title: A randomized trial of "corollary orders" to prevent errors of omission.
abstract: OBJECTIVE
  Errors of omission are a common cause of systems failures. Physicians often fail to order tests or treatments needed to monitor/ameliorate the effects of other tests or treatments. The authors hypothesized that automated, guideline-based reminders to physicians, provided as they wrote orders, could reduce these omissions.
  
  
  METHODS
  The study was performed on the inpatient general medicine ward of a public teaching hospital. Faculty and housestaff from the Indiana University School of Medicine, who used computer workstations to write orders, were randomized to intervention and control groups. As intervention physicians wrote orders for 1 of 87 selected tests or treatments, the computer suggested corollary orders needed to detect or ameliorate adverse reactions to the trigger orders. The physicians could accept or reject these suggestions.
  
  
  RESULTS
  During the 6-month trial, reminders about corollary orders were presented to 48 intervention physicians and withheld from 41 control physicians. Intervention physicians ordered the suggested corollary orders in 46.3% of instances when they received a reminder, compared with 21.9% compliance by control physicians (p < 0.0001). Physicians discriminated in their acceptance of suggested orders, readily accepting some while rejecting others. There were one third fewer interventions initiated by pharmacists with physicians in the intervention than control groups.
  
  
  CONCLUSIONS
  This study demonstrates that physician workstations, linked to a comprehensive electronic medical record, can be an efficient means for decreasing errors of omissions and improving adherence to practice guidelines.
authors.affiliation: Regenstrief Institute for Health Care, Indianapolis, Indiana 46202-2859, USA.
authors.forename: J M
authors.initials: JM
authors.lastname: Overhage
authors.forename: W M
authors.initials: WM
authors.lastname: Tierney
authors.forename: X H
authors.initials: XH
authors.lastname: Zhou
authors.forename: C J
authors.initials: CJ
authors.lastname: McDonald
mesh_terms: D003658:Decision Making, Computer-Assisted; D005260:Female; D017408:Guidelines as Topic; D006801:Humans; D008297:Male; D019300:Medical Errors; D016347:Medical Records Systems, Computerized; D008875:Middle Aged; D017010:Reminder Systems