使用生物识别技术进行重复数据删除:尼日利亚国家数据存储库案例研究。

IF 1.1
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
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引用次数: 0

摘要

背景:尼日利亚在客户级电子卫生系统方面进行了大量投资,包括尼日利亚医疗记录系统(NMRS)和国家数据存储库(NDR),资金来自美国总统艾滋病紧急救援计划,通过美国疾病控制和预防中心(US CDC)。在美国疾病控制与预防中心支持的尼日利亚项目中使用了一种生物识别系统,以在此期间持续跟踪和监测艾滋病毒感染者接受服务的情况。该系统用于进行重复数据删除分析,目的是防止重复计算并改善美国疾病控制和预防中心支持的所有治疗地点(卫生设施和社区地点)的数据完整性。目的:我们描述了尼日利亚的指纹生物识别系统和用于删除艾滋病毒感染者健康记录的过程,包括初步结果。方法:指纹生物识别系统充分利用了卫生机构电子核磁共振仪和国家核磁共振仪的可用性。将指纹生物识别模块集成到NMRS中,可以使用SecuGen设备捕获指纹。在艾滋病毒感染者和卫生机构工作人员的参与下,开展了利益攸关方参与和能力建设,以便采集、储存指纹模板并将其传送给国家减灾规划。指纹模板的重复数据删除是在与NDR集成的自动化生物识别信息系统中进行的。结果:对1141个治疗点的1538971例HIV感染者实施指纹采集,消除重复记录,提高记录系统的可靠性和唯一性。初步数据显示,截至2024年6月30日,评估的1538971份记录中,有效指纹记录1520187份(98.78%),有效指纹记录唯一记录1264299份(83.17%)。结论:使用指纹数据的生物识别系统的实施允许识别潜在的重复记录进行解决,从而提高艾滋病毒治疗数据的质量,用于艾滋病毒规划。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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

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

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

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

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 through the US Centers for Disease Control and Prevention (US CDC). A biometric system was used across the US CDC-supported program in Nigeria to consistently track and monitor service uptake by people living with HIV during this period. The system was used to conduct deduplication analysis with the goal of preventing double counting and improving data integrity across all the US CDC-supported treatment sites (health facilities and community sites).

Objective: We describe the fingerprint biometric system in Nigeria and the process used for deduplicating health records of people living with HIV, including preliminary results.

Methods: The fingerprint biometric system leveraged the availability of the electronic NMRS at health facilities and the NDR. The integration of the fingerprint biometric module into the NMRS enabled fingerprints capture using SecuGen devices. Stakeholder engagement and capacity building were conducted with people living with HIV 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 that is integrated with the NDR.

Results: We implemented fingerprint capture for 1,538,971 people living with HIV to deduplicate records from 1,141 treatment 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 fingerprints were unique.

Conclusions: The implementation of a 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.

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