eHealth-as-a-Service (eHaaS) : a data-driven decision making approach in Australian context

Black, Alofi Shane, Sahama, Tony R., & Gajanayake, Randike (2014) eHealth-as-a-Service (eHaaS) : a data-driven decision making approach in Australian context. In Studies in Health Technology and Informatics [e-Health - For Continuity of Care], IOS Press, Istanbul, Turkey, pp. 915-919.

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A commitment in 2010 by the Australian Federal Government to spend $466.7 million dollars on the implementation of personally controlled electronic health records (PCEHR) heralded a shift to a more effective and safer patient centric eHealth system. However, deployment of the PCEHR has met with much criticism, emphasised by poor adoption rates over the first 12 months of operation. An indifferent response by the public and healthcare providers largely sceptical of its utility and safety speaks to the complex sociotechnical drivers and obstacles inherent in the embedding of large (national) scale eHealth projects. With government efforts to inflate consumer and practitioner engagement numbers giving rise to further consumer disillusionment, broader utilitarian opportunities available with the PCEHR are at risk. This paper discusses the implications of establishing the PCEHR as the cornerstone of a holistic eHealth strategy for the aggregation of longitudinal patient information. A viewpoint is offered that the real value in patient data lies not just in the collection of data but in the integration of this information into clinical processes within the framework of a commoditised data-driven approach. Consideration is given to the eHealth-as-a-Service (eHaaS) construct as a disruptive next step for co-ordinated individualised healthcare in the Australian context.

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ID Code: 72798
Item Type: Conference Paper
Refereed: Yes
Additional Information: Proceedings of the 2014 European Federation for Medical Informatics
Additional URLs:
Keywords: eHealth, , eHaaS, SOA, cloud computing, data-driven, PCEHR
DOI: 10.3233/978-1-61499-432-9-915
ISBN: 978-1-61499-431-2
ISSN: 0926-9630
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > LIBRARY AND INFORMATION STUDIES (080700) > Health Informatics (080702)
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2014 IOS Press and the European Federation for Medical Informatics
Deposited On: 15 Jun 2014 23:06
Last Modified: 18 Sep 2014 02:47

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