Data analytics and health services quality: Implementing eHealth initiatives wisely
File version
Accepted Manuscript (AM)
Author(s)
Kelly, Therese
Hiremath, Sanjeev
Wilkinson, Adrian
Griffith University Author(s)
Primary Supervisor
Other Supervisors
Editor(s)
Pedersen, John Storm
Wilkinson, Adrian
Date
Size
File type(s)
Location
License
Abstract
eHealth systems, supported by data analytics, have increasingly facilitated data driven and/or supported decision-making practices across health sectors. eHealth proponents suggest that these strategies may improve healthcare processes and improve patient outcomes. Critics, in contrast, suggest that they lead to data-driven management (DDM) systems that create top-down decision-making, data-driven bureaucracies. This chapter examines the drivers of data analytic–supported eHealth systems across industrialized economies and their associated impacts and implementation challenges. It further considers how eHealth systems are impacting on the quality of health services, including in the Australian context. This includes a systemic review of the eHealth literature, supported by a case study analysis on an Australian eHealth initiative, entitled ‘Choosing Wisely Pathology’. It concludes that two main factors, collaboration and participation, underpin the successful implementation and ongoing adoption of eHealth systems
Journal Title
Conference Title
Book Title
Big Data: Promise, Application and Pitfalls
Edition
Volume
Issue
Thesis Type
Degree Program
School
Publisher link
Patent number
Funder(s)
Grant identifier(s)
Rights Statement
Rights Statement
© The Author(s) 2019. This is the author-manuscript version of the paper. Please refer to the publisher's website or contact the author(s) for more information.
Item Access Status
Note
Access the data
Related item(s)
Subject
Strategy, management and organisational behaviour
Persistent link to this record
Citation
Ross, P; Kelly, T; Hiremath, S; Wilkinson, A, Data analytics and health services quality: Implementing eHealth initiatives wisely, Big Data: Promise, Application and Pitfalls, 2019, pp. 170-199