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

Michael D. Abramoff; Tinglong Dai; James Zou

doi:10.1056/AIpc2400083

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

Journal article

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

Michael D. Abramoff, Tinglong Dai and James Zou

NEJM AI, Vol.1(5)

04/25/2024

DOI: 10.1056/AIpc2400083

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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.

Details

Title: Subtitle: Scaling Adoption of Medical AI — Reimbursement from Value-Based Care and Fee-for-Service Perspectives
Creators: Michael D. Abramoff - University of Iowa
Tinglong Dai - Johns Hopkins University
James Zou - Stanford University
Resource Type: Journal article
Publication Details: NEJM AI, Vol.1(5)
DOI: 10.1056/AIpc2400083
ISSN: 2836-9386
Language: English
Date published: 04/25/2024
Academic Unit: Ophthalmology and Visual Sciences; Electrical and Computer Engineering; Fraternal Order of Eagles Diabetes Research Center
Record Identifier: 9984647960002771

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