Data mining

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HM2018 Abstract Number: 167

A DATA MINING APPROACH TO DETECTING MEDICATION ORDER NEAR MISSES ASSOCIATED WITH ELECTRONIC ORDER SETS

Background: Adverse drug events (ADEs) are responsible for up to 770,000 inpatient injuries and deaths annually in the United States, most of which are from prescribing errors. Electronic order sets are designed to improve quality [...]

By | 2018-03-19T15:44:29-04:00 March 19th, 2018|Patient Safety, Research, Uncategorized|Comments Off on A DATA MINING APPROACH TO DETECTING MEDICATION ORDER NEAR MISSES ASSOCIATED WITH ELECTRONIC ORDER SETS