Modeling Hospital Stay for Patients with Kidney Cancer

With its rapid course and dismal prognosis, kidney cancer poses serious oncology issues. The only therapy that may be curative is surgical resection, although this procedure has significant morbidity and necessitates meticulous postoperative care. After surgery, the duration of hospital stay (LOS) is a crucial indicator of clinical results and resource use. Understanding the variables that contribute to prolonged hospital stays is crucial for improving patient care since both organizational and patient-related factors can have a major impact on LOS. This work employs a data-driven approach to examine factors impacting LOS following surgery. Results show that illness severity plays the most significant role in contributing to the increased LOS, therefore posing serious concerns on how to implement strategies to reduce waiting lists and on-time as well as early diagnosis of the disease in order to make appropriate and rapid intervention to both reduce the LOS and improve the healthcare outcome.

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Publication Details

Journal
Studies in health technology and informatics
Published
2025-04-08
DOI
https://doi.org/10.3233/shti250095
Primary Topic
Renal cell carcinoma treatment
Type
article
Field-Weighted Citation Impact
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article

Modeling Hospital Stay for Patients with Kidney Cancer

Maria Triassi, Andrea Fidecicchi, Antonio D’Amore, Maria De Francesco
Studies in health technology and informatics
Renal cell carcinoma treatment
article

Modeling Hospital Stay for Patients with Kidney Cancer

Maria Triassi, Andrea Fidecicchi, Antonio D’Amore, Maria De Francesco
article en

Abstract

With its rapid course and dismal prognosis, kidney cancer poses serious oncology issues. The only therapy that may be curative is surgical resection, although this procedure has significant morbidity and necessitates meticulous postoperative care. After surgery, the duration of hospital stay (LOS) is a crucial indicator of clinical results and resource use. Understanding the variables that contribute to prolonged hospital stays is crucial for improving patient care since both organizational and patient-related factors can have a major impact on LOS. This work employs a data-driven approach to examine factors impacting LOS following surgery. Results show that illness severity plays the most significant role in contributing to the increased LOS, therefore posing serious concerns on how to implement strategies to reduce waiting lists and on-time as well as early diagnosis of the disease in order to make appropriate and rapid intervention to both reduce the LOS and improve the healthcare outcome.

Studies in health technology and informaticsVol. 323
Ospedale Antonio Cardarelli (IT), University of Naples Federico II (IT)
Openalex Percentile: Top 86%
Renal cell carcinoma treatment
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