Generalist medical AI reimbursement challenges and opportunities

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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Publication Details

Journal
npj Digital Medicine
Published
2025-02-26
DOI
https://doi.org/10.1038/s41746-025-01521-5
Citations
10
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
6.54
Controls
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article

Generalist medical AI reimbursement challenges and opportunities

Dylan Powell, Arjun Mahajan
10 citations
npj Digital Medicine
Artificial Intelligence in Healthcare and Education
6.54
article

Generalist medical AI reimbursement challenges and opportunities

Dylan Powell, Arjun Mahajan
article en
10 citations

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.

npj Digital MedicineVol. 8(1)
University of Stirling (GB), Harvard University (US)
Openalex Percentile: Top 4%
Artificial Intelligence in Healthcare and Education
6.54
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