AIMC Topic: Length of Stay
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Surgical scheduling via optimization and machine learning with long-tailed data : Health care management science, in press.
Health care management science
Sep 4, 2023
Using data from cardiovascular surgery patients with long and highly variable post-surgical lengths of stay (LOS), we develop a modeling framework to reduce recovery unit congestion. We estimate the LOS and its probability distribution using machine ...
Robot-assisted radical nephrectomy using novel surgical robot platform, hinotori: Report of initial series of 13 cases.
International journal of urology : official journal of the Japanese Urological Association
Sep 1, 2023
OBJECTIVES: The aims of the present study were to describe the perioperative findings of the first series of patients undergoing robot-assisted radical nephrectomy (RARN) with a newly launched platform, the hinotori surgical robot system, and compare...
Cohort profile for development of machine learning models to predict healthcare-related adverse events (Demeter): clinical objectives, data requirements for modelling and overview of data set for 2016-2018.
BMJ open
Aug 17, 2023
PURPOSE: In-hospital health-related adverse events (HAEs) are a major concern for hospitals worldwide. In high-income countries, approximately 1 in 10 patients experience HAEs associated with their hospital stay. Estimating the risk of an HAE at the ...
Using machine learning to estimate health spillover effects.
The European journal of health economics : HEPAC : health economics in prevention and care
Aug 6, 2023
We develop a nonparametric model to study health spillover effects of policy interventions. We use double/debiased machine learning to estimate the model using data from 74 hospitals in Rio de Janeiro, Brazil, and examine cross-patient spillover effe...
Robot-assisted versus laparoscopic living donor nephrectomy: superior outcomes after completion of the learning curve.
Journal of robotic surgery
Aug 2, 2023
The use of robots in donor nephrectomy has increased in recent years. However, whether robot-assisted methods have better outcomes than traditional laparoscopic methods and how surgical experience influences these outcomes remains unclear. This meta-...
Efficacy of robot-assisted vs. laparoscopy surgery in the treatment of colorectal cancer: A systematic review and meta-analysis.
Clinics and research in hepatology and gastroenterology
Jul 15, 2023
PURPOSE: To compare the efficacy of robot-assisted colorectal surgery (RACS) vs. laparoscopic-assisted colorectal surgery (LACS) in the treatment of colorectal cancer (CRC).
Health system-scale language models are all-purpose prediction engines.
Nature
Jun 7, 2023
Physicians make critical time-constrained decisions every day. Clinical predictive models can help physicians and administrators make decisions by forecasting clinical and operational events. Existing structured data-based clinical predictive models ...
Analysis of Clinical Outcomes After Robotic Hepatectomy Applying the Western-Model Southampton Laparoscopic Difficulty Scoring System. An Experience From a Tertiary US Hepatobiliary Center.
The American surgeon
Jun 2, 2023
BACKGROUND: Identification of resections with high risk of intraoperative complications is critical in guiding case selection for minimally invasive liver surgery. Several Japanese and European difficulty scoring systems have been proposed for laparo...
Short-term outcomes between robot-assisted and open pancreaticoduodenectomy in patients with high body mass index: A propensity score matched study.
Cancer medicine
May 31, 2023
BACKGROUND: High body mass index was considered as a risk factor for minimally invasive surgery. The short-term outcomes of robot-assisted pancreaticoduodenectomy (RPD) remain controversial. This study aims to investigate the feasibility and advantag...
Robotic Versus Laparoscopic Major Hepatectomy: Conversion and Ability to Rescue.
Annals of surgical oncology
May 23, 2023
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