Detecting Severe Incidents from Electronic Medical Records Using Machine Learning Methods.
Safety management
medical records
supervised machine learning
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:
16 Jun 2020
16 Jun 2020
Historique:
entrez:
24
6
2020
pubmed:
24
6
2020
medline:
21
8
2020
Statut:
ppublish
Résumé
The goal of this research was to design a solution to detect non-reported incidents, especially severe incidents. To achieve this goal, we proposed a method to process electronic medical records and automatically extract clinical notes describing severe incidents. To evaluate the proposed method, we implemented a system and used the system. The system successfully detected a non-reported incident to the safety management department.
Identifiants
pubmed: 32570602
pii: SHTI200385
doi: 10.3233/SHTI200385
doi:
Types de publication
Journal Article
Langues
eng