Current Volume 9
Biometric Based Electronic Health Record and Patient Identification System for Improved Healthcare Delivery in Nigeria
Abstract
Accurate patient identification is critical to patient safety and effective healthcare delivery. In many developing countries, including Nigeria, healthcare institutions continue to rely on manual patient identification systems that are prone to errors, record duplication, and delays in accessing medical information. These challenges undermine the effectiveness of electronic health record (EHR) systems and compromise quality of care. This study designed, implemented, and evaluated a facial biometric–based electronic health record and patient identification system as a secure, contactless, and scalable solution for Nigerian healthcare settings. An experimental research design was adopted. Facial images were collected from 50 patients at a Nigerian tertiary healthcare institution, with three facial samples per participant, resulting in a dataset of 150 images. The system was developed using Java, OpenCV, and a MySQL database. Performance evaluation was conducted using standard biometric metrics, including face detection accuracy, face recognition accuracy, false acceptance rate (FAR), false rejection rate (FRR), and average system response time.The developed system achieved a face detection accuracy of 98.67% and a face recognition accuracy of 94.67%. Both FAR and FRR were recorded at 2.67%, while the average response time was 1.82 seconds. These findings demonstrate that facial recognition technology can effectively support real-time patient identification and electronic health record retrieval in clinical environments. The study concludes that facial biometric-based EHR systems can significantly enhance patient safety, reduce record duplication, and improve healthcare efficiency in low-resource settings. Future work should explore multi-modal biometric integration, large-scale deployment, and robust data privacy frameworks.
Keywords
Facial recognition; Biometrics; Electronic health records; Patient identification; Health informatics; Nigeria
Citations
IRE Journals:
Ayoola Sunday Ekundayo "Biometric Based Electronic Health Record and Patient Identification System for Improved Healthcare Delivery in Nigeria" Iconic Research And Engineering Journals Volume 9 Issue 9 2026 Page 3498-3507 https://doi.org/10.64388/IREV9I9-1715456
IEEE:
Ayoola Sunday Ekundayo
"Biometric Based Electronic Health Record and Patient Identification System for Improved Healthcare Delivery in Nigeria" Iconic Research And Engineering Journals, 9(9) https://doi.org/10.64388/IREV9I9-1715456
About IRE Journals
IRE Journals is an open access online journals established with an aim to publish high quality of research work in various diciplines. We have more than 6 years in publications. Over 2500+ papers already published.
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