Achieving Value by Risk Stratification With Machine Learning Model or Clinical Risk Score in Acute Upper Gastrointestinal Bleeding: A Cost Minimization Analysis.
Journal
The American journal of gastroenterology
ISSN: 1572-0241
Titre abrégé: Am J Gastroenterol
Pays: United States
ID NLM: 0421030
Informations de publication
Date de publication:
23 Nov 2023
23 Nov 2023
Historique:
received:
20
06
2023
accepted:
22
09
2023
pubmed:
27
9
2023
medline:
27
9
2023
entrez:
27
9
2023
Statut:
aheadofprint
Résumé
We estimate the economic impact of applying risk assessment tools to identify very low-risk patients with upper gastrointestinal bleeding who can be safely discharged from the emergency department using a cost minimization analysis. We compare triage strategies (Glasgow-Blatchford score = 0/0-1 or validated machine learning model) with usual care using a Markov chain model from a US health care payer perspective. Over 5 years, the Glasgow-Blatchford score triage strategy produced national cumulative savings over usual care of more than $2.7 billion and the machine learning strategy of more than $3.4 billion. Implementing risk assessment models for upper gastrointestinal bleeding reduces costs, thereby increasing value.
Identifiants
pubmed: 37753930
doi: 10.14309/ajg.0000000000002520
pii: 00000434-990000000-00885
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : NIH HHS
ID : DK125718
Pays : United States
Organisme : NIH HHS
ID : DK125718
Pays : United States
Informations de copyright
Copyright © 2023 by The American College of Gastroenterology.
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