Nurse's Achilles Heel: using big data to determine workload factors that impact near misses.

Amy A Campbell; Todd Harlan; Matt Campbell; Madhuri S Mulekar; Bin Wang

Study

Nurse's Achilles Heel: using big data to determine workload factors that impact near misses.

April 14, 2021

Campbell AA, Harlan T, Campbell M, et al. J Nurs Scholarsh. 2021;53(3):333-342.

View more articles from the same authors.

Using electronic health records, call light systems, and bar-code medication administration systems, this study examined the impact of six specific workload variables on nurses’ medication administration errors. At least one of the six variables was significantly associated with the occurrence or nonoccurrence of a near miss medication error in the majority of nurses. Because the specific variable(s) differed for each individual nurse, interventions addressing medication administration errors should be tailored to individual nurse risk factors.

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Nurse's Achilles Heel: using big data to determine workload factors that impact near misses.

Remote Response Team and Customized Alert Settings Help Improve Management of Sepsis

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