Use of clinical alerting to improve the collection of clinical research data

AMIA Annu Symp Proc. 2009 Nov 14;2009:218-22.


Data errors in electronic health records have been shown to have the potential to adversely impact the conclusions drawn from clinical research. We prospectively studied the efficacy of a new alert to infer errors in previously stored data and to decrease the frequency of data entry errors, in an attempt to improve the quality of data for clinical trials. For the purpose of this study, we monitored data entry errors in height or weight measurements. We predetermined the criteria for probable error as a ten percent variance from a patient's reference value. The care provider entering a value satisfying our error criteria received a disruptive pop-up alert message. The study revealed a significant decrease in the frequency of data errors stored in the EHR, from 2.4% before the alert to 0.9% after the alert. These findings have implications for the development of clinical research trial data collection support tools.

Publication types

  • Research Support, N.I.H., Intramural

MeSH terms

  • Body Height
  • Body Weight
  • Clinical Trials as Topic*
  • Data Collection / methods*
  • Data Collection / standards
  • Electronic Health Records*
  • Humans
  • Prospective Studies
  • Reminder Systems*