Robotic surgery has become a common approach in urological procedures, offering several advantages such as reduced operative time, fewer complications, and shorter hospital stays. However, some patients still experience complications and longer hospital stays, which lead to increased costs and patient discomfort. This monocentric study aimed to identify factors that predict post-operative length of stay (LOS) in male patients undergoing robotic surgery in the urology unit of Cardarelli Hospital in Naples, Italy, between 2020 and 2022. The factors analyzed included age, pre-operative LOS, severity of illness, and mortality risk. The study found that age and severity of illness were the most important predictors of longer post-operative LOS. The study recommends that physicians and healthcare providers should consider these factors when developing strategies to improve outcomes for patients undergoing robotic surgery.
Predicting Post-Operative Length of Stay after Robotic Urologic Surgery from Hospital Stay Characteristics: A Monocentric Study / D'Amore, A.; D'Onofrio, G.; Fidecicchi, A.; Triassi, M.; Marino, M. R.. - (2023), pp. 188-191. (Intervento presentato al convegno 7th International Conference on Medical and Health Informatics, ICMHI 2023 tenutosi a jpn nel 2023) [10.1145/3608298.3608333].
Predicting Post-Operative Length of Stay after Robotic Urologic Surgery from Hospital Stay Characteristics: A Monocentric Study
D'Amore A.;D'Onofrio G.;Fidecicchi A.;Triassi M.;Marino M. R.
2023
Abstract
Robotic surgery has become a common approach in urological procedures, offering several advantages such as reduced operative time, fewer complications, and shorter hospital stays. However, some patients still experience complications and longer hospital stays, which lead to increased costs and patient discomfort. This monocentric study aimed to identify factors that predict post-operative length of stay (LOS) in male patients undergoing robotic surgery in the urology unit of Cardarelli Hospital in Naples, Italy, between 2020 and 2022. The factors analyzed included age, pre-operative LOS, severity of illness, and mortality risk. The study found that age and severity of illness were the most important predictors of longer post-operative LOS. The study recommends that physicians and healthcare providers should consider these factors when developing strategies to improve outcomes for patients undergoing robotic surgery.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.