医疗保险的优势在事先授权审查中使用人工智能变成了劣势
Sara Raza1, Sara Gerke2, Christina Silcox3
1Center for Health Law and Policy Innovation, Harvard Law School, Cambridge, MA, USA. sararaza@uw.edu.
NPJ digital medicine
|February 4, 2026
概括
医疗保险优势计划中的人工智能 (AI) 越来越多地拒绝覆盖,导致诉讼和提供商网络脱离. 对人工智能索赔决定的更大透明度对于公平的医疗保健系统至关重要.
科学领域:
- 医疗保健政策 医疗保健政策
- 医学中的人工智能
- 医疗保险管理 医疗保险管理
背景情况:
- 近年来,人工智能辅助的全面拒绝医疗保险的情况有所增加.
- 医疗保险优势计划尤其受到影响,面临着严重的反响.
- 这些否认导致了诉讼,国会调查和供应商网络磨损.
研究的目的:
- 为了突出医疗保险中人工智能驱动的索赔拒绝日益严重的问题.
- 为了强调不透明的AI决策过程的负面后果.
- 倡导提高AI医疗保健索赔裁决的透明度和公平性.
主要方法:
- 分析报告的AI辅助索赔拒绝事件.
- 检查保险公司所面临的后果,包括法律和监管行动.
- 对医疗保健提供者和患者获得护理的影响评估.
主要成果:
- 人工智能辅助全面拒绝的情况增加,特别是在医疗保险优势计划中.
- 针对使用这些人工智能工具的保险公司提出了重大批评和法律挑战.
- 侵蚀信任,并可能破坏提供商网络.
结论:
- 迫切需要提高用于索赔批准和拒绝的AI算法的透明度.
- 解决人工智能的作用对于减轻事先授权过程中供应商倦怠和患者负担至关重要.
- 改革医疗保健中的人工智能是必要的,以确保医疗保健系统的公平性和效率.
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