Association of patient complexity with information processing and usability of electronic health records among ICU providers: a multicenter study
Higher case complexity was shown to be associated with greater information-processing burden and less efficient EHR use. These findings have implications for enhancing the efficiency of EHR use, thereby leading to improved clinical decision-making and patient safety. Furthermore, reviewing complex cases first led to a greater information-processing burden, suggesting that providers could benefit from "warming up" with standard cases before reviewing complex cases.
Authors
- Robert Handzel (ORCID: https://orcid.org/0000-0003-4324-3566)
- Vitaly Herasevich (ORCID: https://orcid.org/0000-0002-0214-0651)
- Deepika Mohan (ORCID: https://orcid.org/0000-0003-2063-0811)
- Nate C. Apathy
- Marcella H Boynton
- Shannon S Carson
- Raj M Ratwani
- Yining Li
- Saif Khairat
Institutions
- University of North Carolina at Chapel Hill (US)
- Mayo Clinic (US)
- University of Pittsburgh (US)
- Mayo Clinic in Arizona (US)
- Mayo Clinic in Florida (US)
- MedStar Health (US)
Publication Details
- Journal
- Journal of the American Medical Informatics Association
- Published
- 2026-01-21
- DOI
- https://doi.org/10.1093/jamia/ocag017
- Primary Topic
- Electronic Health Records Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00