Process data analytics for hospital case-mix planning.
Capacity assessment
Hospital case-mix planning
Process mining
Journal
Journal of biomedical informatics
ISSN: 1532-0480
Titre abrégé: J Biomed Inform
Pays: United States
ID NLM: 100970413
Informations de publication
Date de publication:
05 2022
05 2022
Historique:
received:
16
09
2021
revised:
11
03
2022
accepted:
14
03
2022
pubmed:
27
3
2022
medline:
11
5
2022
entrez:
26
3
2022
Statut:
ppublish
Résumé
The composition and volume of patients treated in a hospital, i.e., the patient case-mix, directly impacts resource utilisation. Despite advances in technology, existing case-mix planning approaches are mostly manual. In this paper, we report on a solution that was developed in collaboration with the Queensland Children's Hospital for supporting its case-mix planning using process mining. We investigated (1) How can process mining capabilities be used to inform hospital case-mix planning?, and (2) How can process data be used to assess hospital capacity assessment and inform hospital case-mix planning? The major contributions of this paper include (i) an automated workflow to support both process mining analysis, and capacity assessment, (ii) a process mining analysis designed to detect process performance and variations, and (iii) a novel capacity assessment model based on limiting-resource saturation.
Identifiants
pubmed: 35337944
pii: S1532-0464(22)00072-7
doi: 10.1016/j.jbi.2022.104056
pii:
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
104056Informations de copyright
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