Title: Role-based access control through on-demand classification of electronic health record

Authors: Basant Tiwari; Abhay Kumar

Addresses: F-91/59, Tulsi Nagar, Opp. Jawahar Bal Bhawan, Bhopal – 462003 (M.P.), India ' School of Electronics, Devi Ahilya University, Takshashila Campus, Khandwa Road, Indore – 452 001 (M.P.), India

Abstract: Electronic health records (EHR) provides convenient method to exchange medical information of patients between different healthcare providers. Access control mechanism in healthcare services characterises authorising users to access EHR records. Role Based Access Control helps to restrict EHRs to users in a certain role. Significant works have been carried out for access control since last one decade but little emphasis has been given to on-demand role based access control. Presented work achieved access control through physical data isolation which is more robust and secure. We propose an algorithm in which selective combination of policies for each user of the EHR database has been defined. We extend well known data mining technique 'classification' to group EHRs with respect to the given role. Algorithm works by taking various roles as class and defined their features as a vector. Here, features are used as a Feature Vector for classification to describe user authority.

Keywords: e-healthcare; electronic healthcare; EHRs; electronic health records; RBAC; role-based access control; classification; data mining; EHR roles; feature vector.

DOI: 10.1504/IJEH.2015.071637

International Journal of Electronic Healthcare, 2015 Vol.8 No.1, pp.9 - 24

Received: 28 Jun 2014
Accepted: 23 Oct 2014
Published online: 08 Sep 2015 *

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