Overriding of drug safety alerts in computerized physician order entry.
By H. van der Sijs, J. Aarts, A. Vulto, Marc Berg. JAMIA Journal of the American Medical Informatics Association, 2006
1,068 citations recorded by the source corpus.
Subfields: Emergency Medical Services, Health Information Management, Surgery
View Paper: https://www.semanticscholar.org/paper/1ebc5ec58f94ea07da5d794f97457fa5ee7d93c2
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Emergency Medical Services
In Health Information Management
In Surgery
- Suchi Saria
- David C. Kale
- Randall C. Wetzel
- Zachary Chase Lipton
- Katherine A. Heller
- Joseph D. Futoma
- Sanjay Hariharan
Citations in the corpus
- Overconfidence as a cause of diagnostic error in medicine. (2008, background): “Other evidence for complacency can be seen in data from the review by van der Sijs and colleagues.(104) The authors cite several studies that examined the outcomes of the overrides of automated alerts, reminders, and guidelines.”
- Information security and privacy in healthcare: current state of research (2010, background): “Recent research has shown that excessive alerts may cause 'alert fatigue' leading clinicians to override alerts, and ultimately impacting patient safety (Sijs et al., 2006).”
- Effects of workload, work complexity, and repeated alerts on alert fatigue in a clinical decision support system (2017, background): “We considered alerts that were repeated the same year as potentially uninformative, following the work of previous researchers who have identified repeated alerts as duplicative and likely to have low relevance [7, 8, 32, 33].”
- A targeted real-time early warning score (TREWScore) for septic shock (2015, methodology): “Before deployment of a decision support tool like TREWScore, investigation of these issues, the intended work environment, and other human factors is warranted so that alarm fatigue is avoided and the value of the tool can be optimized in the clinical setting (50).”