Generalist medical AI reimbursement challenges and opportunities

IF 15.1 1区 医学 Q1 HEALTH CARE SCIENCES & SERVICES NPJ Digital Medicine Pub Date : 2025-02-26 DOI:10.1038/s41746-025-01521-5
Arjun Mahajan, Dylan Powell
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Abstract

Generalist AI systems in healthcare can handle multiple complex clinical tasks, unlike narrow AI tools that perform isolated functions. However, current payment systems struggle to capture the value of these integrated capabilities. We examine potential solutions, including value-based and tiered structures, balancing innovation, equitable access, continuous performance evaluation, and cost-effectiveness to realize generalist AI’s transformative potential.

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综合医疗人工智能报销的挑战和机遇
医疗保健领域的通才人工智能系统可以处理多种复杂的临床任务,而不像执行孤立功能的狭窄人工智能工具。然而,目前的支付系统很难捕捉到这些集成功能的价值。我们研究了潜在的解决方案,包括基于价值和分层结构,平衡创新,公平获取,持续绩效评估和成本效益,以实现通才人工智能的变革潜力。
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来源期刊
CiteScore
25.10
自引率
3.30%
发文量
170
审稿时长
15 weeks
期刊介绍: npj Digital Medicine is an online open-access journal that focuses on publishing peer-reviewed research in the field of digital medicine. The journal covers various aspects of digital medicine, including the application and implementation of digital and mobile technologies in clinical settings, virtual healthcare, and the use of artificial intelligence and informatics. The primary goal of the journal is to support innovation and the advancement of healthcare through the integration of new digital and mobile technologies. When determining if a manuscript is suitable for publication, the journal considers four important criteria: novelty, clinical relevance, scientific rigor, and digital innovation.
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