Advance scheduling for chronic care under online or offline revisit uncertainty

X Shen, SC Du, YN Sun, PZH Sun… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Chronic disease patients often require revisits for long-term care. Online medical services
shift revisits to online, which can improve the access to chronic care and reduce the burden …

Integrated planning in hospitals: A review

S Rachuba, M Reuter-Oppermann, C Thielen - OR Spectrum, 2024 - Springer
Efficient planning of scarce resources in hospitals is a challenging task for which a large
variety of Operations Research and Management Science approaches have been …

Data-driven distributionally robust surgery planning in flexible operating rooms over a Wasserstein ambiguity

KS Shehadeh - Computers & Operations Research, 2022 - Elsevier
We study elective surgery planning in flexible operating rooms (ORs) where emergency
patients are accommodated in the existing elective surgery schedule. Specifically, elective …

Simulation-based emergency department staffing and scheduling optimization considering part-time work shifts

X Wang, A Matta, N Geng, L Zhou, Z Jiang - European Journal of …, 2025 - Elsevier
Emergency department (ED) physicians have long been in short supply, which causes
serious overcrowding and the excessive waiting of patients in many countries. ED managers …

A sequential follower refinement algorithm for robust surgery scheduling

A Bansal, JP Richard, BP Berg… - INFORMS Journal on …, 2024 - pubsonline.informs.org
An algorithm for the two-stage robust optimization surgery-to-operating room allocation
problem is presented. The second-stage problem is an integer linear program whose …

Two-stage distributionally robust optimization for joint system design and maintenance scheduling in high-consequence systems

H Zhang, YF Li, M Xie, C Zhang - IISE Transactions, 2024 - Taylor & Francis
The failures of high-consequence systems can cause serious harm to humans, including
loss of human health, life security, finance, and even social chaos. To protect high …

Dynamic multi-type patient advance scheduling for a diagnostic facility considering heterogeneous waiting time targets and equity

L Zhou, N Geng, Z Jiang, X Wang - IISE transactions, 2022 - Taylor & Francis
This article studies a dynamic advance scheduling problem where multi-type patients arrive
randomly to book the future service of a diagnostic facility in a public healthcare setting. The …

Stochastic optimization approaches for an operating room and anesthesiologist scheduling problem

MY Tsang, KS Shehadeh, FE Curtis… - Operations …, 2024 - pubsonline.informs.org
We propose combined allocation, assignment, sequencing, and scheduling problems under
uncertainty involving multiple operation rooms (ORs), anesthesiologists, and surgeries as …

Robust Operating Room Scheduling Model with Violation Probability Consideration under Uncertain Surgery Duration

Y Ma, K Liu, Z Li, X Chen - … Journal of Environmental Research and Public …, 2022 - mdpi.com
This paper proposes an operating room (OR) scheduling model to assign a group of next-
day patients to ORs while adhering to OR availability, priorities, and OR overtime …

Dynamic Integrated Online and Offline Advance Scheduling Under Multitype Revisit Demand Uncertainty

X Shen, J Lv, S Du, Y Deng, A Matta - Available at SSRN 4375063, 2023 - papers.ssrn.com
Internet healthcare provides a new access way for revisits through texts or videos, which can
lighten the service load on offline hospitals. In this study, we investigate the dynamic …