一种混合技术支持的金融导航模型,用于打击癌症护理中的金融毒性
Dinesh Pal Mudaranthakam1,2,3, Allison Makovec1, Rachel Forcino3
1The Department of Biostatistics & Data Science, University of Kansas Medical Center, Kansas City, KS, USA.
Cancer control : journal of the Moffitt Cancer Center
|October 8, 2025
概括
财务上的毒性阻碍了癌症的治疗. 在ONCO-NET平台使用人工智能和人类导航器连接患者与财务资源,改善治疗的准入和坚持.
科学领域:
- 在瘤学瘤学.
- 医疗信息学 医疗信息学
- 医疗保健服务研究 医疗服务研究
背景情况:
- 财务毒性是癌症护理的一个重要障碍,影响治疗坚持和生存率.
- 现有的经济和社会支持资源往往使患者难以获得和有效地导航.
研究的目的:
- 推出瘤导航授权治疗 (ONCO-NET) 平台,这是一个创新的混合干预,旨在解决癌症患者获得财政支持的挑战.
- 描述AI驱动的资源匹配系统与ONCO-NET平台内的以人为中心的金融导航支持的集成.
主要方法:
- 在ONCO-NET中,我们采用了结构化的招募流程,收集人口统计数据,慢性疾病治疗功能评估财务毒性综合评分 (FACIT-COST) 和健康的社会决定因素.
- 一个人工智能驱动的系统根据患者数据识别和优先考虑相关的当地资源.
- 该平台提供个性化的实时建议,并可访问受过培训的金融导航员.
主要成果:
- ONCO-NET平台有效地将人工智能技术与金融导航的人类专业知识相结合.
- 它提高了癌症患者的金融支持服务的可访问性,可扩展性和公平性.
结论:
- 该ONCO-NET混合方法显示了改善癌症治疗坚持和减少健康差异的潜力.
- 这种模型提供了一个可扩展的解决方案,用于管理癌症和其他慢性疾病的治疗费用.
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