Author
Bozkır, Cem Deniz Çağlar, Özmemiş, Çağrı, Kurbanzade, Ali Kaan, Koyuncu, Burcu Balçık, Gunes, E. D., Tuglular, S.
Publication Date
2023-01-01
Publication Place
-
Elsevier
Subject
COVID-19 pandemic, Hemodialysis, OR in health services, Patient cohorting, Stochastic programming
Type
Periodical
Language
English
Digital
Yes
Manuscript
No
Library
Özyeğin University
Library Asset ID
0377-2217
Record ID
f38b0b99-609d-40e5-8cdb-909c9e1a5d8f
Library Location
Industrial Engineering
Date
2023-01-01
Notes
AXA Research Fund
Sample Text
Planning treatments of different types of patients have become challenging in hemodialysis clinics during the COVID-19 pandemic due to increased demands and uncertainties. In this study, we address capacity planning decisions of a hemodialysis clinic, located within a major public hospital in Istanbul, which serves both infected and uninfected patients during the COVID-19 pandemic with limited resources (i.e., dialysis machines). The clinic currently applies a 3-unit cohorting strategy to treat different types of patients (i.e., uninfected, infected, suspected) in separate units and at different times to mitigate the risk of infection spread risk. Accordingly, at the beginning of each week, the clinic needs to allocate the available dialysis machines to each unit that serves different patient cohorts. However, given the uncertainties in the number of different types of patients that will need dialysis each day, it is a challenge to determine which capacity configuration would minimize the overlapping treatment sessions of different cohorts over a week. We represent the uncertainties in the number of patients by a set of scenarios and present a stochastic programming approach to support capacity allocation decisions of the clinic. We present a case study based on the real-world patient data obtained from the hemodialysis clinic to illustrate the effectiveness of the proposed model. We also compare the performance of different cohorting strategies with three and two patient cohorts.
DOI
10.1016/j.ejor.2021.10.039
Cilt
304
