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

被引:7
作者
Black, Alofi [1 ]
Sahama, Tony [1 ]
Gajanayake, Randike [1 ]
机构
[1] QUT, Sci & Engn Fac, Informat Secur Discipline, Brisbane, Qld, Australia
来源
E-HEALTH - FOR CONTINUITY OF CARE | 2014年 / 205卷
关键词
PCEHR; eHealth; data-driven; cloud computing; SOA; eHaaS; HEALTH;
D O I
10.3233/978-1-61499-432-9-915
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
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.
引用
收藏
页码:915 / 919
页数:5
相关论文
共 17 条
[1]   EHRs connect research and practice: Where predictive modeling, artificial intelligence, and clinical decision support intersect [J].
Bennett, Casey C. ;
Doub, Thomas W. ;
Selove, Rebecca .
HEALTH POLICY AND TECHNOLOGY, 2012, 1 (02) :105-114
[2]   Progress in Web-based decision support technologies [J].
Bhargava, Hemant K. ;
Power, Daniel J. ;
Sun, Daewon .
DECISION SUPPORT SYSTEMS, 2007, 43 (04) :1083-1095
[3]   Bringing Big Data to Personalized Healthcare: A Patient-Centered Framework [J].
Chawla, Nitesh V. ;
Davis, Darcy A. .
JOURNAL OF GENERAL INTERNAL MEDICINE, 2013, 28 :S660-S665
[4]  
Di Maio A., 2009, GARTNER IND RES
[5]   The health record banking imperative: A conceptual model [J].
Gold, J. D. ;
Ball, M. J. .
IBM SYSTEMS JOURNAL, 2007, 46 (01) :43-55
[6]   The emergence of national electronic health record architectures in the United States and Australia: Models, costs, and questions [J].
Gunter, TD ;
Terry, NP .
JOURNAL OF MEDICAL INTERNET RESEARCH, 2005, 7 (01)
[7]   Opportunities and Challenges for the Life Sciences Community [J].
Kolker, Eugene ;
Stewart, Elizabeth ;
Ozdemir, Vural .
OMICS-A JOURNAL OF INTEGRATIVE BIOLOGY, 2012, 16 (03) :138-147
[8]  
Kudyba SP, 2010, HEALTHCARE INFORMATICS: IMPROVING EFFICIENCY AND PRODUCTIVITY, P1, DOI 10.1201/9781439809792-f
[9]  
Markarian J., 2007, INFORM TERADATA MICR
[10]   eHealth: Extending, Enhancing, and Evolving Health Care [J].
Meier, Carlos A. ;
Fitzgerald, Maria C. ;
Smith, Joseph M. .
ANNUAL REVIEW OF BIOMEDICAL ENGINEERING, VOL 15, 2013, 15 :359-382