消费者健康信息学提前准确预防
Oliver J Canfell1,2, Leanna Woods3, Deborah Robins4
1Department of Nutritional Sciences, Faculty of Life Sciences and Medicine, King's College London, London SE1 9NH, United Kingdom.
Yearbook of medical informatics
|April 8, 2025
概括
消费者健康信息学 (CHI) 可以通过改善公共卫生,风险评估,早期检测和定制干预来推进慢性疾病的精确预防. 需要进一步的研究,以产生高质量的证据,将CHI整合到预测-预防医疗保健模型中.
科学领域:
- 消费者健康信息学 (CHI)
- 精确的预防方法.
- 公共卫生 公共卫生
- 慢性疾病管理 慢性疾病管理
背景情况:
- 传统的医疗模式是不可持续的.
- 消费者健康信息学 (CHI) 提供了向积极主动,个性化医疗保健的转变.
- 精确预防旨在减轻慢性疾病的全球负担.
研究的目的:
- 审查消费者健康信息学 (CHI) 如何推进精确预防.
- 探索CHI在公共卫生政策,个体风险评估,早期检测和定制干预方面的作用.
- 为消费者,研究人员和从业人员提供实践翻译的证据生成指南.
主要方法:
- 关于CHI用于精确预防的近期 (2018年以后) 干预研究的叙述综合.
- 对研究趋势,伦理考虑和未来方向的分析.
- 包括一个健康消费者共同作者为平衡的视角.
主要成果:
- 通过人口监测,预测建模 (机器学习),数字表型 (可穿戴设备,mHealth) 和个性化行为改变干预,CHI可以实现精确的预防.
- 关于CHI在改善健康结果方面的有效性的证据在案例研究中是混合的.
- 研究趋势强调包容性设计,数据治理和联合学习.
结论:
- 消费者健康信息化 (CHI) 和精确预防可以将医疗保健从反应性的"故障修复"转变为积极的"预测-预防"模型.
- 研究人员,从业者和消费者之间的强有力的伙伴关系至关重要.
- 通过强大的研究设计生成高质量的证据对于实践翻译至关重要.
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