title: Evaluation of a data warehouse in an academic health sciences center.
abstract: OBJECTIVE
  The Clinical data repository (CDR) at the University of Virginia Health System is a data warehouse that provides direct access to data for clinical research and effective decision making. We undertook an evaluation of the CDR to understand factors affecting its adoption.
  
  
  METHODS
  We used a theoretical framework that is based on diffusion of innovation theory. Building on validated survey instruments, we developed a questionnaire and conducted interviews of key executive leaders. Fifty-three individuals with logon ids to the CDR completed our questionnaire. Twelve executive leaders were interviewed.
  
  
  METHODS
  The outcome variables were the initial and continued use of the CDR. Independent variables included attributes suggested by diffusion theory (i.e. relative advantage, complexity), knowledge and skills expected to correlate with computer usage, and the influence of communication channels.
  
  
  RESULTS
  Our overall response rate was 82%. We identified characteristics of users associated with the initial decision to use the CDR. Compatibility with an individual's skills and work style was associated strongly with satisfaction and continued use. Secondly, the importance of organizational culture and the need for data was illuminated by management interviews.
  
  
  CONCLUSIONS
  We have shown that diffusion of innovation theory can be used to help understand factors contributing to the success of a data warehouse in a healthcare setting. Our results suggest areas for future research and inquiry as the CDR evolves.
authors.affiliation: Department of Health Evaluation Sciences, University of Virginia School of Medicine, P.O. Box 800717, Charlottesville, VA 22908-0717, USA. jrw5d@virginia.edu
authors.forename: J R
authors.initials: JR
authors.lastname: Schubart
authors.forename: J S
authors.initials: JS
authors.lastname: Einbinder
mesh_terms: D000046:Academic Medical Centers; D001292:Attitude to Computers; D016208:Databases, Factual; D003658:Decision Making, Computer-Assisted; D004059:Diffusion of Innovation; D007722:Health Knowledge, Attitudes, Practice; D006801:Humans; D016347:Medical Records Systems, Computerized; D011795:Surveys and Questionnaires; D014768:Virginia