Development of a Clinical Decision Support System for Smart Algorithms in Emergency Medicine.

Artificial Intelligence Clinical Decision Support System Clinical Process Emergency Medicine

Journal

Studies in health technology and informatics
ISSN: 1879-8365
Titre abrégé: Stud Health Technol Inform
Pays: Netherlands
ID NLM: 9214582

Informations de publication

Date de publication:
14 Jan 2022
Historique:
entrez: 22 1 2022
pubmed: 23 1 2022
medline: 27 1 2022
Statut: ppublish

Résumé

The development of clinical decision support systems (CDSS) is complex and requires user-centered planning of assistive interventions. Especially in the setting of emergency care requiring time-critical decisions and interventions, it is important to adapt a CDSS to the needs of the user in terms of acceptance, usability and utility. In the so-called ENSURE project, a user-centered approach was applied to develop the CDSS intervention. In the context of this paper, we present a path to the first mockup development for a CDSS interface by addressing Campbell's Five Rights within the CDSS workflow.

Identifiants

pubmed: 35062133
pii: SHTI210900
doi: 10.3233/SHTI210900
doi:

Types de publication

Journal Article

Langues

eng

Pagination

224-227

Auteurs

Stefan Vogel (S)

Department of Medical Informatics, University Medical Center Göttingen, Germany.

Andreas Reiswich (A)

GECKO Institute, Heilbronn University of Applied Sciences, Germany.

Zully Ritter (Z)

Department of Medical Informatics, University Medical Center Göttingen, Germany.

Michael Schmucker (M)

GECKO Institute, Heilbronn University of Applied Sciences, Germany.

Angela Fuchs (A)

Emergency Department, University Medical Center Göttingen, Germany.

Kerstin Pischek-Koch (K)

Department of Medical Informatics, University Medical Center Göttingen, Germany.

Stefanie Wache (S)

Department of Medical Informatics, University Medical Center Göttingen, Germany.

Katrin Esslinger (K)

Emergency Department, University Medical Center Göttingen, Germany.

Michael Dietrich (M)

German Research Center for Artificial Intelligence Berlin, Germany.

Tibor Kesztyüs (T)

Department of Medical Informatics, University Medical Center Göttingen, Germany.

Dagmar Krefting (D)

Department of Medical Informatics, University Medical Center Göttingen, Germany.

Martin Haag (M)

GECKO Institute, Heilbronn University of Applied Sciences, Germany.

Sabine Blaschke (S)

Emergency Department, University Medical Center Göttingen, Germany.

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Classifications MeSH