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- Title
Decision support through risk cost estimation in 30-day hospital unplanned readmission.
- Authors
Arnal, Laura; Pons-Suñer, Pedro; Navarro-Cerdán, J. Ramón; Ruiz-Valls, Pablo; Caballero Mateos, Mª Jose; Valdivieso Martínez, Bernardo; Perez-Cortes, Juan-Carlos
- Abstract
Unplanned hospital readmissions mean a significant burden for health systems. Accurately estimating the patient's readmission risk could help to optimise the discharge decision-making process by smartly ordering patients based on a severity score, thus helping to improve the usage of clinical resources. A great number of heterogeneous factors can influence the readmission risk, which makes it highly difficult to be estimated by a human agent. However, this score could be achieved with the help of AI models, acting as aiding tools for decision support systems. In this paper, we propose a machine learning classification and risk stratification approach to assess the readmission problem and provide a decision support system based on estimated patient risk scores.
- Subjects
PATIENT readmissions; DECISION support systems; DISEASE risk factors; STATISTICAL decision making
- Publication
PLoS ONE, 2022, Vol 17, Issue 7, p1
- ISSN
1932-6203
- Publication type
Article
- DOI
10.1371/journal.pone.0271331