Effects of workload, work complexity, and repeated alerts on alert fatigue in a clinical decision support system
Cornell University · NewYork–Presbyterian Hospital · +3 more institutions
Abstract
Although alert fatigue is blamed for high override rates in contemporary clinical decision support systems, the concept of alert fatigue is poorly defined. We tested hypotheses arising from two possible alert fatigue mechanisms: (A) cognitive overload associated with amount of work, complexity of work, and effort distinguishing informative from uninformative alerts, and (B) desensitization from repeated exposure to the same alert over time.
Retrospective cohort study using electronic health record data (both drug alerts and clinical practice reminders) from January 2010 through June 2013 from 112 ambulatory primary care clinicians. The cognitive overload hypotheses were that alert acceptance would be lower with higher workload (number of encounters, number of patients), higher work complexity (patient comorbidity, alerts per encounter), and more alerts low in informational value (repeated alerts for the same patient in the same year). The desensitization hypothesis was that, for newly deployed alerts, acceptance rates would decline after an initial peak.
Citation impact
- FWCI
- 70.75
- Percentile
- 100%
- References
- 43
Authors
7- WTwith the HITEC InvestigatorsCorresponding
Cornell University
- JSJessica S. Ancker
NewYork–Presbyterian Hospital, Cornell University, Tehran University of Medical Sciences
- AEAlison Edwards
Cornell University, Institute for Family Health, Icahn School of Medicine at Mount Sinai
- SNSarah Nosal
Institute for Family Health, Icahn School of Medicine at Mount Sinai
- DHDiane Hauser
Cornell University, Icahn School of Medicine at Mount Sinai
Topics & keywords
- Workload
- Health informatics
- Decision support system
- Computer science
- Work (physics)
- Clinical decision support system
- Medical emergency
- Data science
- Peace, Justice and strong institutions