Pharmaceutical Decision Support System ...
Document type :
Article dans une revue scientifique: Article original
DOI :
PMID :
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Title :
Pharmaceutical Decision Support System Using Machine Learning to Analyze and Limit Drug-Related Problems in Hospitals.
Author(s) :
Ben Othman, Sarah [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Décaudin, Bertrand [Auteur]
Groupe de Recherche sur les formes Injectables et les Technologies Associées (GRITA) - ULR 7365
Odou, Pascal [Auteur]
Groupe de Recherche sur les formes Injectables et les Technologies Associées (GRITA) - ULR 7365
Rousselière, C. [Auteur]
Centre Hospitalier Régional Universitaire [CHU Lille] [CHRU Lille]
Cousein, E. [Auteur]
Centre Hospitalier Régional Universitaire [CHU Lille] [CHRU Lille]
Hammadi, Slim [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Décaudin, Bertrand [Auteur]
Groupe de Recherche sur les formes Injectables et les Technologies Associées (GRITA) - ULR 7365
Odou, Pascal [Auteur]
Groupe de Recherche sur les formes Injectables et les Technologies Associées (GRITA) - ULR 7365
Rousselière, C. [Auteur]
Centre Hospitalier Régional Universitaire [CHU Lille] [CHRU Lille]
Cousein, E. [Auteur]
Centre Hospitalier Régional Universitaire [CHU Lille] [CHRU Lille]
Hammadi, Slim [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Journal title :
Studies in Health Technology and Informatics
Abbreviated title :
Stud Health Technol Inform
Volume number :
310
Pages :
1593-1597
Publisher :
IOS Press
Publication date :
2024-03-01
ISSN :
1879-8365
HAL domain(s) :
Sciences du Vivant [q-bio]
English abstract : [en]
The health product circuit corresponds to the chain of steps that a medicine goes through in hospital, from prescription to administration. The safety and regulation of all the stages of this circuit are major issues to ...
Show more >The health product circuit corresponds to the chain of steps that a medicine goes through in hospital, from prescription to administration. The safety and regulation of all the stages of this circuit are major issues to ensure the safety and protect the well-being of hospitalized patients. In this paper we present an automatic system for analyzing prescriptions using Artificial Intelligence (AI) and Machine Learning (ML), with the aim of ensuring patient safety by limiting the risk of prescription errors or drug iatrogeny. Our study is made in collaboration with Lille University Hospital (LUH). We exploited the MIMIC-III (Medical Information Mart for Intensive Care) a large, single-center database containing information corresponding to patients admitted to critical care units at a large tertiary care hospital.Show less >
Show more >The health product circuit corresponds to the chain of steps that a medicine goes through in hospital, from prescription to administration. The safety and regulation of all the stages of this circuit are major issues to ensure the safety and protect the well-being of hospitalized patients. In this paper we present an automatic system for analyzing prescriptions using Artificial Intelligence (AI) and Machine Learning (ML), with the aim of ensuring patient safety by limiting the risk of prescription errors or drug iatrogeny. Our study is made in collaboration with Lille University Hospital (LUH). We exploited the MIMIC-III (Medical Information Mart for Intensive Care) a large, single-center database containing information corresponding to patients admitted to critical care units at a large tertiary care hospital.Show less >
Language :
Anglais
Audience :
Internationale
Popular science :
Non
Administrative institution(s) :
Université de Lille
CHU Lille
CHU Lille
Collections :
Submission date :
2024-03-20T22:02:49Z
2024-05-22T08:29:29Z
2024-05-22T08:29:29Z
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