Activity-oriented access control to ubiquitous hospital information and services

  • Authors:
  • Xuan Hung Le;Sungyoung Lee;Young-Koo Lee;Heejo Lee;Murad Khalid;Ravi Sankar

  • Affiliations:
  • Department of Electrical Engineering, University of South Florida, 4202 E. Fowler Avenue, Tampa, FL, USA;Department of Computer Engineering, Kyung Hee University, Seocheon, Gihung, Yongin, Geyonggi 446-701, South Korea;Department of Computer Engineering, Kyung Hee University, Seocheon, Gihung, Yongin, Geyonggi 446-701, South Korea;Department of Computer Science and Engineering, Korea University, Anam-dong Seongbuk-gu, Seoul 136-701, South Korea;Department of Electrical Engineering, University of South Florida, 4202 E. Fowler Avenue, Tampa, FL, USA;Department of Electrical Engineering, University of South Florida, 4202 E. Fowler Avenue, Tampa, FL, USA

  • Venue:
  • Information Sciences: an International Journal
  • Year:
  • 2010

Quantified Score

Hi-index 0.07

Visualization

Abstract

In hospital information systems, protecting the confidentiality of health information, whilst at the same time allowing authorized physicians to access it conveniently, is a crucial requirement. The need to deliver health information at the point-of-care is a primary factor to increase healthcare quality and cost efficiency. However, current systems require considerable coordination effort of hospital professionals to locate relevant documents to support a specific activity. This paper presents a flexible and dynamic access control model, Activity-Oriented Access Control (AOAC), which is based on user activity to authorize access permissions. A user is allowed to perform an activity if he/she holds a number of satisfactory attributes (i.e. roles, assignments, etc.) under a specified condition (e.g. time, location). Results of AOAC implementation in a realistic healthcare scenario have shown to meet two important requirements: protecting confidentiality of health information by denying an unauthorized access, and allowing physicians to conveniently browse medical data at the point-of-care. Furthermore, the average execution time was 0.078s which allows AOAC to work in real-time.