Exploratory Clustering for Emergency Department Patients.

Algorithms Cluster Analysis Emergency Service, Hospital / organization & administration Hospitalization / statistics & numerical data Humans Patient Safety / standards Time Factors Triage / methods
Machine learning clustering emergency department hospital admission k-means unsupervised 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:
29 Jun 2022
Historique:
entrez: 1 7 2022
pubmed: 2 7 2022
medline: 6 7 2022
Statut: ppublish

Résumé

Emergency department (ED) overcrowding is an increasing global problem raising safety concerns for the patients. Elaborating an effective triage system that properly separates patients requiring hospital admission remains difficult. The objective of this study was to compare a clustering-related technique assignment of emergency department patients with the admission output using the k-means algorithm. Incorporating such a model into triage practice could theoretically shorten waiting times and reduce ED overcrowding.

Identifiants

DOI: 10.3233/SHTI220775 PMID: 35773921
pubmed: 35773921
pii: SHTI220775
doi: 10.3233/SHTI220775
doi:

Types de publication

Journal Article

Langues

eng

Pagination

503-506

Auteurs

Georgios Feretzakis (G)

School of Science and Technology, Hellenic Open University, Patras, Greece.
Department of Quality Control, Research and Continuing Education, Sismanogleio General Hospital, Marousi, Greece.

Aikaterini Sakagianni (A)

IT department, Sismanogleio General Hospital, Marousi, Greece.

Dimitris Kalles (D)

School of Science and Technology, Hellenic Open University, Patras, Greece.

Evangelos Loupelis (E)

Intensive Care Unit, Sismanogleio General Hospital, Marousi, Greece.

Lazaros Tzelves (L)

Second Department of Urology, Sismanogleio General Hospital, Marousi, Greece.

Vasileios Panteris (V)

Gastroenterology Department, Sismanogleio General Hospital, Marousi, Greece.

Rea Chatzikyriakou (R)

Hematology Laboratory, Sismanogleio General Hospital, Marousi, Greece.

Nikolaos Trakas (N)

Biochemistry Department, Sismanogleio General Hospital, Marousi, Greece.

Stavroula Kolokytha (S)

Emergency Department, Sismanogleio General Hospital, Marousi, Greece.

Polyxeni Batiani (P)

Emergency Department, Sismanogleio General Hospital, Marousi, Greece.

Zoi Rakopoulou (Z)

Administration, Sismanogleio General Hospital, Marousi, Greece.

Aikaterini Tika (A)

Administration, Sismanogleio General Hospital, Marousi, Greece.

Stavroula Petropoulou (S)

IT department, Sismanogleio General Hospital, Marousi, Greece.

Ilias Dalainas (I)

Administration, Sismanogleio General Hospital, Marousi, Greece.

Vasileios Kaldis (V)

Emergency Department, Sismanogleio General Hospital, Marousi, Greece.

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Classifications MeSH

questionsmedicales.fr › Sciences de l'information › Méthodologies informatiques › Algorithmes › Exploratory Clustering for Emergency...
questionsmedicales.fr › Environnement et santé publique › Santé publique › Méthodes épidémiologiques › Statistiques comme sujet › Analyse de regroupements › Exploratory Clustering for Emergency...
questionsmedicales.fr › Administration des services de santé › Organisation et administration › Administration d'établissement de santé › Administration hospitalière › Services hospitaliers › Service hospitalier d'urgences › Exploratory Clustering for Emergency...
questionsmedicales.fr › Établissements, main d'oeuvre et services de soins de santé › Services de santé › Soins aux patients › Hospitalisation › Exploratory Clustering for Emergency...
questionsmedicales.fr › Eucaryotes › Animaux › Chordés › Vertébrés › Mammifères › Eutheria › Primates › Haplorhini › Catarrhini › Hominidae › Humains › Exploratory Clustering for Emergency...
questionsmedicales.fr › Environnement et santé publique › Santé publique › Accidents › Prévention des accidents › Sécurité › Sécurité des patients › Exploratory Clustering for Emergency...
questionsmedicales.fr › Phénomènes physiques › Temps › Facteurs temps › Exploratory Clustering for Emergency...
questionsmedicales.fr › Établissements, main d'oeuvre et services de soins de santé › Services de santé › Services des urgences médicales › Triage › Exploratory Clustering for Emergency...