评估一个数字技术支持的社区儿童健康计划在印度使用社会回报投资框架
Manasi Patil1, Athar Qureshi2, Elina Naydenova1
1Feebris Ltd, Saffron Walden, United Kingdom.
PLOS digital health
|November 1, 2023
概括
孟买的一项数字健康计划通过赋予社区卫生工作者人工智能工具来改善儿童医疗保健的准入. 这一举措显著减少了城市贫困家庭住院和医疗保健费用.
科学领域:
- 数字健康干预措施 数字健康干预措施
- 儿童健康管理儿童健康管理
- 公共卫生技术 公共卫生技术
背景情况:
- 每年有数百万五岁以下的儿童死亡,撒哈拉以南非洲和南亚的死亡率很高.
- 孟买的城市贫困人口在获得医疗保健方面面临重大障碍,导致儿童健康状况不佳.
- 现有的医疗保健系统往往在能力上扎,需要创新的社区解决方案.
研究的目的:
- 在孟买实施和评估一个基于数字技术的儿童健康计划.
- 评估人工智能驱动的移动健康平台对社区儿童医疗保健的整体影响.
- 确定实施的健康技术的社会投资回报率 (SROI).
主要方法:
- 开发一个人工智能驱动的移动健康平台,用于基于社区的儿童健康管理.
- 利用社区卫生工作者 (CHW) 加强分拣,转诊和社区层面的护理.
- 使用社会投资回报 (SROI) 框架评估计划的影响.
主要成果:
- 增加了社区治疗疾病发作的比例,从4%增加到76%.
- 医院住院和医疗保健支出大幅减少.
- 实现了13的社会投资回报率 (INR 34,435,827 INR 2,632,271投资的社会回报率).
结论:
- 人工智能驱动的决策支持工具可以有效地提高社区卫生工作者的技能,扩大医疗保健能力.
- 技术支持的干预措施对于加强服务不足社区的医疗保健服务至关重要.
- 该研究提供了一个模型,用于评估医疗技术使用基于证据的工具,如SROI,适用于收入设置.
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