走向多重健康:整合复杂性,规范性和开放科学
Junaid Qadir1, Diana Maddah2, M Walid Qoronfleh3
1College of Engineering, Qatar University, Doha, Qatar.
Frontiers in psychology
|September 24, 2025
概括
多重健康 (MH) 框架通过整合精神和关系维度,为人口健康管理 (PHM) 提供了一种新的方法. 这种关键复杂性模型以整体的方式解决了健康问题,超越了减少主义范式.
科学领域:
- 整合性健康 整合性健康
- 复杂性科学 复杂性科学
- 人口健康管理 人口健康管理
背景情况:
- 当前的医疗保健模式依赖于线性因果关系和减少主义,未能解决整体健康维度.
- 需要框架,将健康的体验,关系和精神方面纳入其中,特别是在不确定性之中.
研究的目的:
- 引入多重健康 (MH) 框架,作为传统医疗保健模式的替代方案.
- 通过心理健康案例研究,证明 MH 在人口健康管理 (PHM) 中的适用性.
主要方法:
- 植根于批判性复杂性理论,多重体本体学和认识论.
- 整合了六个核心原则:多重本体学,多重认识论,多元化建模,关键复杂性,三角科学和比较多重伦理.
- 采用一个案例研究方法,专注于PHM内的心理健康.
主要成果:
- MH提供了一个基础框架,以推进PHM的前沿行为,伦理和概念维度.
- 该框架可以应对复杂性,增强关系关怀,并扩大幸福感,超越了简约主义观点.
- 一个心理健康案例研究说明了MH在复杂健康场景中的实际应用.
结论:
- 多重健康框架为精确健康和人工智能中的缩小主义模型提供了一个全面的替代方案.
- MH主张"两者兼而有之"的逻辑,在健康管理中接受不确定性,多样性和上下文细微差别.
- 这种方法促进了对健康和福祉的更完整和关系理解.
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