Recognizing Preventable Death: Is There a Role of Survival Prediction Algorithms?

Détails

ID Serval
serval:BIB_57697AB42C3A
Type
Article: article d'un périodique ou d'un magazine.
Sous-type
Synthèse (review): revue aussi complète que possible des connaissances sur un sujet, rédigée à partir de l'analyse exhaustive des travaux publiés.
Collection
Publications
Institution
Titre
Recognizing Preventable Death: Is There a Role of Survival Prediction Algorithms?
Périodique
Anesthesiology clinics
Auteur(s)
Radke O.C., Heim C.
ISSN
1932-2275 (Print)
ISSN-L
1932-2275
Statut éditorial
Publié
Date de publication
03/2019
Peer-reviewed
Oui
Volume
37
Numéro
1
Pages
1-11
Langue
anglais
Notes
Publication types: Journal Article ; Review
Publication Status: ppublish
Résumé
Monitoring the quality of trauma care is important but particularly challenging. Preventable death assessment aims to identify those cases where the patient's death would have not occurred if the patient had been treated differently. Determination of preventable death in trauma care is often based on calculated probability of survival, commonly by using the Trauma and Injury Severity Score (TRISS). TRISS is not suited for identifying all cases with opportunities for improvement. Combined with other methods such as morbidity and mortality conferences, however, it might be a valid approach if a complete review of all trauma deaths is not feasible at an institution.
Mots-clé
Algorithms, Humans, Injury Severity Score, Probability, Survival Analysis, Trauma Severity Indices, Wounds and Injuries/mortality, Benchmarking, Performance improvement, Preventable death, TRISS, Trauma
Pubmed
Création de la notice
25/03/2019 8:30
Dernière modification de la notice
20/08/2019 14:11
Données d'usage