在PICU中实现SDoH资源公平,使用支持AI的患者导航器
Alina N West1, Arash Shaban-Nejad2
1Pediatric Critical Care Medicine Division, Department of Pediatrics, College of Medicine, University of Tennessee Health Science Center, Memphis, TN.
人工智能可以在儿科重症监护室 (PICU) 标准化健康数据收集的社会决定因素. 这有助于改善患者和提供者在创伤护理期间的资源导航.
科学领域:
- 儿科重症监护医药 儿科重症监护医药
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
背景情况:
- 儿科重症监护室 (PICU) 的创伤护理协调是复杂的,特别是在基于健康的社会决定因素 (SDoH) 个性化资源时.
- 住院期间不一致和分散的SDoH数据收集阻碍了患者和医疗保健提供者的有效资源配置和可用性.
- 现有的系统给医疗保健提供者带来了压力,需要创新的解决方案来有效地照顾患者.
研究的目的:
- 建议实施人工智能 (AI) 工具,以在 PICU 中标准化 SDoH 数据收集.
- 为了提高患者和提供者在创伤住院期间和之后的资源导航.
- 提高创伤护理协调的整体效率和有效性.
主要方法:
- 实施人工智能工具用于标准化SDoH数据收集.
- 使用RE-AIM框架进行评估.
- 评估工具和流程的覆盖范围,有效性,采用,实施和维护.
主要成果:
- 该研究旨在评估人工智能工具对SDoH数据标准化的覆盖范围和有效性.
- 将评估人工智能工具和整体流程的用户友好性.
- 将测量资源分配和利用的百分比,以确定影响.
结论:
- 人工智能工具为PICU中标准化SDoH数据提供了一个有希望的解决方案.
- 增强的资源导航可以改善创伤护理中的患者和提供者体验.
- 该RE-AIM框架提供了一个强大的方法来评估这些AI解决方案的实施.
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