Data Collection Module for a Centralized Electronic Health Records System
Open accessAbstract
Electronic Health Records (EHRs) play a crucial role in modern healthcare, enhancing quality, safety, efficiency, and research capabilities. However, in Nigeria the full acceptance of such modern ways of managing healthcare delivery is marred with various challenges such as infrastructure, funding, technical expertise, and regulatory issues. This paper presents a proposed conceptual framework of a Data Collection Module for a Centralized EHR System in Nigeria, aimed at addressing data accessibility challenges faced by healthcare facilities for patients registering at their facilities. The module utilizes National Identification Numbers (NINs), barcodes, and biometric identification methods to collect and secure patient demographic data. It incorporates a web application, biometric software, and barcode/QR code software to ensure efficient data collection and verification. Our study demonstrates the feasibility and effectiveness of employing biometric identification techniques in data collection modules, offering enhanced accuracy, reliability, security, and usability of patient data in a developing healthcare system like Nigeria.The proposed module has not been tested in a real-world environment, so more study is required to determine its viability, scalability, and effect on the standard and results of healthcare.
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Healthcare workers in Nigeria may be interested in EHR systems in theory, but real practice is limited by context-specific factors including device unavailability, instability of institutional preparedness, and poor health informatics skills.
“Facts of scoping and quantitative research also confirm that healthcare workers might be interested in EHR systems in theory, but the real practice is limited due to the context specifics, including device unavailability, instability of institutional preparedness, and poor health informatics skills of professionals [14, 22, 23].”
From Cloud-based Electronic Health Records (EHR) Adoption Rate in Nigeria: Barriers and Performance Bottlenecks (2026) · cites this paper as [14]
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Experimental — accuracy not yet measuredLiterature estimates indicate that EHR adoption in Nigerian healthcare institutions is between about 18 and 23 percent, with only a small number of hospitals having fully digitalized patient information systems and the rest using hybrid or legacy systems.
“Literary estimates indicate that the adoption of EHR in healthcare institutions in Nigeria is between about 18 and 23 percent with only a small number of hospitals having digitalized patient information systems wholly with the rest using hybrid systems or legacy systems [12, 14, 15, 16, 17].”
From Cloud-based Electronic Health Records (EHR) Adoption Rate in Nigeria: Barriers and Performance Bottlenecks (2026) · cites this paper as [14]
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Cites
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Adoghe, O. B., Ikharo, B., & Amhenrior, H. (2026) · Research Square (preprint) · doi:10.21203/rs.3.rs-8821192/v1
Self-citation
- Authors
- Adoghe, O. B., Ikharo, B. A., Amhenrior, H. E., Abiodun, J., & B. Chukwu, E.
- Affiliations
- Federal Medical Centre (NG)
- Edo State University Uzairue (NG)
- Corresponding author
- Adoghe, Olumhense B.
- Venue
- Journal Of Engineering Research Innovation And Scientific Development
- Publisher
- Delta State University
- Published
- 2024-03-31
- Volume
- 2
- Issue
- 1
- Pages
- 11-19
- ISSN
- 2971-6594 (ISSN-L)
- 2971-6608
- OpenAlex
- W4395054094
- Cited by
- 0
- References
- 2
- FWCI
- 0.00
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal Of Engineering Research Innovation And Scientific Development (publishedVersion)
- Topics
- Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
- Health Sciences › Health Professions › Health Information Management › Medical Coding and Health Information
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Technology and Human Factors in Education and Health
- Keywords
- electronic health records, data collection module, biometric identification, national identification number, web application, data security
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