title: Determinants of clinical information system post-adoption success.
abstract: The diffusion of information technology (IT) in healthcare systems to support clinical processes makes the evaluation of physician and nurse post-adoption an important challenge for clinical information systems (CIS). This paper examines the relationships between the determinants of success of a CIS based on an expectation-confirmation paradigm in a cross-sectional survey performed at the Sherbrooke University Hospital (CHUS). 32.2% (161) of physicians and 27.1% (352) of nurses responded to the survey questionnaires. Results suggested that physician and nurse satisfaction is determined differently according to post-adoption expectations: compatibility, confirmation of expectations, usefulness, ease of use, and support. The best predictor of physician satisfaction was perceived usefulness (r=.25, p=.0003) whereas for nurses it was ease of use (r=.18, p=.0003). Confirmation of expectations was strongly associated with each post-adoption expectation and positions its importance in CIS design and redesign. This study draws attention to the differences between physician and nurse perceptions of information technology and emphasizes post-adoption evaluation to measure CIS success. Physicians and nurses post-adoption expectations were key factors to warn again potential discontinuance.
authors.affiliation: Collaborative Research for Effective Diagnostics, Sherbrooke University, Québec, Canada. sie.jean.marc.palm@usherbrooke.ca
authors.forename: Jean-Marc
authors.initials: JM
authors.lastname: Palm
authors.forename: Andrew
authors.initials: A
authors.lastname: Grant
authors.forename: Jean-Marie
authors.initials: JM
authors.lastname: Moutquin
authors.forename: Patrice
authors.initials: P
authors.lastname: Degoulet
mesh_terms: D001291:Attitude of Health Personnel; D020000:Decision Support Systems, Clinical / Q000706:statistics & numerical data*; D057286:Electronic Health Records / Q000706:statistics & numerical data*; D019538:Health Care Surveys / Q000379:methods*; D009726:Nurses / Q000706:statistics & numerical data*; D010820:Physicians / Q000706:statistics & numerical data*; D011792:Quebec; D014600:Utilization Review / Q000379:methods*