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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
          • Additional Topics to Consider
        • 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: Eswatini
  • Intervention Description
  • Intervention Details
  1. HIV Treatment Continuity Technology Intervention Framework (TIF)
  2. Outside the Visit
  3. Population-Based Scheduling Interventions

CMIS Pre Appointment Support & Population Based Scheduling (Eswatini)

Eswatini National EMR, Eswatini (February 2021)

PreviousPopulation-Based Scheduling InterventionsNextCongestion Redistribution

Last updated 1 year ago

Countries: Eswatini

Intervention Description

This intervention integrates with the national system allowing registered patient demographics to be accessed from any facility. The system provides 92% of the data needed for monitoring the 95-95-95 goals.

Presenter: Mzawandile Viakati, Eswatini National EMR

Intervention Details

Data Elements

Patient ID

Patient demographic details (age, sex, marital status)

Contact details

Appointment dates

Clinical notes

Evidence

92% of HIV care and treatment (95-95-95) data can be drawn into single system.

Technology Requirements / Interoperability

Integrates with complementary information system covering diagnostics and logistics

Auto-check in for clients presenting at health facilities

Database and Cascades include TB/HIV, early infant diagnosis (EID), PMTCT and preventive services.

Calculations / Algorithms

Factors to Scale

Implementation Considerations

Use of multiple information systems at given time using different capturing tools like paper register, desktop based excel sheets, online sheets can lead to duplication of records.

Governance Considerations

DUC Meeting Recording