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Data Use Community
  • HIV Treatment Continuity Technology Intervention Framework (TIF)
    • Outside the Visit
      • Pre Appointment Support Interventions
        • QI-PM Pre Appointment Support
        • Pre-Appointment Reminders (Nigeria)
        • Pre-Appointment Support (South Sudan)
      • Population-Based Scheduling Interventions
        • CMIS Pre Appointment Support & Population Based Scheduling (Eswatini)
      • Congestion Redistribution
        • Lighthouse Trust's Community-based ART Retention and Suppression (CARES) App in Malawi
        • Differentiated Service Delivery Models Support in UgandaEMR
      • Pooling Patient Data
        • Unique Identity (Botswana)
        • Data Analysis and Visualizations (Tanzania)
      • Anticipatory Guidance
    • During the Visit
      • Proactive Adherence Counselling Interventions
        • Missed Appointments Lists (Haiti)
        • AI Predictive Adherence Counseling (South Africa)
        • Machine Learning to Predict Interruption in Treatment (Mozambique)
        • Predictive model for Interruption in Treatment in Patient Treatment Response Dashboard (Nigeria)
      • Reactive Adherence Counseling Interventions
        • Reactive Adherence Counseling (Haiti)
        • Adherence Dashboard (Kenya)
      • Visit Management Interventions
        • EMR Visit Management (Uganda)
    • Missed Appointment Interventions
      • Missed Appointment Reminder
        • Two-way Texting Patient reminders and tracking (Zimbabwe)
        • Patient Reminders and Tracking (Kenya)
        • EMR-ART Missed Appointment Reminder (Ethiopia)
        • Person-Centered Public Health for HIV Treatment (PCPH)
        • Missed Appointment Management (Western Kenya)
        • Rwanda Biomedical Center EMR (RBC EMR)
      • Intensive Outreach Intervention
        • Missed Appointments and Intensive Outreach (Kenya)
        • Patient Tracing (Ethiopia)
        • Identification of Missed Appointments (Malawi)
        • Missed Appointments and Intensive Outreach (Nigeria)
      • Targeted Adherence Support Interventions
        • Enhancing HIV Treatment Continuity: Innovations and Data Use in Kenya's Health Information Systems
  • 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 CĂ´te 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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  1. Patient Identity Management Toolkit
  2. Modules
  3. Matching with Biometrics

Role in Identity Management

PreviousOverviewNextChoosing Biometric Characteristics and Modalities

Last updated 9 months ago

In healthcare, identity management plays a critical role in ensuring continuity of care, both as patients return for follow-up visits or seek care at another facility.,, Biometric systems, which “contain both biometric and non-biometric components”, can help identify the patient seeking care as the same patient represented by an existing medical record within or across digital systems.,,

When a patient arrives at a health facility’s registration, biometric recognition can be used to search, compare, and confirm a patient’s identity against existing medical records to the patient, thereby matching the patient to existing medical records. Biometric recognition processes are broken down into biometric identification and biometric verification.

*For the purposes of this module, the term “biometric identification” will be used in place of biometric recognition.

In , , and , biometrics are collected at the facility level and connect with local and/or national databases for biometric identification.,, In , biometrics are collected in community settings as part of the electronic community health information system (eCHIS). Additionally, discussions have begun for incorporating biometrics to a national identification (ID).

Implementation of biometric identification can be classified based on how many modalities are used: unimodal (one) or multimodal (multiple) biometric system.,

, , and ’s eCHIS only utilize fingerprint biometrics, and therefore are considered to have unimodal biometric systems. ,,, Simprints, a non-profit, notes having a multimodal biometric system could be beneficial in a scenario where it is not possible to collect data for one biometric characteristic. In this case, then the other could be used. For example, if a multimodal biometric system utilized fingerprint and facial biometrics, and data was not possible to be collected for fingerprint biometrics, then facial biometrics can be collected. Additionally, Ethiopia is looking to have a national ID that incorporates multimodal biometrics. Currently Ethiopia is looking at fingerprint biometrics and iris biometrics. The plan is that the national ID can be used to access different services, including healthcare services.

Since biometric systems include biometrics and non-biometric features, existing processes collecting demographic information can be used if a unimodal biometric system does not work or if a patient does not consent to utilizing biometrics. For example, , identified that they would utilize a system previously put into place to collect demographic information, if fingerprints for a patient were not able to be captured. In addition, Simprints shared the example that while a patient may consent to sharing information, treatment, etc., they may not consent to biometrics collection.

10
11
12
1
10
11
12
1
Nigeria
Côte d’Ivoire
Haiti
13
14
15
Ethiopia
16
1
17
Nigeria
Côte d’Ivoire,
Haiti
Ethiopia
13
14
15
16
14
16
Côte d’Ivoire
14