The future of postoperative vital sign monitoring in general wards: improving patient safety through continuous artificial intelligence-enabled alert formation and reduction.
Journal
Current opinion in anaesthesiology
ISSN: 1473-6500
Titre abrégé: Curr Opin Anaesthesiol
Pays: United States
ID NLM: 8813436
Informations de publication
Date de publication:
01 Dec 2023
01 Dec 2023
Historique:
medline:
31
10
2023
pubmed:
22
10
2023
entrez:
22
10
2023
Statut:
ppublish
Résumé
Monitoring of vital signs at the general ward with continuous assessments aided by artificial intelligence (AI) is increasingly being explored in the clinical setting. This review aims to describe current evidence for continuous vital sign monitoring (CVSM) with AI-based alerts - from sensor technology, through alert reduction, impact on complications, and to user-experience during implementation. CVSM identifies significantly more vital sign deviations than manual intermittent monitoring. This results in high alert generation without AI-evaluation, both in patients with and without complications. Current AI is at the rule-based level, and this potentially reduces irrelevant alerts and identifies patients at need. AI-aided CVSM identifies complications earlier with reduced staff workload and a potential reduction of severe complications. The current evidence for AI-aided CSVM suggest a significant role for the technology in reducing the constant 10-30% in-hospital risk of severe postoperative complications. However, large, randomized trials documenting the benefit for patient improvements are still sparse. And the clinical uptake of explainable AI to improve implementation needs investigation.
Identifiants
pubmed: 37865847
doi: 10.1097/ACO.0000000000001319
pii: 00001503-990000000-00138
doi:
Types de publication
Review
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
683-690Informations de copyright
Copyright © 2023 Wolters Kluwer Health, Inc. All rights reserved.
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