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 language||English (US)|
|Number of pages||1|
|Journal||AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium|
|State||Published - Dec 1 2008|
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