Title: Location context for knowledge management in healthcare

Authors: Kamran Ahsan, Hanifa Shah, Paul Kingston

Addresses: Faculty of Computing, Engineering and Technology and Centre for Ageing and Mental Health, Staffordshire University, BL-167, Blackheath Lane, Stafford ST18 0AD, UK. ' Faculty of Computing, Engineering and Technology, Staffordshire University, Octagon Building, Beaconside, Stafford ST18 0AD, UK. ' Centre for Ageing and Mental Health, Staffordshire University, BL-167, Blackheath Lane, Stafford ST18 0AD, UK

Abstract: Enterprise Architecture (EA) is an appropriate tool for business and IT alignment. It is also possible to use EA for design and implementation of healthcare applications, since it has the potential to represent healthcare processes effectively. Our research aim is to develop an EA framework for managing contextual knowledge by exploiting object location deduction technologies in healthcare processes that involve the movement of patients. Such a framework is intended to facilitate healthcare managers in adopting location deduction technologies for patient care resulting in improvements in clinical process management and healthcare services.

Keywords: knowledge management; healthcare process integration; enterprise architecture; context-based technology; service automation; location context; object location; patient care; location deduction; clinical process management; mobile computing; context awareness; RFID; radio frequency identification.

DOI: 10.1504/IJHTM.2010.033271

International Journal of Healthcare Technology and Management, 2010 Vol.11 No.1/2, pp.3 - 12

Available online: 16 May 2010 *

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