Optimal Hospital Care Scheduling During the SARS-CoV-2 Pandemic

成果类型:
Article
署名作者:
D'Aeth, Josh C.; Ghosal, Shubhechyya; Grimm, Fiona; Haw, David; Koca, Esma; Lau, Krystal; Liu, Huikang; Moret, Stefano; Rizmie, Dheeya; Smith, Peter C.; Forchini, Giovanni; Miraldo, Marisa; Wiesemann, Wolfram
署名单位:
Imperial College London; Imperial College London; Imperial College London; Imperial College London; Imperial College London; Shanghai University of Finance & Economics; Umea University
刊物名称:
MANAGEMENT SCIENCE
ISSN/ISSBN:
0025-1909
DOI:
10.1287/mnsc.2023.4679
发表日期:
2023
页码:
5923-5947
关键词:
Covid care prioritization grouped weakly coupled dynamic programs fluid approximation
摘要:
The COVID-19 pandemic has seen dramatic demand surges for hospital care that have placed a severe strain on health systems worldwide. As a result, policy makers are faced with the challenge of managing scarce hospital capacity to reduce the backlog of non-COVID patients while maintaining the ability to respond to any potential future increases in demand for COVID care. In this paper, we propose a nationwide prioritization scheme that models each individual patient as a dynamic program whose states encode the patient's health and treatment condition, whose actions describe the available treatment options, whose transition probabilities characterize the stochastic evolution of the patient's health, and whose rewards encode the contribution to the overall objectives of the health system. The individual patients' dynamic programs are coupled through constraints on the available resources, such as hospital beds, doctors, and nurses. We show that the overall problem can be modeled as a grouped weakly coupled dynamic program for which we determine near-optimal solutions through a fluid approximation. Our case study for the National Health Service in England shows how years of life can be gained by prioritizing specific disease types over COVID patients, such as injury and poisoning, diseases of the respiratory system, diseases of the circulatory system, diseases of the digestive system, and cancer.