Perioperative COVID-19 defense: an evidence-based approach for optimization of infection control and operating room management
We describe an evidence-based approach for optimization of infection control and operating
room management during the coronavirus disease 2019 (COVID-19) pandemic. Confirmed …
room management during the coronavirus disease 2019 (COVID-19) pandemic. Confirmed …
Healthcare scheduling in optimization context: a review
This paper offers a summary of the latest studies on healthcare scheduling problems
including patients' admission scheduling problem, nurse scheduling problem, operation …
including patients' admission scheduling problem, nurse scheduling problem, operation …
Machine learning based integrated scheduling and rescheduling for elective and emergency patients in the operating theatre
M Eshghali, D Kannan… - Annals of Operations …, 2024 - Springer
As the only largest source of revenue and cost in a hospital, the operation room (OR)
scheduling problem is a hot research topic. Nonetheless, an integrated model is the missing …
scheduling problem is a hot research topic. Nonetheless, an integrated model is the missing …
Predicting solutions of large-scale optimization problems via machine learning: A case study in blood supply chain management
Practical constrained optimization models are often large, and solving them in a reasonable
time is a challenge in many applications. Further, many industries have limited access to …
time is a challenge in many applications. Further, many industries have limited access to …
Planning and scheduling in healthcare for better care coordination: Current understanding, trending topics, and future opportunities
This study reviews the research on planning and scheduling in healthcare published in
Production and Operations Management (POM) and other prestigious operations …
Production and Operations Management (POM) and other prestigious operations …
A Review of the Healthcare-Management (Modeling) Literature Published in Manufacturing & Service Operations Management
P Keskinocak, N Savva - Manufacturing & Service …, 2020 - pubsonline.informs.org
Healthcare systems throughout the world are under pressure to widen access, improve
efficiency and quality of care, and reduce inequity. Achieving these conflicting goals requires …
efficiency and quality of care, and reduce inequity. Achieving these conflicting goals requires …
A comprehensive review and analysis of operating room and surgery scheduling
I Rahimi, AH Gandomi - Archives of Computational Methods in …, 2021 - Springer
A comprehensive review and analysis of operating room (OR) theatre scheduling problems
as well as a comparison of solution approaches along with suggestions for future studies are …
as well as a comparison of solution approaches along with suggestions for future studies are …
Machine learning for surgical time prediction
Abstract Background and Objective Operating Rooms (ORs) are among the most expensive
services in hospitals. A challenge to optimize the OR efficiency is to improve the surgery …
services in hospitals. A challenge to optimize the OR efficiency is to improve the surgery …
Combining workload balance and patient priority maximisation in operating room planning through hierarchical multi-objective optimisation
Previous analysis suggested the opportunity to consider the preferences of different
stakeholders (hospital, patients, doctors and nurses) through the adoption of both patient …
stakeholders (hospital, patients, doctors and nurses) through the adoption of both patient …
Operating room performance optimization metrics: a systematic review
AM Schouten, SM Flipse… - Journal of Medical …, 2023 - Springer
Literature proposes numerous initiatives for optimization of the Operating Room (OR).
Despite multiple suggested strategies for the optimization of workflow on the OR, its patients …
Despite multiple suggested strategies for the optimization of workflow on the OR, its patients …