Development and implementation of an optimization model for the assignment of medical specialties in clinics: application of the Knapsack algorithm with a graphical interface in Python

Author:

Cruz Santiago González

Abstract

This project presents the development and application of an optimization model designed to allocate medical specialties to clinics based on a predefined schedule. By employing the Knapsack algorithm in Python, the model aims to optimize resource utilization within a medical environment, ensuring that the distribution of services is both efficient and effective. The model incorporates critical constraints such as clinic capacity and patient service demand, which are essential for balancing resources across various specialties. Furthermore, the model addresses potential scheduling conflicts, ensuring that no overlaps occur among different specialty professionals assigned to the same clinic. The integration of these constraints ensures that the allocation process is not only optimal but also practical for real-world implementation. The results demonstrate the potential of this approach to enhance operational efficiency, minimize resource wastage, and improve patient care by strategically managing the availability of specialized medical services across clinics. This model serves as a robust framework for healthcare organizations aiming to improve their resource management strategies.

Publisher

South Florida Publishing LLC

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3