Biometric Secured Electronic Health Record

Author:

Sankaranarayanan Suresh1,Udayasuriyan Vigneshwaran1

Affiliation:

1. SRM University Chennai, India

Abstract

Lot of Hospitals around the world are going through transformation from paper based to Electronic Health record system which can be accessed from anywhere. But with such Electronic health record, security is very much needed towards avoiding hackers and unauthorized personnel to access the medical record pretending as doctor or patient. Lot of research been conducted in regards to an authentication of the biometric system and security on the digital electronic health records of the health care organization. In such biometric system, there has been an increase in the false rejection ratio due to a slight difference in the positioning of the finger on the biometric scanner. The small wounds and scratches on the fingers may also lead to the false rejection of the legitimate user. So accordingly the authors in this research have developed innovative and enhanced technology of the frame based biometric authentication system by segmenting the fingerprint image towards authenticating the medical personnel. This method reduces the False Rejection Ratio (FRR) and False Acceptance Ratio (FAR) compared to neighbouring nodal and data centric method. In addition, with the frame based biometric authentication, the authors have also developed level of strictness for doctor's and patient's based on placement of finger in biometric scanner. Lastly, the authors have also developed an application which integrates Frame based biometric methodology along with RFID and GSM for access of records in a secured way and also to provide a better treatment and medicines for incoming patients.

Publisher

IGI Global

Reference18 articles.

1. Bifari, E. N., & Elrefaeir, L. A. (2014). Automated Fingerprint Identification System Based on Weighted Feature Points Matching Algorithm. Proceedings of Advances in Computing (pp. 2212–2217). Delhi, India: Communications and Informatics.

2. On Secure Data Management in Health-Care Environment

3. Passive RFID customer service enhancement using fuzzy logic

4. Minutiae-Based Matching State Model for Combinations in Fingerprint Matching System

5. Fingerprint Matching Incorporating Ridge Features With Minutiae

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