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Scaling Adoption of Medical AI — Reimbursement from Value-Based Care and Fee-for-Service Perspectives

Published April 12, 2024
NEJM AI 2024;1(5)
DOI: 10.1056/AIpc2400083

Abstract

Sustainable reimbursement is key for medical artificial intelligence (AI) to benefit patients and populations at scale; however, achieving reimbursement is complex and requires the support of various stakeholders. We explain the roles of the different stakeholders and the extent to which reimbursement mechanisms, including fee-for-service and value-based care, align stakeholder interests and facilitate the scaling of medical AI adoption.

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Disclosure forms provided by the authors are available with the full text of this article.

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History

Submitted: January 22, 2024
Revised: February 14, 2024
Accepted: February 23, 2024
Published online: April 12, 2024
Published in issue: April 25, 2024

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Authors

Affiliations

Department of Ophthalmology and Visual Sciences, University of Iowa, Iowa City
Department of Electrical and Computer Engineering, University of Iowa, Iowa City
Digital Diagnostics, Coralville, IA
Carey Business School, Johns Hopkins University, Baltimore
Hopkins Business of Health Initiative, Johns Hopkins University, Baltimore
School of Nursing, Johns Hopkins University, Baltimore
Department of Biomedical Data Science, Stanford University, Stanford, CA
Department of Electrical Engineering, Stanford University, Stanford, CA
Department of Computer Science, Stanford University, Stanford, CA

Notes

Dr. Abramoff can be contacted at [email protected] or at Retina Service, Department of Ophthalmology and Visual Sciences, University of Iowa, 200 Hawkins Drive, IA 52242.

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