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Journal of Healthcare Engineering
Volume 5, Issue 4, Pages 457-478
http://dx.doi.org/10.1260/2040-2295.5.4.457
Research Article

Information Analytics for Healthcare Service Discovery

Lily Sun,1 Mohammad Yamin,2 Cleopa Mushi,1 Kecheng Liu,3,4 Mohammed Alsaigh,2 and Fabian Chen5

1School of Systems Engineering, University of Reading, UK
2Department of Management Information Systems, Faculty of Economics and Administration, King Abdulaziz University, Jeddah, Saudi Arabia
3Henley Business School, University of Reading, UK
4School of Information Management and Engineering, Shanghai University of Finance and Economics, Shanghai, China
5Royal Berkshire NHS Foundation Trust, Reading, UK

Received 1 February 2014; Accepted 1 August 2014

Copyright © 2014 Hindawi Publishing Corporation. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

The concept of being ‘patient-centric’ is a challenge to many existing healthcare service provision practices. This paper focuses on the issue of referrals, where multiple stakeholders, such as General Practitioners (GPs) and patients, are encouraged to make a consensual decision based on patients' needs. In this paper, we present an ontology-enabled healthcare service provision, which facilitates both patients and GPs in jointly deciding upon the referral decision. In the healthcare service provision model, we define three types of profiles which represent different stakeholders' requirements. This model also comprises a set of healthcare service discovery processes: articulating a service need, matching the need with the healthcare service offerings, and deciding on a best-fit service for acceptance. As a result, the healthcare service provision can carry out coherent analysis using personalised information and iterative processes that deal with requirements which change over time.