Healthcare scheduling in optimization context: a review

ZA Abdalkareem, A Amir, MA Al-Betar, P Ekhan… - Health and …, 2021 - Springer
This paper offers a summary of the latest studies on healthcare scheduling problems
including patients' admission scheduling problem, nurse scheduling problem, operation …

Operating room planning and scheduling for outpatients and inpatients: A review and future research

L Wang, E Demeulemeester, N Vansteenkiste… - Operations Research for …, 2021 - Elsevier
In hospitals, surgeries are treated either on an outpatient or on an inpatient basis.
Outpatients are normally routine patients that enter and leave the hospital on the same day …

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 …

Developing two heuristic algorithms with metaheuristic algorithms to improve solutions of optimization problems with soft and hard constraints: An application to nurse …

PS Chen, ZY Zeng - Applied Soft Computing, 2020 - Elsevier
Many researchers have studied optimization problems with soft and hard constraints, such
as school timetabling, nurse rostering, vehicle routing with soft time window, and …

How does the hospital make a safe and stable elective surgery plan during COVID-19 pandemic?

Z Dai, JJ Wang, JJ Shi - Computers & Industrial Engineering, 2022 - Elsevier
During the COVID-19 period, randomly arrived patients flooded into the hospital, which
caused staffing beds to be occupied. Then, elective surgeries could not be carried out timely …

A hybrid analytical model for an entire hospital resource optimisation

M Ordu, E Demir, S Davari - Soft Computing, 2021 - Springer
Given the escalating healthcare costs around the world (more than 10% of the world's GDP)
and increasing demand hospitals are under constant scrutiny in terms of managing services …

Efficient optimization algorithms for surgical scheduling under uncertainty

SC Tsai, Y Yeh, CY Kuo - European Journal of Operational Research, 2021 - Elsevier
In this paper, we develop a stochastic optimization model for a surgical scheduling problem
considering a single operating room. We arrange a set of elective surgeries into appropriate …

A column-generation-heuristic-based benders' decomposition for solving adaptive allocation scheduling of patients in operating rooms

MA Kamran, B Karimi, N Dellaert - Computers & Industrial Engineering, 2020 - Elsevier
This paper investigates the Adaptive Allocation Scheduling Problem with a modified block
scheduling policy, in which candidate patients have to be assigned and sequenced into …

Current trends in operating room scheduling 2015 to 2020: a literature review

S Harris, D Claudio - Operations Research Forum, 2022 - Springer
The operating room scheduling problem is a popular research topic due to its complexity
and relevance. Previous literature reviews established a useful classification system for …

A two-stage genetic artificial bee colony algorithm for solving integrated operating room planning and scheduling problem with capacity constraints of downstream …

A Tayyab, U Saif - IEEE Access, 2022 - ieeexplore.ieee.org
Operating room planning and scheduling significantly affect all hospital areas, including the
intensive care unit and downstream wards. Planning and scheduling operating rooms …