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A reimbursement framework for artificial intelligence in healthcare
npj Digital Medicine ( IF 12.4 ) Pub Date : 2022-06-09 , DOI: 10.1038/s41746-022-00621-w
Michael D Abràmoff 1, 2, 3 , Cybil Roehrenbeck 2, 4 , Sylvia Trujillo 5 , Juli Goldstein 3 , Anitra S Graves 6 , Michael X Repka 7 , Ezequiel Zeke Silva Iii 8, 9
Affiliation  

Responsible adoption of healthcare artificial intelligence (AI) requires that AI systems which benefit patients and populations, including autonomous AI systems, are incentivized financially at a consistent and sustainable level. We present a framework for analytically determining value and cost of each unique AI service. The framework’s processes involve affected stakeholders, including patients, providers, legislators, payors, and AI creators, in order to find an optimum balance among ethics, workflow, cost, and value as identified by each of these stakeholders. We use a real world, completed, an example of a specific autonomous AI service, to show how multiple “guardrails” for the AI system implementation enforce ethical principles. It can guide the development of sustainable reimbursement for future AI services, ensuring the quality of care, healthcare equity, and mitigation of potential bias, and thereby contribute to realize the potential of AI to improve clinical outcomes for patients and populations, improve access, remove disparities, and reduce cost.

中文翻译:

医疗保健中人工智能的报销框架

负责任地采用医疗保健人工智能 (AI) 要求有利于患者和人群的 AI 系统(包括自主 AI 系统)在财务上受到一致和可持续的激励。我们提出了一个框架,用于分析确定每个独特 AI 服务的价值和成本。该框架的流程涉及受影响的利益相关者,包括患者、提供者、立法者、支付者和人工智能创造者,以便在每个利益相关者确定的道德、工作流程、成本和价值之间找到最佳平衡。我们使用一个已完成的真实世界,一个特定自主 AI 服务的示例,来展示 AI 系统实施的多个“护栏”如何执行道德原则。它可以指导未来人工智能服务的可持续报销发展,确保护理质量,
更新日期:2022-06-09
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