PRESENTED A FRAMEWORK OF COMPUTATIONAL MODELING TO IDENTIFY THE SCHEDULING PROBLEMS IN THE HEALTHCARE SECTOR
DOI:
https://doi.org/10.17605/OSF.IO/TYRJ2Abstract
This study summarizes the most recent research on health care scheduling issues, including patient scheduling admissions challenge scheduling of nurses challenge, operating scheduling of rooms challenge, surgical scheduling challenge, and other health care scheduling issues. I give. This study provides an overview of healthcare planning, emphasizing research on planning problems in the recent healthcare sector. The development of applied research in health care design has a vital role in cost optimization and flow of patients, in providing rapid provided treatment and optimum resource utilization and available in healthcare facilities. In recent decades, healthcare scheduling methods have improved significantly. They have been increasingly used, using meta-methods to automate determining hospitals' optimal resource management strategy. However, the reported results decompose because they solve each specific challenge independently, as many versions of the challenge definition and different datasets are available for each of these issues. Therefore, this study incorporates the existing results by conducting an overview and analyzing 190 significant challenges of the hospital sector in Iran in 2021 based on four critical elements for Defining and resolving optimization problems, formulation, data set. And methods.