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Background
Management of the system
• System Management:
– PIH HIS. M&E and Research
– System Development: PIH/IMB Software team
– PIH Business Analyst & HIS Developer Manager–
– PIH Software Developers: Berchmas Ndikubwimana, Neza Guillaine,
Bailley Rurangirwa
• System Implementation:
– Cross site Implementation
• PIH Implementation Manager – Nadine Karema
• PIH Cross site and training coordinator
– District Implementation
• MOH Medical Directors
• PIH District EMR Coordinators
• MOH EMR staff based at health facilities
• PIH District and cross site EMR IT management
• 3 District Hospitalsᵃ and 34 HFsᵇ
Current status
• OpenMRS EMR in use in 34 health centers in 3 Districts
• 29 Sites have their own server and maintain a synched
copy of the entire database
• Clinical data systems in use for chronic diseases (~50000
patients):
– HIV
– NCD (asthma, diabetes, hypertension, heart failure)
– Oncology
-> Patient Registration and look-up,
Reporting for patient follow-up , M&E,
Research, and Data Quality
Use of Data for Operational Decisions
– Direct Patient Care
4
• Paper charts
– Rendezvous forms
– Flow sheets
• Consult sheets
• Patient lists
– Key clinical information
– Medications
– Alerts for care (ex. CD4 decline, late CD4, last
visit, weight decline > 5%)
Use of Data for Tactical Decisions –
Patient Tracking & Mentoring
5
• Monthly Patient Reports
– Late visits
– Late CD4 counts
– No clinical visit in the last 12 months
– Very low BMI
– High viral load in the last 6 months
Use of Data for Tactical Decisions –
Program Monitoring
6
• Quarterly Reporting of Key Indicators
– Per location
– By program
Use of Data for Strategic Decisions –
Influencing Policy
7
• EMR data supports the policy
development, implementation, and
feedback cycle
• Example: measuring viral load, diabetes
testing
Current MOH Project: Harmonization
• PIH/MOH capture different contents for
similar programs
• Difficult to exchange tools across systems
• Concepts not standardized to international
terminologies
• Lack of a standard model for managing
metadata
Harmonization: Current Status
Objective:
 Avoid discrepancies in EMR data implementations
 Establish concept dictionary with standard terminology
 Simplify exchange of EMR tools across systems
Achievements :
 Build a national metadata server (MDS) to manage
data
 Harmonize our EMRs sites to guarantee sustainability
Activities planned 2014/2015
First Phase:
 Implement HIV Flowsheet as a pilot project
 Harmonize and clean MoH/PIH dictionaries
 Create mapping tools for new concepts terminology
 Uses MDS as principal source for partners or
researchers.
Next Phase:
 Implement NCD program with new concept techniques
 Design and develop strategies for metadata
management
Murakoze

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Partners In Health Rwanda (IMB) @ OpenMRS Maputo2015

  • 2. Management of the system • System Management: – PIH HIS. M&E and Research – System Development: PIH/IMB Software team – PIH Business Analyst & HIS Developer Manager– – PIH Software Developers: Berchmas Ndikubwimana, Neza Guillaine, Bailley Rurangirwa • System Implementation: – Cross site Implementation • PIH Implementation Manager – Nadine Karema • PIH Cross site and training coordinator – District Implementation • MOH Medical Directors • PIH District EMR Coordinators • MOH EMR staff based at health facilities • PIH District and cross site EMR IT management • 3 District Hospitalsᵃ and 34 HFsᵇ
  • 3. Current status • OpenMRS EMR in use in 34 health centers in 3 Districts • 29 Sites have their own server and maintain a synched copy of the entire database • Clinical data systems in use for chronic diseases (~50000 patients): – HIV – NCD (asthma, diabetes, hypertension, heart failure) – Oncology -> Patient Registration and look-up, Reporting for patient follow-up , M&E, Research, and Data Quality
  • 4. Use of Data for Operational Decisions – Direct Patient Care 4 • Paper charts – Rendezvous forms – Flow sheets • Consult sheets • Patient lists – Key clinical information – Medications – Alerts for care (ex. CD4 decline, late CD4, last visit, weight decline > 5%)
  • 5. Use of Data for Tactical Decisions – Patient Tracking & Mentoring 5 • Monthly Patient Reports – Late visits – Late CD4 counts – No clinical visit in the last 12 months – Very low BMI – High viral load in the last 6 months
  • 6. Use of Data for Tactical Decisions – Program Monitoring 6 • Quarterly Reporting of Key Indicators – Per location – By program
  • 7. Use of Data for Strategic Decisions – Influencing Policy 7 • EMR data supports the policy development, implementation, and feedback cycle • Example: measuring viral load, diabetes testing
  • 8. Current MOH Project: Harmonization • PIH/MOH capture different contents for similar programs • Difficult to exchange tools across systems • Concepts not standardized to international terminologies • Lack of a standard model for managing metadata
  • 9. Harmonization: Current Status Objective:  Avoid discrepancies in EMR data implementations  Establish concept dictionary with standard terminology  Simplify exchange of EMR tools across systems Achievements :  Build a national metadata server (MDS) to manage data  Harmonize our EMRs sites to guarantee sustainability
  • 10. Activities planned 2014/2015 First Phase:  Implement HIV Flowsheet as a pilot project  Harmonize and clean MoH/PIH dictionaries  Create mapping tools for new concepts terminology  Uses MDS as principal source for partners or researchers. Next Phase:  Implement NCD program with new concept techniques  Design and develop strategies for metadata management

Editor's Notes

  1. To contextualize the intervention area
  2. ᵃ. PIH-supported DHs: Butaro, Kayonza, and Kirehe ᵇ. PIH-supported HCs: Bukora, Butaro, Cyanika, Cyarubare, Gahara, Gahunga, Gashongora, Gitare, Kabarondo, Kabuye, Karama, Kinoni, Kinyababa, Kirambo, Kirehe, Mahama, Mulindi, Mucaca, Musaza, Mushikiri, Nasho, Ndego, Ntaruka, Nyabitare, Nyamirama, Nyamugali, Nyarubuye, Ruhunde, Ruramira, Rusumo, Rutare, Rwantonde, Rwerere, Rwinkwavu