title: Mapping clinicians' perceptions about computerized protocol use to an IT implementation framework.
abstract: Previous studies have described the determinants of successful information technology (IT) implementation. In 2003, Kukafka et al. integrated several theoretical perspectives and proposed a framework for IT implementation. This framework is applicable to IT implementation in general but lacks the identification of factors affecting adoption, which are specific to the technology under consideration. We developed and validated a model that specifically identifies factors associated with clinicians' adoption of computerized protocols. The purpose of this paper is to identify the relations between the specific factors associated with intention to use computerized protocols and the high level variables that constitute the framework proposed by Kukafka et al. Incorporation of a specific model into a general schema for IT implementation allows implementers to assess the specific individual, organizational and environmental changes required to bring about successful implementation of computerized protocols. An understanding of clinicians' perceptions specific to the technology in use will allow its seamless integration into an organization's healthcare IT plan. Strategic planning requires enhancing the framework with additional detail related to the specific technology under consideration.
authors.affiliation: Department of Biomedical Informatics, College of Nursing, University of Utah, and LDS Hospital, Pulmonary Division, Salt Lake City, Utah 84112-5750, USA. shobha.phansalkar@hsc.utah.edu
authors.forename: Shobha
authors.initials: S
authors.lastname: Phansalkar
authors.forename: Katherine A
authors.initials: KA
authors.lastname: Sward
authors.forename: Charlene R
authors.initials: CR
authors.lastname: Weir
authors.forename: Alan H
authors.initials: AH
authors.lastname: Morris
mesh_terms: D001291:Attitude of Health Personnel; D001292:Attitude to Computers; D001525:Behavioral Sciences; D002985:Clinical Protocols; D006801:Humans; D007256:Information Systems / Q000706:statistics & numerical data*; D007407:Interviews as Topic; D008962:Models, Theoretical; D010820:Physicians