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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 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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  1. Patient Identity Management Toolkit
  2. Modules
  3. Matching with Biometrics

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Last updated 8 months ago

ISO/IEC 2382-37:2022(en), Information technology — Vocabulary — Part 37: Biometrics
Biometrics - Glossary | CSRC (nist.gov)
What is Biometrics? - Definition - Biometrics Institute
Physiological and Behavioural Biometrics - Biometrics Institute
Biometrics: Personal Identification in Networked Society - Google Books
ACM: Digital Library: Communications of the ACM
An Investigation of Biometric Authentication in the Healthcare Environment - ScienceDirect
Physiological Biometrics - Examples - Biometrics Institute
Behavioural Biometrics - Examples - Biometrics Institute
Deep Dive_PT_ID_2016_exec summary.pdf (ecri.org)
Biometrics Can Help Match Patients to Their Electronic Health Records | The Pew Charitable Trusts (pewtrusts.org)
Why Patient Matching Is a Challenge: Research on Master Patient Index (MPI) Data Discrepancies in Key Identifying Fields - PMC (nih.gov)
DUC - Meetings - Indiana University (kaltura.com)
DUC Collaborative Session for Toolkit - Indiana University (kaltura.com)
DUC - Meetings - Indiana University (kaltura.com)
DUC - Meetings - Indiana University (kaltura.com)
Continuous Multimodal Biometric Authentication Schemes: A Systematic Review | IEEE Journals & Magazine | IEEE Xplore
A Responsible Biometric Deployment Handbook
DUC - Meetings - Indiana University (kaltura.com)
Biometric standards - Biometrics Institute
Standards for Biometric Technologies | NIST
The application of a biometric identification technique for linking community and hospital data in rural Ghana
FINAL_VERSION.pdf (imperial.ac.uk)
Security and Usability of a Personalized User Authentication Paradigm: Insights from a Longitudinal Study with Three Healthcare Organizations | ACM Transactions on Computing for Healthcare
Security, Privacy, and Usability in Continuous Authentication: A Survey - PMC (nih.gov)
View of Biometrics Systems and Technologies: A survey (univagora.ro)
Using digital health to enable ethical health research in conflict and other humanitarian settings - PMC (nih.gov)
A survey of U.S. public perspectives on facial recognition technology and facial imaging data practices in health and research contexts | PLOS ONE
“Are we getting the biometric bioethics right?” – the use of biometrics within the healthcare system in Malawi - PMC (nih.gov)
Body identification, biometrics and medicine: ethical and social considerations
Health Care Can Learn From Global Use of Biometric