Informatics and interaction: Applying human factors principles to optimize the design of clinical decision support for sepsis.
clinical decision support
human factors
sepsis
usability
user-centered design
Journal
Health informatics journal
ISSN: 1741-2811
Titre abrégé: Health Informatics J
Pays: England
ID NLM: 100883604
Informations de publication
Date de publication:
03 2020
03 2020
Historique:
pubmed:
14
5
2019
medline:
27
7
2021
entrez:
14
5
2019
Statut:
ppublish
Résumé
In caring for patients with sepsis, the current structure of electronic health record systems allows clinical providers access to raw patient data without imputation of its significance. There are a wide range of sepsis alerts in clinical care that act as clinical decision support tools to assist in early recognition of sepsis; however, there are serious shortcomings in existing health information technology for alerting providers in a meaningful way. Little work has been done to evaluate and assess existing alerts using implementation and process outcomes associated with health information technology displays, specifically evaluating clinician preference and performance. We developed graphical model displays of two popular sepsis scoring systems,
Identifiants
pubmed: 31081460
doi: 10.1177/1460458219839623
pmc: PMC6851411
mid: NIHMS1034118
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Langues
eng
Sous-ensembles de citation
IM
Pagination
642-651Subventions
Organisme : NLM NIH HHS
ID : R01 LM012300
Pays : United States
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