Medical exceptions to decision support: a tool to identify provider misconceptions and direct academic detailing.

Stephen D. Persell*, Nancy C. Dolan, David W. Baker

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

Clinical decision support can be used to capture the medical exceptions that justify deviations from guideline-based care. Peer review of this data is a potentially valuable and efficient means of identifying physician misconceptions or gaps in the medical knowledge base. Our early experience performing peer review on medical exceptions recorded through computerized point-of-care alerts shows that most medical exceptions were legitimate. Twelve percent of exceptions were inappropriate and 10% involved areas of considerable medical uncertainty.

Original languageEnglish (US)
Number of pages1
JournalAMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium
StatePublished - Dec 1 2008

ASJC Scopus subject areas

  • Medicine(all)

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