title: Acceptance of clinical decision support surveillance technology in the clinical pharmacy.
abstract: BACKGROUND
  There are clinical and economic benefits to incorporating clinical decision support systems (CDSSs) in patient care interventions in the clinical pharmacy setting. However, user dissatisfaction and resistance to HIT can prevent optimal use of such systems, particularly when users employ system workarounds and overrides.
  
  
  OBJECTIVE
  The present study applied a modified version of the unified theory of acceptance and use of technology (UTAUT) to evaluate the disposition and satisfaction with CDSS among clinical pharmacists who perform surveillance to identify potential medication therapy interventions on patients in the hospital setting.
  
  
  METHODS
  A survey of clinical pharmacists (N = 48) was conducted. Partial least squares (PLS) regression was used to analyze the influence of the UTAUT-related variables on behavioral intention and satisfaction with CDSS among clinical pharmacists.
  
  
  RESULTS
  While behavioral intention did not predict actual use of HIT, facilitating conditions had a direct effect on pharmacists' use of CDSS. Likewise, satisfaction with CDSS was found to have a direct effect on use, with more satisfied users being less inclined to employ workarounds or overrides of the system.
  
  
  CONCLUSIONS
  Based on the findings, organizational structures that facilitate CDSS use and user satisfaction affect the extent to which pharmacy and health care management maximize use in the clinical pharmacy setting.
authors.affiliation: a Humana , Louisville , KY , USA.
authors.forename: Dan
authors.initials: D
authors.lastname: English
authors.affiliation: b Health Informatics, Northern Kentucky University , Highland Heights , KY , USA.
authors.forename: Kalyani
authors.initials: K
authors.lastname: Ankem
authors.affiliation: c Bellarmine University , Louisville , KY , USA.|d Northern Kentucky University , Highland Heights , KY , USA.
authors.forename: Kathleen
authors.initials: K
authors.lastname: English
mesh_terms: D000328:Adult; D000367:Age Factors; D001291:Attitude of Health Personnel; D001292:Attitude to Computers; D020000:Decision Support Systems, Clinical / Q000458:organization & administration*; D005260:Female; D006801:Humans; D016018:Least-Squares Analysis; D008297:Male; D008875:Middle Aged; D010595:Pharmacists / Q000523:psychology*; D010607:Pharmacy Service, Hospital / Q000458:organization & administration*; D024382:Professional Role; D015203:Reproducibility of Results; D012737:Sex Factors
keywords: Clinical decision support systems; clinical pharmacists; health care information technology; technology acceptance