Implicit enterprise risk management: an IT healthcare adoption case study

Teoh, S and Cheong, C 2008, 'Implicit enterprise risk management: an IT healthcare adoption case study', in Annette Mills, Sid Huff (ed.) Proceedings of ACIS 2008, Christchurch, New Zealand, 3-5 December 2008, pp. 1011-1018.


Document type: Conference Paper
Collection: Conference Papers

Title Implicit enterprise risk management: an IT healthcare adoption case study
Author(s) Teoh, S
Cheong, C
Year 2008
Conference name 19 Australasian Conference on Information Systems
Conference location Christchurch, New Zealand
Conference dates 3-5 December 2008
Proceedings title Proceedings of ACIS 2008
Editor(s) Annette Mills, Sid Huff
Publisher University of Canterbury
Place of publication New Zealand
Start page 1011
End page 1018
Total pages 8
Abstract The unusually slow adoption of information technologies in healthcare is mainly attributed to the overwhelming risks involved in the implementation process embedded in that particular industry. The issue of timing and approach in employing risk management to mitigate risks in healthcare still remains a challenge. In this paper, we report our work in which the objective was to explore the employment of risk management practices from a Singapore-based hospital which is re-designing its medical informatics and premises to provide patient-centric quality healthcare. A total of 19 face-to-face interviews were conducted. The findings highlight that although this organization did not explicitly set out to use an Enterprise Risk Management approach, it has inadvertently done so. The questions of when and where to employ ERM can be difficult to determine, especially in the healthcare industry, hence, we conclude that practitioners should review their existing risk management practices and identify the embedded ERM activities so as to leverage on them in facilitating the managerial guidelines to accomplish the task.
Subjects Information Systems not elsewhere classified
Keyword(s) Enterprise Risk Management (ERM)
Medical Informatics
Case Study
Risk
Health information
Health IS
Medical IS.
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