A Risk Assessment of Two Interorganizational Clinical Information Systems
Author(s) -
C. Sicotte,
Guy Paré,
Marie-Pierre Moreault,
André Paccioni
Publication year - 2006
Publication title -
journal of the american medical informatics association
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.614
H-Index - 150
eISSN - 1527-974X
pISSN - 1067-5027
DOI - 10.1197/jamia.m2012
Subject(s) - risk analysis (engineering) , risk management , computer science , quality (philosophy) , it risk management , project risk management , process management , scale (ratio) , risk assessment , risk management framework , order (exchange) , test (biology) , information system , knowledge management , project management , business , project management triangle , computer security , systems engineering , engineering , paleontology , philosophy , physics , electrical engineering , finance , epistemology , quantum mechanics , biology
A risk analysis framework was used to examine the implementation barriers that may hamper the successful implementation of interorganizational clinical information systems (ICIS). In terms of study design, an extensive literature review was first performed in order to elaborate a comprehensive model of project risk factors. To test the applicability of the model, we next conducted a longitudinal multiple-case study of two large-scale ICIS demonstration projects carried out in Quebec, Canada. Variations in the levels of several risk dimensions measured throughout the duration of the projects were analyzed to determine their impact on successful implementation. The analysis shows that the proposed framework, composed of five risk dimensions, was very robust, and suitable for conducting a thorough risk analysis. The results also show that there are links between the quality of the risk management and the level of project outcomes. To be successful, it is important that the implementation efforts be distributed proportionally according to the importance of each of the risk factors. Furthermore, because the risks evolve dynamically, there is a need for high responsiveness to emerging implementation problems. Thus, implementation success lies in the ability of the project management team to be aware of and to manage several risk threats simultaneously and coherently since they evolve dynamically through time and interact with one another.
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