FormEntry module, clients with InfoPath (included in
            Microsoft Office 2003 and later) can design and enter data
using
            flexible, electronic forms. With the HTML FormEntry module,

            forms can be created with customized HTML and run directly
            within the web application.
Data export: Data can be exported into a spreadsheet format for use in other

              tools (Excel, Access, etc.)
Standards support: HL7 engine for data import
Modular architecture: An OpenMRS Module can extend and add any type
 July 9, 2012                                                                  73
                        of functionality to the existing API and webapp.
Features of OpenMRS Part 1
Patient workflows: An embedded patient workflow service
                      allows patient to be put into programs
                      (studies, treatment programs, etc.) and tracked
                       through various states.
Cohort management: The cohort builder allows you to create
                         groups of patients for data exports,
                         reporting, etc.
Relationships: Relationships between any two people (patients,
                relatives, caretakers, etc.)
Patient merging: Merging duplicate patients
Localization / internationalization: Multiple language support and
                   the possibility to extend to other languages with
                   full UTF-8 support.
Support for complex data: Radiology images, sound files, etc. can
                               be stored as “complex” observations
Reporting tools: Flexible reporting tools
Person attributes: The attributes of a person can be extended to
                    meet local needs
July 9, 2012                                                            74
Lessons learned
 Clinical information systems are possible in
  even the most resource-constrained places
 Collaboration with established informatics
  programs is a must
 Primary goals → sustainability of the EMR,
  independence of the developing country
 Start small and build to serve local needs
 Anticipate challenges and prepare for them
 Maintain hope and enthusiasm
AMPATH 2012
     July 9,
             Medical Record System (AMRS): Collaborating Toward An EMR for Developing Countries Burke W.
Mamlin, M.D. and Paul G. Biondich, M.D., M.S. Regenstrief Institute, Inc. and Indiana University School of
Medicine, Indianapolis, IN
WHAT OTHERS SAY ABOUT THE INDIANA-KENYA PARTNERSHIP

  Nominated for the 2007 Nobel Peace Prize;
featured in The Wall Street Journal
  “The people working on this program are public health
heroes. They are doing things that many people thought
could never be done, and it is going to have a huge multiplier
effect.”
  --Dr. Tim Evans, former director of health equity for the Rockefeller Foundation

  “Much more accurately described as an Academic
MIRACLE in response to AIDS.”
  --Michael E. Ranneberger, U.S. Ambassador to Kenya

    “The most important and comprehensive HIV/AIDS effort
in all of Africa.”
    - James Morris, former executive director, United Nations World Food Program
 July 9, 2012
“Now HIV/AIDS programs are not only in place
but some of them, including the partnership
between the United States Agency for
International Development (USAID) and the
Academic Model Providing Access to
Healthcare (AMPATH) are openly speaking of
bringing the pandemic to its knees over the next
5 years through widespread screening and
effective treatment and prevention of HIV.”
Braitstein, P., et al., "Talkin' about a revolution": How electronic health records can
facilitate the scale-up of HIV care and treatment and catalyze primary care in
resource-constrained settings. J Acquir Immune Defic Syndr, 2009. 52 Suppl 1: p.
S54-7.
    July 9, 2012
July 9, 2012
July 9, 2012
July 9, 2012

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  • 1. Demonstrating the success of the e-health in resource poor (and developed) economies. Making it work. AIHI, UNSW 28th June 2012. DR TERRY J HANNAN MBBS;FRACP;FACHI;FACHI HEALTH INFORMATICIAN July 9, 2012
  • 2. Schema for presentation. •The journey to Kenya •POWH-OCIS to CCCIS-lessons learnt •AMIA November 1999 •Eldoret January 2000 •MMRS to AMPATH to OpenMRS •AMIA 2007 •Update on status of OpenMRS project •3 x short movies (~3-4mins each) • Questions July 9, 2012
  • 3. 1982-1984 Non clinical evaluation 1984-1986 physician involvement and evaluation 1984-1987 ABSTRACT[SUMMARISATION] modification and implementation (Continuing evolution) 1986-1987 Modification of program / dictionaries /screen displays / reports / units of measurement 1986 MANUAL data entry of laboratory data 1987 MANUAL data entry by NURSING STAFF of clinical / protocol / chemotherapy data 1988-1989 AUTOMATED LABORATORY DATA TRANSFER 1989 REPORT GENERATOR functions(FLOWS &PLOTS) • DRG diagnostic data electronically collated for administration [2nd art to CLINICAL DATA]. CLINICAL TRAILS module implemented 1990-1992 Protocol generated care plans tested and evaluated 10 years Hannan, T., International transfer of the Johns Hopkins Oncology Center clinical information system. MD Comput, 1994. 11(2): p. 92-9.
  • 4. “Bibles of Health Informatics” July 9, 2012
  • 5. ACKNOWLEDGEMENTS FOR AMPATH/OPENMRS INFORMATION W. Tierney Andrew S Kanter, Hamish SF Fraser, Christopher J. Seebregts, Paul Biondich, Burke Mamlin, Sylvester Kimaiyo, Charles Safran, Joaquin Blaya Dave Thomas Joe Mamlin Sylvester Kimaiyo OpenMRS consortium participants www.openmrs.org July 9, 2012
  • 6. Collaborators and Funders  Partners In Health  Regenstrief institute  Medical Research Council, South Africa  World Health Organization  US Centers for Disease Control  Brigham and Women hospital  Harvard Medical School  University of KwaZulu-Natal  Millennium Villages Project  International Development Research Centre, Ottawa  Rockefeller Foundation  Fogarty International Center, NIH  Boston Consulting Group July 9, 2012  Google Inc  PEPFAR
  • 7. Health care is an information business Information is not a necessary adjunct to care, it is care, and effective patient management requires effective management of patients’ clinical data. Donald M. Berwick President and CEO, Institute for Healthcare Improvement There is no health without management, and there is no management without information. Gonzalo Vecina Neto, head of the Brazilian National Health Regulatory Agency July 9, 2012
  • 8. TECHNOLOGY IS NOT THE PROBLEM [30 years EMR experience and research] Retrieval times-Fast (blink times) Data and information-Comprehensive Data storage- Long-term-lifelong Data applications-Introspective of total database Data storage- 200 million coded observations By products of the care process 3.25 million narrative reports RESEARCH-accuracy / $ 15 million prescriptions EPIDEMIOLOGY 212,000 ECG tracings ADMIN SUPPORT More than 1.3 million patients “Record once use many times” Access- 1300 medical nurses 1000 physicians 220 medical students Across health care institutions (16) Data access more than 628,000 / month C.J. McDonald, et al, The Regenstrief Medical Record System: A quarter century experience. Int J July 9, 2012Inform 54 (1999), 225‑ 253.) Med
  • 9. CCDSS TOOLS IN CLINICAL MEDICINE-REQUIREMENTS 1.ALERTING 2. REMINDING 3. INTERPRETATION 4.ASSISTING 5.CRITIQUING 6.DIAGNOSING 7.MANAGING 8. KNOWLEDGE ACCESS /COUPLING [“Medicine in Denial.” L.Weed,L.Weed.2011] Pryor TA, Clayton PD. Decision support systems for clinical medicine. July 9, 2012 9 Tutorial 11.15th SCAMC.Nov. 17. 1991.
  • 10. SUMMARISATION 1. Communication of health care is maintained using a Summary patient format in the ambulatory setting. Fries. J. Alternatives in medical record formats. Medical care. 1984;12:871-881 6. Summary patient record - information accessible four times faster - contains up to four times more information - Tabulated results allow physicians to better predict future trends in results Whiting-O’Keefe QW,Simborg DW,Epstein WV,Medical Care 1980;18:842-852
  • 11. USING PHYSICIAN INPATIENT ORDER WRITING ON MICROCOMPUTER WORKSTATIONS. REDUCTION IN HEALTH CARE RESOURCE UTILISATION $3 million per year savings-(USA $65b) 0 -2 -4 TOTAL BED -6 TEST -8 DRUG -10.5 -10 OTHER -12.7 -11.9 -12.5 LOS -12 -14 -15.3 -15.2 -16 Physician inpatient order writing on microcomputer workstations-effects on resource July 9, 2012 utilisation. WM Tierney and others. JAMA 1993;269:379-383
  • 12. Intermountain Health Care, Salt Lake City, Utah, USA STUDY DESIGN • Computer-based EMR system • Patients discharged January 1, 1988 to December 31, 1994 • 162,196 patients •Goal: to determine clinical and financial outcomes of the • antibiotic practice guidelines implemented through the • computer system Pestotnik, S. L. Classen, D. C. Evans, R. S. Burke, J. P. Implementing antibiotic practice guidelines through computer-assisted decision support: clinical and financial outcomes. Ann Intern Med 1996 May 15 July 9, 2012
  • 13. Intermountain Health Care, Salt Lake City, Utah, USA Overall antibiotic use: decreased 22.8% Mortality rates: decreased from 3.65% to 2.65% Antibiotic-associated ADE: decreased 30% Antibiotic resistance: remained STABLE Appropriately timed preoperative a/biotics: 40% to 99.1% Antibiotic costs per treated patient: decreased $122.66 to $51.90 Acquisition costs for antibiotics: fell 24.8% to 12.9% ($987,547) to ($612,500) Our Case-Mix index which measures patient acuity levels INCREASED during this period, meaning we were treating sicker and sicker patients while better utilizing the delivery of antibiotics. Pestotnik, S. L. Classen, D. C. Evans, R. S. Burke, J. P. Implementing antibiotic practice guidelines through computer-assisted decision support: clinical and financial outcomes.Ann Intern Med 1996 May 15 July 9, 2012
  • 14. AMIA – November 1999 An invitation from Prof. Bill Tierney To KENYA Jan July 9, 2012
  • 15. AIDS in Africa The Global AIDS Pandemic at a Glance-2000  Leading infectious cause of adult death in the world  Leading cause of death in adults aged 15–59  First case of AIDS recognized in 1981  40 million persons now living with HIV/AIDS, 50% women  >70% of HIV-infected persons living in Africa  14,000 new infections daily  Sexual transmission responsible for more than 85% of infections  6 million in need of immediate treatment and fewer than 8% receiving it SOURCES: Quinn and Chaisson, 2004; WHO, 2003a,b.
  • 16. AIDS in Africa In Kenya…  2.5 million persons infected (15% of adults)  4th behind South Africa, India, and Nigeria  1 million AIDS orphans (of 31 million citizens)  life expectancy has dropped 18 years in the past 5 years, from 65 → 47 years
  • 17. One solution: Academic collaboration  14-year collaboration between IU and MU  1st 11 years → focus=educational exchange  In 2001 Joe Mamlin returned  found >50% of the beds in Moi Hospital were filled with young people dying of AIDS  no ARVs, few antibiotics for opportunistic infections  despair, depression, resignation  Then…Daniel
  • 18.
  • 28. A response to HIV July 9, 2012
  • 29. 30-40 million cases HIV/AIDs Existing systems overburdened July 9, 2012
  • 30. Assignment: knowing there is a 14% prevalence of HIV/AIDS. What are the health information management needs here? PreMMRS July 9, 2012
  • 35. Assignment: knowing there is a 14% prevalence of HIV/AIDS. What are the health information management needs here? PreMMRS July 9, 2012
  • 36. MMRS data (2 years) 63,728 visits Diagnoses # Visits Drugs # Visits Malaria 17,495 Paracetamol 24,944 URI 8,479 Fansidar 11,550 Septic wound 1,329 Quinine, injected 8,769 Gastroenteritis 964 Penicillin, injected 8,058 Tonsilitis 938 Quinine, oral 7,851 Wound (unspec.) 791 Penicillin, oral 4,753 Myalgia 700 Amoxicillin 4,725 Amebiasis 629 Depoprovera 4,443 Laceration 618 Piriton 3,766 Worms (unspec.) 544 Brufen 3,323 July 9, 2012
  • 37. MMRS data (2 years) 63,728 visits T B Malaria Diagnoses # Visits 17,495 Drugs Paracetamol NO # Visits 24,944 URI Septic wound 8,479 1,329 n d Fansidar Quinine, injected 11,550 8,769 Gastroenteritis 964 a Penicillin, injected 8,058 Tonsilitis Wound (unspec.) HIV 938 791 Quinine, oral Penicillin, oral 7,851 4,753 Myalgia Amebiasis N O 700 629 Amoxicillin Depoprovera 4,725 4,443 Laceration 618 Piriton 3,766 Worms (unspec.) 544 Brufen 3,323 July 9, 2012
  • 38. “We have lit a candle in the darkness of Africa” William Tierney. Kenyan Gov’t: “This record system must be in every clinic in Kenya!” July 9, 2012
  • 41. A Year of Growth? July 9, 2012
  • 42. A Year of Growth… One Year Later July 9, 2012
  • 43. An innovative home-care programme using hand- held computers is also being piloted in the region. Monica Korir, who is living with HIV and is trained as an outreach worker, interviews Paul Ekorok, 52, at his home in Captarit village and records his answers. WHO/Evelyn Hockstein Outreach workers download completed forms into Mosoriot clinic's data management system daily. Automated alerts flag any alarming new symptoms to the attention of the responsible clinical officer, or when a patient has missed an appointment so that outreach workers can find out what is wrong. July 9, 2012
  • 44. Ezekiel Muruli transports charts daily from Mosoriot to Eldoret, about 25 kms away, where data from paper records are entered into a central electronic system. Direct electronic data transfer is not feasible because Mosoriot does not have high-speed Internet access. WHO/Evelyn Hockstein In Eldoret, Erika Muthoni Kigotho supervises 17 data entry specialists who have received training on HIV care and in spotting potential errors in record-keeping. Electronically generated paper charts, along with reminders for appropriate tests and treatment, are returned to Mosoriot within 48 hours of receipt. July 9, 2012
  • 46. Salina- “Rattling bones syndrome” Starvation! July 9, 2012
  • 47. Salina on anti-retroviral therapy July 9, 2012
  • 48. HIV is a treatable disease, but treating millions requires information management. July 9, 2012
  • 49. AMPATH clinical and support programs capturing electronic data. ALL DISEASE STATES NOT JUST HIV/AIDS Adult HIV/AIDS clinics Oncology clinics Social worker assessments Pediatric HIV/AIDS clinics Mental health clinics Outreach – patient follow-up Primary care – rural health Diabetes clinics Drug adherence assessments clinics Tuberculosis clinics Primary care – urban well-child Clinic pharmacies Nutrition assessments clinics Clinical laboratories Food supplement distribution Antenatal and postnatal clinics Microfinance program Mother-baby register AMPATH maintenance cost only $175/patient/year in 2007 and is now less than $100/patient/year in 2009 July 9, 2012
  • 52. Birth of OpenMRS Collaboration-Regenstrief/PIH MEDINFO San Francisco 2007 Prof. Paul Biondich A/Prof. Hamish Fraser A/Prof. Burke Mamlin July 9, 2012
  • 53. The plural of anecdote is not data. “we must remove ourselves from the ‘unscientific, non data driven personal recommendations’ for care”. Dr. M. Smith CHCF AMIA 2009
  • 54. 0 2,000 4,000 6,000 8,000 10,000 12,000 14,000 2 1N 00 OV DEC 2 1JA 00 N 16,000 F B E MR A APR MY A JUN 2 2JU 00 L AUG SEP OCT NO V DEC 2 3JA 00 N F B E MR A APR MY A JUN 2 3JU 00 L AUG S P E OCT NO V DEC 2 4JA 00 N FEB MR A APR MY A JUN 2 4JU 00 L AUG S P E OCT NO V DEC 2 5JA 00 N F B E MR A APR MY A JUN 2 5JU 00 L AUG SE P OCT NO V DEC 2 6JA 00 N 1 0 / 2/2006 1 0 / 3/2006 1 0 / 4/2006 1 0 / 5/2006 1 0 / 6/2006 1 0 / 7/2006 1 0 / 8/2006 1 0 / 9/2006 1 1 / 0/2006 1 1 / 1/2006 1 1 / 2/2006 1 0 / 1/2007 1 0 / 2/2007 1 0 / 3/2007 1 0 / 4/2007 1 0 / 5/2007 1 0 / 6/2007 1 0 / 7/2007 1 0 / 8/2007 1 0 / 9/2007 1 1 / 0/2007 1 1 / 1/2007 1 1 / 2/2007 1 0 / 1/2008 1 0 / 2/2008 1 0 / 3/2008 1 0 / 4/2008 1 0 / 5/2008 1 0 / 6/2008 1 0 / 7/2008 1 0 / 8/2008 1 0 / 9/2008 1 1 / 0/2008 1 1 / 1/2008 1 1 / 2/2008 1 0 / 1/2009 1 0 / 2/2009 1 0 / 3/2009 1 0 / 4/2009 1 0 / 5/2009 1 0 / 6/2009 1 0 / 7/2009 1 0 / 8/2009 1 0 / 9/2009 1 1 / 0/2009 1 1 / 1/2009 1 1 / 2/2009 1 0 / 1/2010 1 0 / 2/2010 1 0 / 3/2010 1 0 / 4/2010 1 0 / 5/2010 1 0 / 6/2010 Patients Enrolled by Month: Nov ’01 – Jan ‘12 1 0 / 7/2010 1 0 / 8/2010 1 0 / 9/2010 1 1 / 0/2010 1 1 / 1/2010 1 1 / 2/2010 1 0 / 1/2011 1 0 / 2/2011 1 0 / 3/2011 1 0 / 4/2011 1 0 / 5/2011 1 0 / 6/2011 1 0 / 7/2011 1 0 / 8/2011 1 0 / 9/2011 1 1 / 0/2011 1 1 / 1/2011 1 1 / 2/2011 1 0 / 1/2012
  • 55. 450,000 400,000 350,000 300,000 250,000 200,000 150,000 100,000 50,000 0 Cumulative Patients Enrolled: Nov ’01 – Jan ‘12
  • 57. 3,500,000 3,000,000 2,500,000 2,000,000 1,500,000 1,000,000 500,000 0 Cumulative Patient Visits: Nov ’01 – Jan ‘12
  • 58. 3,000,000 2,800,000 2,600,000 2,400,000 2,200,000 2,000,000 1,800,000 1,600,000 1,400,000 1,200,000 1,000,000 800,000 600,000 400,000 200,000 0 AMRS Observations By Month: Mar ’06 – Jan ‘12
  • 59. 120,000,000 110,000,000 100,000,000 90,000,000 80,000,000 70,000,000 60,000,000 50,000,000 40,000,000 30,000,000 20,000,000 10,000,000 0 Cumulative AMRS Observations By Month: Mar ’06 – Jan ‘12
  • 60. To improve care, you have to measure it. Not possible using current paper-based medical record systems. W.Tierney, Regenstrief Institute, Indiana. The foundation for quality patient care is information – Comprehensive, Accurate, Up-to-the-minute clinical Information. Information management is care- E. Shortliffe, Stanford. AMPATH PEER REVIEWED PUBLICATIONS SINCE 2000 ~160 ALL GRANTS AND CONTRACTS CURRENTLY FUNDED TO DATE (N=74) $40,928,084US July 9, 2012
  • 62. GN for AIDS MTCT-Plus Women’s & Clinical Program Children’s Trials Health Group Research NHLBI Global Health IeDEA Initiative
  • 63. OpenMRS A web-based EMR… July 9, 2012
  • 64. Patient summary and alerts July 9, 2012
  • 65. OpenMRS is…  An Electronic Medical Record System  A data model  An API  An HIV system … and more.  A TB system  A Primary Care system  A developer community  An implementer community July 9, 2012
  • 67.
  • 68. Kapenguria Kapsakwony Kitale Naitiri Webuye Amukura Turbo Teso Mosoriot Burnt Forest Chulaimbo 50 km
  • 69. 400,000 patients OpenMRS sites - fall 2008 July 9, 2012
  • 70. 600,000 patients OpenMRS sites – Spring 2010 July 9, 2012
  • 72. OpenMRS in Peru March 2006-2007  In total, e-Chasqui will serve a network of institutions providing medical care for over 3.1 million people.  benefits  the test always available during clinical decision making  reducing duplicate tests performed  reducing the time and money spent by staff checking the status of their samples.  The cost to maintain this system is ~US$0.53 per sample or 1% of the National Peruvian TB program's 2006 budget.  Government support to distribute throughout Peru A web-based laboratory information system to improve quality of care of tuberculosis patients in Peru: functional requirements, implementation and usage statistics. Blaya, J.A., et al., BMC Med Inform Decis Mak, 2007. 7: July 9, 2012 p.33
  • 73. Features of OpenMRS Part 1 Security: User authentication Privilege-based access: User roles and permission system Patient repository: Creation and maintenance of patient data, including demographics, clinical observations, encounter data, orders, etc. Multiple identifiers per patient: A single patient may have multiple medical record numbers Data entry: With the FormEntry module, clients with InfoPath (included in Microsoft Office 2003 and later) can design and enter data using flexible, electronic forms. With the HTML FormEntry module, forms can be created with customized HTML and run directly within the web application. Data export: Data can be exported into a spreadsheet format for use in other tools (Excel, Access, etc.) Standards support: HL7 engine for data import Modular architecture: An OpenMRS Module can extend and add any type July 9, 2012 73 of functionality to the existing API and webapp.
  • 74. Features of OpenMRS Part 1 Patient workflows: An embedded patient workflow service allows patient to be put into programs (studies, treatment programs, etc.) and tracked through various states. Cohort management: The cohort builder allows you to create groups of patients for data exports, reporting, etc. Relationships: Relationships between any two people (patients, relatives, caretakers, etc.) Patient merging: Merging duplicate patients Localization / internationalization: Multiple language support and the possibility to extend to other languages with full UTF-8 support. Support for complex data: Radiology images, sound files, etc. can be stored as “complex” observations Reporting tools: Flexible reporting tools Person attributes: The attributes of a person can be extended to meet local needs July 9, 2012 74
  • 75. Lessons learned  Clinical information systems are possible in even the most resource-constrained places  Collaboration with established informatics programs is a must  Primary goals → sustainability of the EMR, independence of the developing country  Start small and build to serve local needs  Anticipate challenges and prepare for them  Maintain hope and enthusiasm
  • 76. AMPATH 2012 July 9, Medical Record System (AMRS): Collaborating Toward An EMR for Developing Countries Burke W. Mamlin, M.D. and Paul G. Biondich, M.D., M.S. Regenstrief Institute, Inc. and Indiana University School of Medicine, Indianapolis, IN
  • 77. WHAT OTHERS SAY ABOUT THE INDIANA-KENYA PARTNERSHIP Nominated for the 2007 Nobel Peace Prize; featured in The Wall Street Journal “The people working on this program are public health heroes. They are doing things that many people thought could never be done, and it is going to have a huge multiplier effect.” --Dr. Tim Evans, former director of health equity for the Rockefeller Foundation “Much more accurately described as an Academic MIRACLE in response to AIDS.” --Michael E. Ranneberger, U.S. Ambassador to Kenya “The most important and comprehensive HIV/AIDS effort in all of Africa.” - James Morris, former executive director, United Nations World Food Program July 9, 2012
  • 78. “Now HIV/AIDS programs are not only in place but some of them, including the partnership between the United States Agency for International Development (USAID) and the Academic Model Providing Access to Healthcare (AMPATH) are openly speaking of bringing the pandemic to its knees over the next 5 years through widespread screening and effective treatment and prevention of HIV.” Braitstein, P., et al., "Talkin' about a revolution": How electronic health records can facilitate the scale-up of HIV care and treatment and catalyze primary care in resource-constrained settings. J Acquir Immune Defic Syndr, 2009. 52 Suppl 1: p. S54-7. July 9, 2012

Notas do Editor

  1. In a 1999 review of the major EMR systems in the world that are the models for future EMRs, these were the data/information and performance values for the Regenstrief system in Indian. They emphasize that technology is not the problem for EMRs and information retrieval must function at these levels of recall time.
  2. Core decision support tools for all E.H.Rs regardless of the complexity of the decision support required.
  3. Tierney’s study into the use of of a longitudinal CBPR to reduce resource utilization. (Refer to the Johns and Blum study on costs, resource utilization, and clinical decision making)
  4. Slides 114-122 display the results of the above study. It is important to look at this study from many aspects. The size of the study (not possible with a paper-based record-time, costs, data accuracy), the alteration of process, the measurements of outcome, the definition of patient cohorts. This is the only institution that has shown the stabilization of antibiotic resistance – a major problem with antibiotic usage. The study also demonstrates that the rewards from CBPR systems are the result of an INCREMENTAL process with verification of benefits and or failures along the way.
  5. At the time, there was a lot of work to be done.
  6. OpenMRS was created in response to HIV/AIDS. Indiana University School of Medicine had been collaborating with Moi University Faculty of Health Sciences (Eldoret, Kenya) for over a decade when their focus, by necessity, turned toward the HIV pandemic.
  7. And existing systems were overburdened and getting pushed beyond their capacity.
  8. He knew the enterprise would be information-intensive, so he pushed me to create the first ambulatory electronic medical record system in sub-Saharan Africa. Because the HIV protocols had been created in the U.S. and Europe, they had little relevance to resource-poor countries. So Joe also pushed me to create and lead a multidisciplinary HIV research program.
  9. But patients like Musa, who you’ve already met, showed that HIV was a treatable disease. The problem wasn’t how to treat HIV, but how to scale that up to 100,000 and millions of patients. That kind of scale could only be obtained through effective information management.
  10. We’ve built a web-based EMR atop the OpenMRS platform to serve our community’s needs, but that doesn’t prevent other things to be built atop the API.
  11. So, OpenMRS is an EMR, a data model (some folks have chosen to simply use our data model and build their own system), an API, an HIV system, a TB system, a Primary Care system, a strong developer community, and a vibrant implementer community. We’re all in this together.
  12. And we’ve already seen evidence of the flexibility of a platform approach. Folks in Maryland have wired a different primary care system atop the OpenMRS API, so docs work within another system, but all data are stored within an instance of OpenMRS. Shaun Grannis developed a disease surveillance system using OpenMRS. In Skid Row of Los Angeles, OpenMRS is being used to manage data for homeless patients with TB. And Paul’s pediatric decision support system has been rebuilt and now runs within OpenMRS.
  13. Up to 1991there had been accumulating evidence that clinical decision support tools were of benefit to health care delivery. The IOM designed an 18 month study to evaluate the CBPR in health. The title of its report defines this critical focus point in EMR developments and provided the focus for all new and existing EMR developments.