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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

Glossary

PreviousReferencesNextLearn from Others

Last updated 9 months ago

Biometric Characteristics - “biological and behavioural characteristic of an individual from which distinguishing, repeatable can be extracted for the purpose of ”.

Biometric Identification – “process of searching against a biometric enrolment database to find and return the biometric reference identifier(s)attributable to a single individual. Note 1 to entry: Use of the term “authentication” as a substitute for biometric identification is deprecated”.

Biometric Recognition – “automated recognition of individuals based on their biological and behavioural characteristics. Note 1 to entry: In the field of biometrics (as defined in this document), “Individual" is restricted in scope to refer only to humans. Note 2 to entry: The general meaning of biometrics encompasses counting, measuring and statistical analysis of any kind of data in the biological sciences including the relevant medical sciences.

Note 3 to entry: Biometric recognition encompasses biometric verification and biometric identification. Note 4 to entry: Automated recognition implies that a machine-based system is used for the recognition either for the full process or assisted by a human being.

Note 5 to entry: Behavioural and biological characteristics cannot be completely separated which is why the definition uses ‘and’ instead of ‘and/or’. For example, a fingerprint image results from the biological characteristics of the finger ridge patterns and the behavioural act of presenting the finger. Note 6 to entry: Use of 'authentication' as a synonym for “biometric verification or biometric identification” is deprecated; the term biometric recognition is preferred”.

Biometric Systems – “system for the purpose of the biometric recognition of individuals based on their behavioural and biological characteristics. Note 1 to entry: A biometric system will contain both biometric and non- biometric components”.

Biometric Verification - “process of confirming a biometric claim through comparison. Note 1 to entry: The term “verification”, in the above definition refers to verifying biometrics. Note 2 to entry: Use of the term “authentication” as a substitute for biometric verification is deprecated”.

Physiological Biometrics - “physical, structural, and relatively static characteristics”., Examples include: fingerprints, face, iris, retina, dental features, finger/hand geometry, ear shape, vascular structures (finger/palm veins)”.

Multimodal - “multiple in at least two out of three constituents of a mode in a single biometric system. Note 1 to entry: Multiple implies difference in type”.

biometric features
biometric recognition
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