To pay or not to pay for artificial intelligence applications in radiology

Artificial Intelligence-supported digital applications (AI applications) are expected to transform radiology. However, providers need the motivation and incentives to adopt these technologies. For some radiology AI applications, the benefits of the application itself may sufficiently serve as the in...

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Bibliographic Details
Published in:NPJ digital medicine 2023-06, Vol.6 (1), p.117-117, Article 117
Main Authors: Lobig, Franziska, Subramanian, Dhinagar, Blankenburg, Michael, Sharma, Ankur, Variyar, Archana, Butler, Oisin
Format: Article
Language:English
Subjects:
692/700/1421
692/700/1538
Artificial intelligence
Biomedicine
Biotechnology
Comment
Health care expenditures
Incentives
Medicine
Medicine & Public Health
Radiology
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Summary:Artificial Intelligence-supported digital applications (AI applications) are expected to transform radiology. However, providers need the motivation and incentives to adopt these technologies. For some radiology AI applications, the benefits of the application itself may sufficiently serve as the incentive. For others, payers may have to consider reimbursing the AI application separate from the cost of the underlying imaging studies. In such circumstances, it is important for payers to develop a clear set of criteria to decide which AI applications should be paid for separately. In this article, we propose a framework to help serve as a guide for payers aiming to establish such criteria and for technology vendors developing radiology AI applications. As a rule of thumb, we propose that radiology AI applications with a clinical utility must be reimbursed separately provided they have supporting evidence that the improved diagnostic performance leads to improved outcomes from a societal standpoint, or if such improved outcomes can reasonably be anticipated based on the clinical utility offered.
ISSN:2398-6352
2398-6352
DOI:10.1038/s41746-023-00861-4