From Annoying to Appreciated: Turning clinical decision support systems into a medical professional's best friend
Abstract
There's a big difference between driving suggestions that come from a newly licensed, know-it-all teenager and those that come from a professional racecar driver who has spent years honing skills on the course. The first is one you just want to be quiet, and the second is one you actually want to speak up.
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The simulated environment is unable to capture the full complexity of high-risk decision-making in a live-care delivery setting like the hospital environment, where there are many competing time and attention demands.
“However, the simulated environment is unable to capture the full complexity of high-risk decision-making in a live-care delivery setting like the hospital environment, where there are many competing time and attention demands 4,15,16,29 .”
From Factors driving provider adoption of the TREWS machine learning-based early warning system and its effects on sepsis treatment timing (2022) · cites this paper as [16]
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Henry, K. E., Kornfield, R., Sridharan, A., Linton, R. C., Groh, C., Wang, T., Wu, A., Mutlu, B., & Saria, S. (2022) · npj Digital Medicine · doi:10.1038/s41746-022-00597-7 · Cited by 207 · see citing works
Henry, K. E., Adams, R., Parent, C., Soleimani, H., Sridharan, A., Johnson, L., Hager, D. N., Cosgrove, S. E., Markowski, A., Klein, E. Y., et al. (2022) · Nature Medicine · doi:10.1038/s41591-022-01895-z · Cited by 127 · see citing works
- Authors
- Mertz, L.
- Corresponding author
- Mertz, Leslie
- ORCID
- Mertz, Leslie
- Venue
- IEEE Pulse
- Published
- 2015-09
- Volume
- 6
- Issue
- 5
- Pages
- 4-9
- ISSN
- 2154-2287 (ISSN-L)
- 2154-2317
- OpenAlex
- W1618082277
- Cited by
- 6
- References
- 0
- Citations by year
- 2025: 1 · 2023: 1 · 2022: 2 · 2018: 2
- FWCI
- 1.28
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- IEEE Pulse (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Technology and Human Factors in Education and Health
- Keywords
- clinical decision support systems, physician attitudes, clinical decision-making
- MeSH terms
- Humans, Microcomputers, Natural Language Processing, Practice Patterns, Physicians', Telemedicine, Decision Support Systems, Clinical
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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