A computerized decision support system improves the accuracy of temperature capture from nursing personnel at the bedside.

Philip J. Kroth, Paul R. Dexter, J. Marc Overhage, Cynthia Knipe, Siu L. Hui, Anne Belsito, Clement J. McDonald

Research output: Contribution to journalArticle

5 Scopus citations

Abstract

OBJECTIVE: To assess the effect of a computerized decision support system (CDSS) on the accuracy of patient temperature recording at the bed side. DESIGN: This is a randomized, controlled trial comparing nurses assigned to an intervention group that received CDSS whenever they attempted to store a low temperature (</= 96.4 degrees F) or a control group that received no CDSS. MEASUREMENTS: The computer recorded temperatures that would trigger reminders equally in both control and intervention groups. It also logged the reactions of nurses who received reminders and whether they retook the patient's temperature or chose to store the original low value. RESULTS: We analyzed the temperature data over a 10-month period tracking a total of 44339 temperatures taken by the control group and 45823 temperatures taken by the intervention group. We showed a 51% relative reduction in the number of erroneous low temperatures stored by the intervention versus the control group. CONCLUSION: CDSS are effective with nursing personnel in improving the accuracy of temperature capture at the bedside.

Original languageEnglish (US)
Pages (from-to)444-448
Number of pages5
JournalAMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium
StatePublished - 2006
Externally publishedYes

ASJC Scopus subject areas

  • Medicine(all)

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