AIMC Topic: Length of Stay

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Real-time prediction of inpatient length of stay for discharge prioritization.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: Hospitals are challenged to provide timely patient care while maintaining high resource utilization. This has prompted hospital initiatives to increase patient flow and minimize nonvalue added care time. Real-time demand capacity managemen...

Machine learning in burn care and research: A systematic review of the literature.

Burns : journal of the International Society for Burn Injuries
BACKGROUND: To date, there are no reviews on machine learning (ML) in burn care. Considering the growth of ML in medicine and the complexities and challenges of burn care, this review specializes on ML applications in burn care. The objective was to ...

Robotic retroperitoneal lymph node dissection in gynaecological neoplasms: comparison of extraperitoneal and transperitoneal lymphadenectomy.

Archives of gynecology and obstetrics
OBJECTIVE: The main aim of our study is to review the till now available literature data on the role of robotic retroperitoneal lymph node dissection in gynaecological cancers by comparing the extraperitoneal versus the transperitoneal approach.

Laparoscopic and robot-assisted hysterectomy for uterine cancer: a comparison of costs and complications.

American journal of obstetrics and gynecology
OBJECTIVE: Increasingly, robotic surgery is being used for total hysterectomy, bilateral salpingo-oophorectomy, and lymph node dissection for uterine cancer. The purpose of this study was to compare the costs and complications among women undergoing ...

MILS in a general surgery unit: learning curve, indications, and limitations.

Updates in surgery
Minimally invasive liver surgery (MILS) is going to be a method with a wide diffusion even in general surgery units. Organization, learning curve effect, and the environment are crucial issues to evaluate before starting a program of minimally invasi...

Predicting length of stay after robotic partial nephrectomy.

International urology and nephrology
INTRODUCTION: To investigate factors predictive of length of stay (LOS) after robotic partial nephrectomy (RPN) in an effort to identify patients suitable for RPN with overnight stay at outpatient surgical facilities.

Salvage robot assisted radical prostatectomy: A propensity matched study of perioperative, oncological and functional outcomes.

European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology
BACKGROUND: To report the perioperative, functional and oncological outcomes of salvage robot-assisted laparoscopic prostatectomy (s-RARP) in a propensity score-matched analysis.

The use of artificial neural networks to predict delayed discharge and readmission in enhanced recovery following laparoscopic colorectal cancer surgery.

Techniques in coloproctology
BACKGROUND: Artificial neural networks (ANNs) can be used to develop predictive tools to enable the clinical decision-making process. This study aimed to investigate the use of an ANN in predicting the outcomes from enhanced recovery after colorectal...