SlideShare uma empresa Scribd logo
1 de 20
Using VistA for Research Joseph Glass, MSW VA Ann Arbor Healthcare System Ann Arbor, MI The contents of this presentation are mine personally and do not reflect any position of the Government or the Department of Veterans Affairs .
Acknowledgements ,[object Object],[object Object],[object Object],[object Object],[object Object]
Presentation overview ,[object Object],[object Object],[object Object],[object Object]
VistA’s research potential ,[object Object],[object Object],[object Object]
Utilizing data already in VistA ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
VistA as a data collection tool ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
continued: VistA as a data collection tool ,[object Object],[object Object],[object Object],[object Object]
VistA as a data storage tool ,[object Object],[object Object]
Summary: VistA’s potential for research ,[object Object]
Harvesting VistA data ,[object Object],[object Object],[object Object]
Harvesting Methods ,[object Object],[object Object],[object Object],[object Object]
Mumps Data Extractor ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
http://mde.srs-inc.com/solution.html
Cache Shadowing ,[object Object],[object Object],[object Object],[object Object],[object Object]
Others ,[object Object],[object Object],[object Object]
Comparison: Extraction Utilities Recommendation: Use Cache Shadowing ,[object Object],[object Object],[object Object],[object Object],[object Object],Fileman ,[object Object],[object Object],[object Object],[object Object],[object Object],Cache Shadowing ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Mumps Data Extractor Cons Pros
Extracting data: Case Study VA Ann Arbor VistA MS SQL Server Mumps Data Extractor (Every 2 weeks) Researcher with SPSS ODBC
Future Direction: VA Ann Arbor VistA Cache Shadow Server Researcher with SPSS ODBC Cache Server Pages Email alert to clinician regarding a significant clinical event
Potential discussion items ,[object Object],[object Object],[object Object],[object Object],[object Object]
Resources ,[object Object],[object Object],[object Object],[object Object],[object Object]

Mais conteúdo relacionado

Mais procurados

Health care information system
Health care information systemHealth care information system
Health care information system
Mohamed Aamer
 
Health Management Information System in Ethiopia: Who Owns the HMIS
Health Management Information System in Ethiopia: Who Owns the HMISHealth Management Information System in Ethiopia: Who Owns the HMIS
Health Management Information System in Ethiopia: Who Owns the HMIS
MEASURE Evaluation
 
BENEFITS AND CHALLENGES TO THE ADOPTION OF ELECTRONIC MEDICAL RECORDS
BENEFITS AND CHALLENGES TO THE ADOPTION OF ELECTRONIC MEDICAL RECORDSBENEFITS AND CHALLENGES TO THE ADOPTION OF ELECTRONIC MEDICAL RECORDS
BENEFITS AND CHALLENGES TO THE ADOPTION OF ELECTRONIC MEDICAL RECORDS
UsmanYakubuMaaruf
 
Using Health Information Systems to Improve Health Services In Fiji
Using Health Information Systems to Improve Health Services In FijiUsing Health Information Systems to Improve Health Services In Fiji
Using Health Information Systems to Improve Health Services In Fiji
Alvin Sharma
 
Health Information Systems
Health Information SystemsHealth Information Systems
Health Information Systems
Nikhil Agarwal
 

Mais procurados (20)

Health care information system
Health care information systemHealth care information system
Health care information system
 
Medical database
Medical databaseMedical database
Medical database
 
MeHI Regional Health IT Meetings - Worcester, MA - Nov, 2013
MeHI Regional Health IT Meetings - Worcester, MA - Nov, 2013MeHI Regional Health IT Meetings - Worcester, MA - Nov, 2013
MeHI Regional Health IT Meetings - Worcester, MA - Nov, 2013
 
Hospital Management
Hospital ManagementHospital Management
Hospital Management
 
Health Management Information System in Ethiopia: Who Owns the HMIS
Health Management Information System in Ethiopia: Who Owns the HMISHealth Management Information System in Ethiopia: Who Owns the HMIS
Health Management Information System in Ethiopia: Who Owns the HMIS
 
EHR Implementation Plan Presentation
EHR Implementation Plan PresentationEHR Implementation Plan Presentation
EHR Implementation Plan Presentation
 
Block anm hmis_guideline_ppt_bankura d dutta
Block anm hmis_guideline_ppt_bankura d duttaBlock anm hmis_guideline_ppt_bankura d dutta
Block anm hmis_guideline_ppt_bankura d dutta
 
Clinical Information System
Clinical Information SystemClinical Information System
Clinical Information System
 
BENEFITS AND CHALLENGES TO THE ADOPTION OF ELECTRONIC MEDICAL RECORDS
BENEFITS AND CHALLENGES TO THE ADOPTION OF ELECTRONIC MEDICAL RECORDSBENEFITS AND CHALLENGES TO THE ADOPTION OF ELECTRONIC MEDICAL RECORDS
BENEFITS AND CHALLENGES TO THE ADOPTION OF ELECTRONIC MEDICAL RECORDS
 
Using Health Information Systems to Improve Health Services In Fiji
Using Health Information Systems to Improve Health Services In FijiUsing Health Information Systems to Improve Health Services In Fiji
Using Health Information Systems to Improve Health Services In Fiji
 
Scanning, Abstracting, & Adding Medical Records to an EHR
Scanning, Abstracting, & Adding Medical Records to an EHRScanning, Abstracting, & Adding Medical Records to an EHR
Scanning, Abstracting, & Adding Medical Records to an EHR
 
Ehr system implementation and ongoing maintenance
Ehr system implementation and ongoing maintenanceEhr system implementation and ongoing maintenance
Ehr system implementation and ongoing maintenance
 
Improving EMRs 2009
Improving EMRs 2009Improving EMRs 2009
Improving EMRs 2009
 
HMIS
HMISHMIS
HMIS
 
Pros and cons of ehr
Pros and cons of ehrPros and cons of ehr
Pros and cons of ehr
 
Health informationsystems chapter6
Health informationsystems chapter6Health informationsystems chapter6
Health informationsystems chapter6
 
Health Information Systems
Health Information SystemsHealth Information Systems
Health Information Systems
 
Hospital Management System (2nd Task)
Hospital Management System (2nd Task)Hospital Management System (2nd Task)
Hospital Management System (2nd Task)
 
IBM Smarter Healthcare presentation - Angus Campbell - Smarter planet comes t...
IBM Smarter Healthcare presentation - Angus Campbell - Smarter planet comes t...IBM Smarter Healthcare presentation - Angus Campbell - Smarter planet comes t...
IBM Smarter Healthcare presentation - Angus Campbell - Smarter planet comes t...
 
Electronic health records
Electronic health recordsElectronic health records
Electronic health records
 

Destaque (6)

American Recovery and Reinvestment Act of 2009 HIT
American Recovery and Reinvestment Act of 2009 HITAmerican Recovery and Reinvestment Act of 2009 HIT
American Recovery and Reinvestment Act of 2009 HIT
 
Iehr ciif sdk-slides-draft-h
Iehr ciif sdk-slides-draft-hIehr ciif sdk-slides-draft-h
Iehr ciif sdk-slides-draft-h
 
Hadoop ecosystem for health/life sciences
Hadoop ecosystem for health/life sciencesHadoop ecosystem for health/life sciences
Hadoop ecosystem for health/life sciences
 
A Quasi Relational Query Language for Persistent Standardized EHRs: Using NoS...
A Quasi Relational Query Language for Persistent Standardized EHRs: Using NoS...A Quasi Relational Query Language for Persistent Standardized EHRs: Using NoS...
A Quasi Relational Query Language for Persistent Standardized EHRs: Using NoS...
 
XDS - Cross-Enterprise Document Sharing
XDS - Cross-Enterprise Document SharingXDS - Cross-Enterprise Document Sharing
XDS - Cross-Enterprise Document Sharing
 
Hl7 Standards, Reference Information Model & Clinical Document Architecture
Hl7 Standards, Reference Information Model & Clinical Document ArchitectureHl7 Standards, Reference Information Model & Clinical Document Architecture
Hl7 Standards, Reference Information Model & Clinical Document Architecture
 

Semelhante a Vista For Research

Building an Intelligent Biobank to Power Research Decision-Making
Building an Intelligent Biobank to Power Research Decision-MakingBuilding an Intelligent Biobank to Power Research Decision-Making
Building an Intelligent Biobank to Power Research Decision-Making
Denodo
 
Application of Computers in Pharmacy.pptx
Application of Computers in Pharmacy.pptxApplication of Computers in Pharmacy.pptx
Application of Computers in Pharmacy.pptx
Lovely Professional University
 
Liberty pediatrics adhd_patient_database
Liberty pediatrics adhd_patient_databaseLiberty pediatrics adhd_patient_database
Liberty pediatrics adhd_patient_database
mayuliang
 

Semelhante a Vista For Research (20)

A Federated In-Memory Database System for Life Sciences
A Federated In-Memory Database System for Life SciencesA Federated In-Memory Database System for Life Sciences
A Federated In-Memory Database System for Life Sciences
 
Research Data Management and Sharing for the Social Sciences and Humanities
Research Data Management and Sharing for the Social Sciences and HumanitiesResearch Data Management and Sharing for the Social Sciences and Humanities
Research Data Management and Sharing for the Social Sciences and Humanities
 
Introduction to Open Source VistA
Introduction to Open Source VistAIntroduction to Open Source VistA
Introduction to Open Source VistA
 
The Future of Personalized Medicine
The Future of Personalized MedicineThe Future of Personalized Medicine
The Future of Personalized Medicine
 
Data Discovery & Lineage in Enterprise Hadoop
Data Discovery & Lineage in Enterprise HadoopData Discovery & Lineage in Enterprise Hadoop
Data Discovery & Lineage in Enterprise Hadoop
 
Oracle Clinical Overview_Katalyst HLS
Oracle Clinical Overview_Katalyst HLSOracle Clinical Overview_Katalyst HLS
Oracle Clinical Overview_Katalyst HLS
 
FAIR as a Working Principle for Cancer Genomic Data
FAIR as a Working Principle for Cancer Genomic DataFAIR as a Working Principle for Cancer Genomic Data
FAIR as a Working Principle for Cancer Genomic Data
 
Building an Intelligent Biobank to Power Research Decision-Making
Building an Intelligent Biobank to Power Research Decision-MakingBuilding an Intelligent Biobank to Power Research Decision-Making
Building an Intelligent Biobank to Power Research Decision-Making
 
Application of Computers in Pharmacy.pptx
Application of Computers in Pharmacy.pptxApplication of Computers in Pharmacy.pptx
Application of Computers in Pharmacy.pptx
 
CREST Overview
CREST OverviewCREST Overview
CREST Overview
 
(HLS305) Transforming Cancer Treatment: Integrating Data to Deliver on the Pr...
(HLS305) Transforming Cancer Treatment: Integrating Data to Deliver on the Pr...(HLS305) Transforming Cancer Treatment: Integrating Data to Deliver on the Pr...
(HLS305) Transforming Cancer Treatment: Integrating Data to Deliver on the Pr...
 
Liberty pediatrics adhd_patient_database
Liberty pediatrics adhd_patient_databaseLiberty pediatrics adhd_patient_database
Liberty pediatrics adhd_patient_database
 
Labmatrix
LabmatrixLabmatrix
Labmatrix
 
Presentation from Code Camp 2017
Presentation from Code Camp 2017Presentation from Code Camp 2017
Presentation from Code Camp 2017
 
Mining Minds: an innovative framework for personalized health and wellness su...
Mining Minds: an innovative framework for personalized health and wellness su...Mining Minds: an innovative framework for personalized health and wellness su...
Mining Minds: an innovative framework for personalized health and wellness su...
 
In-Memory Data Management for Systems Medicine
In-Memory Data Management for Systems MedicineIn-Memory Data Management for Systems Medicine
In-Memory Data Management for Systems Medicine
 
Starting the Hadoop Journey at a Global Leader in Cancer Research
Starting the Hadoop Journey at a Global Leader in Cancer ResearchStarting the Hadoop Journey at a Global Leader in Cancer Research
Starting the Hadoop Journey at a Global Leader in Cancer Research
 
Starting the Hadoop Journey at a Global Leader in Cancer Research
Starting the Hadoop Journey at a Global Leader in Cancer ResearchStarting the Hadoop Journey at a Global Leader in Cancer Research
Starting the Hadoop Journey at a Global Leader in Cancer Research
 
In Search of a Missing Link in the Data Deluge vs. Data Scarcity Debate
In Search of a Missing Link in the Data Deluge vs. Data Scarcity DebateIn Search of a Missing Link in the Data Deluge vs. Data Scarcity Debate
In Search of a Missing Link in the Data Deluge vs. Data Scarcity Debate
 
Institutional Identifiers internally and throughout the supply chain
Institutional Identifiers internally and throughout the supply chainInstitutional Identifiers internally and throughout the supply chain
Institutional Identifiers internally and throughout the supply chain
 

Mais de ckuyehar

FQHC Orientation
FQHC OrientationFQHC Orientation
FQHC Orientation
ckuyehar
 
Chart Book 2006
Chart Book 2006Chart Book 2006
Chart Book 2006
ckuyehar
 
WorldVistA 061607
WorldVistA 061607WorldVistA 061607
WorldVistA 061607
ckuyehar
 
WorldVistA by K.S. Bhaskar
WorldVistA by K.S. BhaskarWorldVistA by K.S. Bhaskar
WorldVistA by K.S. Bhaskar
ckuyehar
 
FDA Presentation 07/17/07
FDA Presentation 07/17/07FDA Presentation 07/17/07
FDA Presentation 07/17/07
ckuyehar
 
VistA GT.M & Linux Security 062506
VistA GT.M & Linux Security 062506VistA GT.M & Linux Security 062506
VistA GT.M & Linux Security 062506
ckuyehar
 
Landis - System Administration
Landis - System AdministrationLandis - System Administration
Landis - System Administration
ckuyehar
 
Landis - Mumps
Landis - MumpsLandis - Mumps
Landis - Mumps
ckuyehar
 
FileMan Training Part 3
FileMan Training Part 3FileMan Training Part 3
FileMan Training Part 3
ckuyehar
 
FileMan Training Part 1
FileMan Training Part 1FileMan Training Part 1
FileMan Training Part 1
ckuyehar
 
FileMan Training Part 2
FileMan Training Part 2FileMan Training Part 2
FileMan Training Part 2
ckuyehar
 
WorldVistA Business Plan Overview
WorldVistA Business Plan OverviewWorldVistA Business Plan Overview
WorldVistA Business Plan Overview
ckuyehar
 
WorldVistA Business Plan
WorldVistA Business PlanWorldVistA Business Plan
WorldVistA Business Plan
ckuyehar
 
VistA Enhancements
VistA EnhancementsVistA Enhancements
VistA Enhancements
ckuyehar
 

Mais de ckuyehar (16)

The Rise and Fall and Rise of Standard MUMPS
The Rise and Fall and Rise of Standard MUMPSThe Rise and Fall and Rise of Standard MUMPS
The Rise and Fall and Rise of Standard MUMPS
 
Iahit
IahitIahit
Iahit
 
FQHC Orientation
FQHC OrientationFQHC Orientation
FQHC Orientation
 
Chart Book 2006
Chart Book 2006Chart Book 2006
Chart Book 2006
 
WorldVistA 061607
WorldVistA 061607WorldVistA 061607
WorldVistA 061607
 
WorldVistA by K.S. Bhaskar
WorldVistA by K.S. BhaskarWorldVistA by K.S. Bhaskar
WorldVistA by K.S. Bhaskar
 
FDA Presentation 07/17/07
FDA Presentation 07/17/07FDA Presentation 07/17/07
FDA Presentation 07/17/07
 
VistA GT.M & Linux Security 062506
VistA GT.M & Linux Security 062506VistA GT.M & Linux Security 062506
VistA GT.M & Linux Security 062506
 
Landis - System Administration
Landis - System AdministrationLandis - System Administration
Landis - System Administration
 
Landis - Mumps
Landis - MumpsLandis - Mumps
Landis - Mumps
 
FileMan Training Part 3
FileMan Training Part 3FileMan Training Part 3
FileMan Training Part 3
 
FileMan Training Part 1
FileMan Training Part 1FileMan Training Part 1
FileMan Training Part 1
 
FileMan Training Part 2
FileMan Training Part 2FileMan Training Part 2
FileMan Training Part 2
 
WorldVistA Business Plan Overview
WorldVistA Business Plan OverviewWorldVistA Business Plan Overview
WorldVistA Business Plan Overview
 
WorldVistA Business Plan
WorldVistA Business PlanWorldVistA Business Plan
WorldVistA Business Plan
 
VistA Enhancements
VistA EnhancementsVistA Enhancements
VistA Enhancements
 

Último

CNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of ServiceCNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of Service
giselly40
 

Último (20)

Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
 
Data Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonData Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt Robison
 
Handwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsHandwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed texts
 
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
 
How to convert PDF to text with Nanonets
How to convert PDF to text with NanonetsHow to convert PDF to text with Nanonets
How to convert PDF to text with Nanonets
 
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfThe Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
 
[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf
 
🐬 The future of MySQL is Postgres 🐘
🐬  The future of MySQL is Postgres   🐘🐬  The future of MySQL is Postgres   🐘
🐬 The future of MySQL is Postgres 🐘
 
GenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdfGenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdf
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
 
CNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of ServiceCNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of Service
 
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
 
GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationGenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day Presentation
 
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemkeProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
 
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot TakeoffStrategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
 
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
 
08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 

Vista For Research

  • 1. Using VistA for Research Joseph Glass, MSW VA Ann Arbor Healthcare System Ann Arbor, MI The contents of this presentation are mine personally and do not reflect any position of the Government or the Department of Veterans Affairs .
  • 2.
  • 3.
  • 4.
  • 5.
  • 6.
  • 7.
  • 8.
  • 9.
  • 10.
  • 11.
  • 12.
  • 14.
  • 15.
  • 16.
  • 17. Extracting data: Case Study VA Ann Arbor VistA MS SQL Server Mumps Data Extractor (Every 2 weeks) Researcher with SPSS ODBC
  • 18. Future Direction: VA Ann Arbor VistA Cache Shadow Server Researcher with SPSS ODBC Cache Server Pages Email alert to clinician regarding a significant clinical event
  • 19.
  • 20.