通过设计通过伙伴关系和同情心来改善健康
Kee Chan1,2, Richard Sewell1,2
1Kee Chan, PhD, MBA,is an expert in designing models to evaluate improvement programs in population health and public health. Dr. Chan is the founder of ValueMinded, LLC, a public health consulting firm focused on maternal and child health issues and rare diseases.
Frontiers of health services management
|August 29, 2024
概括
精准医学的技术和机器学习是人口健康的关键,但不能单独解决健康的社会决定因素 (SDOH). 需要一种新的协作方法来创建可持续的社区健康解决方案.
科学领域:
- 公共卫生 公共卫生
- 卫生系统管理管理卫生系统管理
- 医疗保健创新 医疗保健创新
背景情况:
- 技术,精准医学和机器学习对于人口健康至关重要.
- 健康的社会决定因素 (SDOH) 和医疗保健机构结构存在持续的挑战.
- 传统的顺序性研究和评估过程往往会产生不可持续的健康计划结果.
研究的目的:
- 探索超越传统方法的替代方法来改善社区健康.
- 倡导在设计协作,以人民为导向的健康计划和政策方面进行范式转变.
- 突出设计思维在解决复杂的医疗保健结构和SDOH方面的潜力.
主要方法:
- 对当前医疗保健系统局限性的概念分析.
- 探索设计思维原则作为一种新的方法.
- 整合"公共卫生和卫生系统管理:人口健康视角" (即将发布) 的见解.
主要成果:
- 仅靠技术是不足以克服根深蒂固的社区健康问题.
- 一种以利益相关者为导向的协作方法对于整体解决方案至关重要.
- 设计思维为开发更有效和可持续的健康倡议提供了一个有希望的框架.
结论:
- 重新思考传统方法对于解决持续存在的健康问题至关重要.
- 采用设计思维可以促进创新,以社区为中心的健康解决方案.
- 伙伴关系和以人民为导向的重点是改善和维持人口健康的关键.
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