title: Improving the utilization of admission order sets in a computerized physician order entry system by integrating modular disease specific order subsets into a general medicine admission order set.
abstract: METHODS
  We evaluated the effects of integrating order subsets for the most common medical diagnoses into a general medical admission order set of our electronic medical records (EMR) in order to improve order set integration by clinicians.
  We identified the most common primary and secondary diagnoses for patients admitted to our medical service and developed order subsets comprising only of the orders necessary for the management of these individual diagnoses. Using the capabilities of our computerized physician order entry (CPOE), we nested these order subsets into the general order set and evaluated the resulting change in order set utilization by our clinicians.
  The total number of order sets used by clinicians in all departments increased fivefold during the 16-month period following the implementation of the integrated order sets in July 2008. A before and after time series was used to analyze the trend in increased order set usage and showed an effect of the intervention (p=0.023).
  
  
  CONCLUSIONS
  Integration of disease specific order subsets into a single general admission order set significantly improved the overall adoption of order sets by clinicians. This provides health care systems with the opportunity to improve patient safety and implement evidence based care in clinical practice.
authors.affiliation: Department of Medicine, Sinai-Grace Hospital, Detroit Medical Center, Detroit, Michigan, USA.
authors.forename: Rajika L
authors.initials: RL
authors.lastname: Munasinghe
authors.forename: Camelia
authors.initials: C
authors.lastname: Arsene
authors.forename: Tarun K
authors.initials: TK
authors.lastname: Abraham
authors.forename: Marwan
authors.initials: M
authors.lastname: Zidan
authors.forename: Mohamed
authors.initials: M
authors.lastname: Siddique
mesh_terms: D057286:Electronic Health Records / Q000458:organization & administration*; D006801:Humans; D050316:Medical Order Entry Systems / Q000458:organization & administration / Q000706:statistics & numerical data*; D008824:Michigan; D010343:Patient Admission; D010818:Practice Patterns, Physicians'; D018511:Systems Integration; D013996:Time and Motion Studies; D014584:User-Computer Interface