title: Impact of clinical reminder redesign on physicians' priority decisions.
abstract: OBJECTIVE
  Computerized clinical reminder (CCR) systems can improve preventive service delivery by providing patient-specific reminders at the point of care. However, adherence varies between individual CCRs and is correlated to resolution time amongst other factors. This study aimed to evaluate how a proposed CCR redesign providing information explaining why the CCRs occurred would impact providers' prioritization of individual CCRs.
  
  
  METHODS
  Two CCR designs were prototyped to represent the original and the new design, respectively. The new CCR design incorporated a knowledge-based risk factor repository, a prioritization mechanism, and a role-based filter. Sixteen physicians participated in a controlled experiment to compare the use of the original and the new CCR systems. The subjects individually simulated a scenario-based patient encounter, followed by a semi-structured interview and survey.
  
  
  METHODS
  We collected and analyzed the order in which the CCRs were prioritized, the perceived usefulness of each design feature, and semi-structured interview data.
  
  
  RESULTS
  We elicited the prioritization heuristics used by the physicians, and found a CCR system needed to be relevant, easy to resolve, and integrated with workflow. The redesign impacted 80% of physicians and 44% of prioritization decisions. Decisions were no longer correlated to resolution time given the new design. The proposed design features were rated useful or very useful.
  
  
  CONCLUSIONS
  This study demonstrated that the redesign of a CCR system using a knowledge-based risk factor repository, a prioritization mechanism, and a role-based filter can impact clinicians' decision making. These features are expected to ultimately improve the quality of care and patient safety.
authors.affiliation: School of Industrial Engineering, Purdue University , West Lafayette, IN 47907, USA.
authors.forename: Sze-Jung
authors.initials: SJ
authors.lastname: Wu
authors.forename: Mark R
authors.initials: MR
authors.lastname: Lehto
authors.forename: Yuehwern
authors.initials: Y
authors.lastname: Yih
authors.forename: Jason J
authors.initials: JJ
authors.lastname: Saleem
authors.forename: B N
authors.initials: BN
authors.lastname: Doebbeling
keywords: Decision support; HIT; computerized clinical reminders; health information technology