A Knowledge-Constrained Access Control Model for Protecting Patient Privacy in Hospital Information Systems

IEEE J Biomed Health Inform. 2018 May;22(3):904-911. doi: 10.1109/JBHI.2017.2696573. Epub 2017 Apr 21.

Abstract

Current access control mechanisms of the hospital information system can hardly identify the real access intention of system users. A relaxed access control increases the risk of compromise of patient privacy. To reduce unnecessary access of patient information by hospital staff, this paper proposes a knowledge-constrained role-based access control (KC-RBAC) model in which a variety of medical domain knowledge is considered in access control. Based on the proposed Purpose Tree and knowledge-involved algorithms, the model can dynamically define the boundary of access to the patient information according to the context, which helps to protect patient privacy by controlling access. Compared with the role-based access control model, KC-RBAC can effectively protect patient information according to the results of the experiments.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Algorithms
  • Computer Communication Networks
  • Confidentiality*
  • Hospital Information Systems / standards*
  • Humans
  • Models, Organizational