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Prediction of Hospital Length Stay for Patients Undergoing Mastectomy.
D'Onofrio, Gaetano; D'Amore, Antonio; Onofaro, Filippina; Caputi, Emanuele; Napoli, Annalisa; Triassi, Maria; Marino, Marta Rosaria.
Afiliação
  • D'Onofrio G; A.O.R.N. "Antonio Cardarelli", Naples, Italy.
  • D'Amore A; A.O.R.N. "Antonio Cardarelli", Naples, Italy.
  • Onofaro F; A.O.R.N. "Antonio Cardarelli", Naples, Italy.
  • Caputi E; A.O.R.N. "Antonio Cardarelli", Naples, Italy.
  • Napoli A; A.O.R.N. "Antonio Cardarelli", Naples, Italy.
  • Triassi M; Department of Public Health, University of Naples "Federico II", Naples, Italy.
  • Marino MR; Interdepartmental Center for Research in Healthcare Management and Innovation in Healthcare (CIRMIS), University of Naples "Federico II", Naples, Italy.
Stud Health Technol Inform ; 305: 261-264, 2023 Jun 29.
Article em En | MEDLINE | ID: mdl-37387012
ABSTRACT
The prolonged length of stay is an important aspect to be considered for the healthcare management since this affect both the health-related expenditure of the hospital and the quality of the offered service. In the light of these consideration is important for hospitals to be able to predict the LOS of patients and to work on the principal aspect affecting it in order to reduce LOS as much as possible. In this work we focus on patients undergoing mastectomy. The data were collected form 989 patients who underwent mastectomy surgery in the Surgery Department of the AORN "A. Cardarelli" of Naples. Different models have been tested and characterized and the one with the best performance was identified.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias da Mama / Mastectomia Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias da Mama / Mastectomia Idioma: En Ano de publicação: 2023 Tipo de documento: Article