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  • Patient Identity Management Toolkit
    • Modules
      • Key Considerations in Matching
        • Background
        • Phase 1 - Planning and Analysis
        • Phase 2 - Implementation
        • Phase 3 - Review and Refine
        • Frequently Asked Questions (FAQ)
      • Matching with Biometrics
        • Overview
        • Role in Identity Management
        • Choosing Biometric Characteristics and Modalities
          • Reviewing Studies and Comparisons
          • Reviewing Standards and Guidelines
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        • Trends and Developments
          • Current Trends
          • Future Developments
        • Closing
        • References
        • Glossary
    • Learn from Others
      • Map of Country Implementations
      • Reaching Health Standards and Creating Client Registry in Haiti (2021)
      • Introduction to Biometrics for Patient Identity, Presented by Simprints (2022)
      • Utilizing Biometrics for Unique Patient Identification (UPID) in Côte d’Ivoire (2022)
      • Establishing a Unique Patient Identification (UPI) Framework in Kenya (2023)
      • Malawi Master Patient Index (2023)
      • Piloting a Patient Identity Management System (PIMS) in Haiti (2023)
      • Leveraging Biometrics to Scale a Patient Identity Management System (PIMS) in Nigeria (2023)
      • Leveraging Adaptive Machine Learning Algorithms for Patient Identification in Zimbabwe (2023)
      • OpenHIE23 Meeting in Malawi. Patient Identity Management Collaborative Hackathon. (2023)
      • Strengthening Patient Identity Management (PIM) by Integrating a Client Registry in Rwanda (2023)
      • Patient Identity Management Initiatives in Ethiopia (2023)
      • Patient Identity Management Initiatives in Botswana (2024)
    • References
  • How to Provide Feedback and Input on the TIF and Toolkit
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On this page
  • Countries: Uganda
  • Intervention Description
  • Intervention Details
  1. HIV Treatment Continuity Technology Intervention Framework (TIF)
  2. During the Visit
  3. Visit Management Interventions

EMR Visit Management (Uganda)

METS, Uganda (February 2021)

PreviousVisit Management InterventionsNextMissed Appointment Interventions

Last updated 1 year ago

Countries: Uganda

Intervention Description

Program allows point-of-care queueing for tracking of patients during care, support clinical decision making and give an overview of lab tests and results.

Presenter: Stephen Musoke, METS

DUC Meeting Recording

Intervention Details

Data Elements

Patient demographic details

Patient unique ID

Service point specific identifiers

Evidence

Technology Requirements / Interoperability

Point care –queues (to track patient care and to know whether patients are missing appointment or missing picking up medications etcetera.)

Developed a Mobile app to outreach patients who missed patients and provide community-based health service delivery.

This app helps to increase the outreach by tracking the people who lost appointments.

Calculations / Algorithms

Factors to Scale

Patient flags are used for analysis of patient data. It is same as traffic light analogy.

Green flag-patient is attending the visits.

Orange flag- patient has 3 more chances (like a danger zone).

Red flag- Patient lost complete follow up

Implementation Considerations

Governance Considerations