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

Kaushik P Venkatesh; Marium M Raza; James A Diao; Joseph C Kvedar

doi:10.1038/s41746-022-00662-1

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

NPJ Digit Med. 2022 Aug 10;5(1):112. doi: 10.1038/s41746-022-00662-1.

Authors

Kaushik P Venkatesh¹, Marium M Raza², James A Diao², Joseph C Kvedar²

Affiliations

¹ Harvard Medical School, Boston, MA, USA. kaushik_venkatesh@hms.harvard.edu.
² Harvard Medical School, Boston, MA, USA.

Abstract

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.

Publication types

Editorial