在运营医疗预测中同步策略的系统模型
Arnesh Telukdarie1, Logistic Makoni1, R Raghunatha Sarma2
1Johannesburg Business School, University of Johannesburg, Johannesburg 2006, South Africa.
International journal of environmental research and public health
|February 26, 2025
概括
本研究提出了一个新的基于系统的框架,以优化低收入和中等收入国家 (LMICs) 的医疗保健管理和运营. 它整合了数字工具和人工智能,以提高质量和成本效益的护理服务.
科学领域:
- 医疗保健系统研究 医疗保健系统研究
- 公共卫生政策 公共卫生政策
- 医疗信息学 医疗信息学
背景情况:
- 低收入和中等收入国家 (LMICs) 的医疗保健服务面临重大挑战,原因是现有的模型不足,这些模型往往是分散的,缺乏整体的,系统思维的方法.
- 目前的医疗保健模式主要来自高收入国家,很少整合战略和运营视角,未能解决LMICs独特的复杂性.
- 在LMICs提供高质量,成本有效的医疗保健方面存在关键差距,这是由于在不同国家背景下同步数据和工具的困难造成的.
研究的目的:
- 用系统方法评估国际最佳实践,全球理论以及现有的医疗保健系统和工具.
- 提出一个定制的,基于系统的框架,用于建模和优化LMIC医疗保健的管理和运营方面.
- 利用数字工具,包括人工智能 (AI),分析和开发针对LMIC环境量身定制的先进,包容性的医疗保健框架.
主要方法:
- 对国际最佳实践和基本的全球医疗保健理论进行全面审查.
- 应用系统方法来分析现有的医疗保健系统和工具.
- 收集数据,开发一个定制的,综合的框架,整合数字工具和人工智能,以优化医疗保健.
主要成果:
- 识别不同LMICs的医疗保健过程中的共同点,尽管存在独特的发展挑战,但为优化提供了机会.
- 开发一个战略模型和初始数据量化,以指导创建一个全面的系统模型.
- 提出一个定制的,基于系统的框架,旨在整合LMIC医疗保健的管理和运营层.
结论:
- 拟议的框架为医疗保健提供提供了一种整体和同步的方法,解决了LMICs现有模型的局限性.
- 在这个框架内采用数字工具和人工智能可以显著提高医疗保健过程的分析,同化和调整.
- 这项研究对改变LMICs的医疗保健具有实际意义,可能通过优化系统改善获得,质量和成本效益.
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