Information Analytics for Healthcare Service Discovery

Sun, Lily; Yamin, Mohammad; Mushi, Cleopa; Liu, Kecheng; Alsaigh, Mohammed; Chen, Fabian

doi:https://doi.org/10.1260/2040-2295.5.4.457

Journal of Healthcare Engineering

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Research Article | Open Access

Volume 5 | Article ID 318646 | https://doi.org/10.1260/2040-2295.5.4.457

Information Analytics for Healthcare Service Discovery

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

Received01 Feb 2014

Accepted01 Aug 2014

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.

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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.

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