Improving acceptance of computerized prescribing alerts in ambulatory care.
By Nidhi R. Shah, A. Seger, D. Seger, J. Fiskio, G. Kuperman, B. Blumenfeld, Elaine G. Recklet, David W. Bates, T. Gandhi. JAMIA Journal of the American Medical Informatics Association, 2006
374 citations recorded by the source corpus.
Subfields: Emergency Medical Services, Health Information Management, Surgery
View Paper: https://www.semanticscholar.org/paper/e9660b9c115477f5189a27d46096a1d282edd68d
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Citations in the corpus
- Effects of workload, work complexity, and repeated alerts on alert fatigue in a clinical decision support system (2017, background): “Many other studies lack physician-level or pre-post data needed to distinguish between the explanations or estimate effect sizes [25, 26], or else report override rates and their predictors without directly addressing alert fatigue [8, 27, 28].”
- Medication-related clinical decision support in computerized provider order entry systems: a review. (2007, neutral): “One institution documented that ordering clinicians accepted 77% of such warnings as appropriate after restricting duplicate medication class alerts to those with high risk for adverse events (analgesic, cardiac, psychiatric, and endocrine medications).(35)”
- Some Unintended Consequences of Clinical Decision Support Systems (2007, neutral): “This can be done by carefully selecting a set of alerts that can have the most impact [18] and, if it is possible with the system, by filtering by severity levels of interactions [13].”