Modeling the process of attracting personnel to medical organizations providing medical care to the rural population.

A. O. Meshcheryakov
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Abstract

The shortage of medical specialists and their disproportionate distribution both across territories and specialties is a global health problem. According to the Russian Federal State Statistics Service, the shortage of medical personnel as of 2022 is 84.7 thousand people, of which 26.5 thousand are doctors; compared to 2021, the problem of shortage of nursing staff is less acute, but the shortage of doctors remains. An integral part of personnel policy is the process of retaining qualified specialists. The complex motivations of employees to stop or continue working in an organization interact with the personnel decisions of a healthcare organization, which in turn requires a joint study of both the characteristics of the employees and the characteristics of the organization. Purpose of the study is to model the process of attracting personnel to medical organizations providing medical care to the rural population. Materials and methods. Data on 151 students of targeted training who entered the Orenburg State Medical University in 2011 were studied. Using machine learning methods, a mathematical model was built that allows identifying students of targeted training with a higher probability of attraction to the medical organization. Results. The presented data set is unbalanced in terms of the target variable, since only 16.8% of students continued to work in the organization. Among all the options, the most optimal in cross-validation was the use of a decision tree using weights to balance the classes. All studied medical organizations can be divided into 3 groups: organizations with a low level of attraction of specialists, organizations with an average level of attraction of specialists and organizations with a high level of attraction of specialists. Based on the data obtained and analysis of publications, measures were proposed to improve the personnel policy of medical organizations of each type. Findings. Therefore, healthcare organizations have the opportunity to monitor the attraction process of targeted students through factors related to the characteristics of the organization, such as working conditions, reputation and image, career opportunities, and others.
建立吸引人才加入为农村人口提供医疗服务的医疗机构的模式。
医学专家的短缺以及他们在不同地区和不同专业之间的不均衡分布是一个全球性的健康问题。根据俄罗斯联邦国家统计局的数据,截至 2022 年,医疗人员的缺口为 8.47 万人,其中 2.65 万人是医生;与 2021 年相比,护理人员的短缺问题有所缓解,但医生的短缺问题依然存在。人事政策的一个组成部分是留住合格的专家。员工停止或继续在一个组织工作的复杂动机与医疗机构的人事决策相互影响,这反过来又要求对员工的特点和组织的特点进行共同研究。本研究的目的是模拟为农村人口提供医疗服务的医疗机构吸引人才的过程。材料和方法。研究了 2011 年进入奥伦堡国立医科大学的 151 名定向培养学生的数据。利用机器学习方法建立了一个数学模型,该模型可识别出被医疗机构吸引概率较高的定向培养学生。研究结果所提供的数据集在目标变量方面是不平衡的,因为只有 16.8%的学生继续在该机构工作。在所有方案中,交叉验证的最佳方案是使用权重决策树来平衡类别。所有研究的医疗机构可分为三组:对专家吸引力较低的机构、对专家吸引力一般的机构和对专家吸引力较高的机构。根据获得的数据和对出版物的分析,提出了改善各类医疗机构人事政策的措施。研究结果。因此,医疗机构有机会通过与机构特点相关的因素,如工作条件、声誉和形象、职业机会等,监测目标学生的吸引过程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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