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Accepted for/Published in: Online Journal of Public Health Informatics

Date Submitted: Oct 18, 2024
Date Accepted: Jun 20, 2025

The final, peer-reviewed published version of this preprint can be found here:

Use of Biometrics for Records Deduplication: Case Study of the National Data Repository in Nigeria

Oladipo A, Dalhatu I, Balogun ST, Bamidele M, Fagbemi A, Abbas IA, Nalda N, Ugbena R, Orjih J, Efuntoye TA, Doman B, Patel S, Tolentino H, Rosen D, Kariuki J, Alonge J, Balogun K, Umeh N, Gomez G, Onimode O, Olatoregun O, Samuels JO, Bashorun A

Use of Biometrics for Records Deduplication: Case Study of the National Data Repository in Nigeria

Online J Public Health Inform 2025;17:e67580

DOI: 10.2196/67580

PMID: 40857687

PMCID: 12380403

Use of Biometrics for Records Deduplication: A Case Study of the National Data Repository in Nigeria.

  • Ademola Oladipo; 
  • Ibrahim Dalhatu; 
  • Stephen Taiye Balogun; 
  • Moyosola Bamidele; 
  • Ayodele Fagbemi; 
  • Isah Ahmed Abbas; 
  • Nannim Nalda; 
  • Richard Ugbena; 
  • Jude Orjih; 
  • Timothy A Efuntoye; 
  • Brooke Doman; 
  • Sadhna Patel; 
  • Herman Tolentino; 
  • Daniel Rosen; 
  • James Kariuki; 
  • Johnson Alonge; 
  • Kehinde Balogun; 
  • Nnamdi Umeh; 
  • Gibril Gomez; 
  • Oludare Onimode; 
  • Olaposi Olatoregun; 
  • Jay Osi Samuels; 
  • Adebobola Bashorun

ABSTRACT

Background:

Nigeria has made significant investments in client-level electronic health systems, including the Nigeria Medical Record System (NMRS) and the National Data Repository (NDR), with funding from the US President’s Emergency Plan for AIDS Relief (PEPFAR) through the US Centers for Disease Control and Prevention (US CDC). A biometric system was used across the U.S. CDC supported program in Nigeria to consistently track and monitor service uptake by PLHIV during this period. The system was used to conduct deduplication analysis with the goal to prevent double counting and improve data integrity across all the U.S. CDC supported treatment sites.

Objective:

We describe the fingerprint biometric system in Nigeria and the process used for deduplicating health records of PLHIV, including preliminary results.

Methods:

The fingerprint biometric system leveraged the availability of the electronic NMRS at health facilities and the NDR. The integration of fingerprint biometric module into the NMRS enabled fingerprints capture using SecuGen devices. Stakeholder engagement and capacity building were conducted with PLHIV and health facility staff for fingerprint capture, storage, and transmission of the fingerprint templates to the NDR. Deduplication of the fingerprint templates was conducted in the Automated Biometric Information System (ABIS) that is integrated with the NDR.

Results:

We implemented fingerprint capture for 1,538,971 PLHIV to deduplicate records from 1,141 treatment sites (health facilities and community sites) to improve the reliability and uniqueness of the system of records. Preliminary data showed that of the 1,538,971 records assessed by 30th June 2024, 1,520,187 of the active records (98.78%) had valid fingerprints and 1,264,299 (83.17%) of the records with valid fingerprint were unique.

Conclusions:

The implementation of biometric system using fingerprint data allowed the identification of potentially duplicate records for resolution, thereby improving the quality of HIV treatment data for HIV program planning. Clinical Trial: Not applicable


 Citation

Please cite as:

Oladipo A, Dalhatu I, Balogun ST, Bamidele M, Fagbemi A, Abbas IA, Nalda N, Ugbena R, Orjih J, Efuntoye TA, Doman B, Patel S, Tolentino H, Rosen D, Kariuki J, Alonge J, Balogun K, Umeh N, Gomez G, Onimode O, Olatoregun O, Samuels JO, Bashorun A

Use of Biometrics for Records Deduplication: Case Study of the National Data Repository in Nigeria

Online J Public Health Inform 2025;17:e67580

DOI: 10.2196/67580

PMID: 40857687

PMCID: 12380403

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© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.