Leveraging reimbursement strategies to guide value-based adoption and utilization of medical AI

With the increasing number of FDA-approved artificial intelligence (AI) systems, the financing of these technologies has become a primary gatekeeper to mass clinical adoption. Reimbursement models adapted for current payment schemes, including per-use rates, are feasible for early AI products. Alter...

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Autores principales: Venkatesh, Kaushik P., Raza, Marium M., Diao, James A., Kvedar, Joseph C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Editorial
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9364287/
https://www.ncbi.nlm.nih.gov/pubmed/35948612
http://dx.doi.org/10.1038/s41746-022-00662-1
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author Venkatesh, Kaushik P.
Raza, Marium M.
Diao, James A.
Kvedar, Joseph C.
author_facet Venkatesh, Kaushik P.
Raza, Marium M.
Diao, James A.
Kvedar, Joseph C.
author_sort Venkatesh, Kaushik P.
collection PubMed
description With the increasing number of FDA-approved artificial intelligence (AI) systems, the financing of these technologies has become a primary gatekeeper to mass clinical adoption. Reimbursement models adapted for current payment schemes, including per-use rates, are feasible for early AI products. Alternative and complementary models may offer future payment options for value-based AI. A successful reimbursement strategy will align interests across stakeholders to guide value-based and cost-effective improvements to care.
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spelling pubmed-93642872022-08-10 Leveraging reimbursement strategies to guide value-based adoption and utilization of medical AI Venkatesh, Kaushik P. Raza, Marium M. Diao, James A. Kvedar, Joseph C. NPJ Digit Med Editorial With the increasing number of FDA-approved artificial intelligence (AI) systems, the financing of these technologies has become a primary gatekeeper to mass clinical adoption. Reimbursement models adapted for current payment schemes, including per-use rates, are feasible for early AI products. Alternative and complementary models may offer future payment options for value-based AI. A successful reimbursement strategy will align interests across stakeholders to guide value-based and cost-effective improvements to care. Nature Publishing Group UK 2022-08-10 /pmc/articles/PMC9364287/ /pubmed/35948612 http://dx.doi.org/10.1038/s41746-022-00662-1 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Editorial
Venkatesh, Kaushik P.
Raza, Marium M.
Diao, James A.
Kvedar, Joseph C.
Leveraging reimbursement strategies to guide value-based adoption and utilization of medical AI
title Leveraging reimbursement strategies to guide value-based adoption and utilization of medical AI
title_full Leveraging reimbursement strategies to guide value-based adoption and utilization of medical AI
title_fullStr Leveraging reimbursement strategies to guide value-based adoption and utilization of medical AI
title_full_unstemmed Leveraging reimbursement strategies to guide value-based adoption and utilization of medical AI
title_short Leveraging reimbursement strategies to guide value-based adoption and utilization of medical AI
title_sort leveraging reimbursement strategies to guide value-based adoption and utilization of medical ai
topic Editorial
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9364287/
https://www.ncbi.nlm.nih.gov/pubmed/35948612
http://dx.doi.org/10.1038/s41746-022-00662-1
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