Reimbursement in the age of generalist radiology artificial intelligence.
expert_opinion · Level V
Where this comes from
- Record sourced from PubMed, PMID 39622981.
- Also identified by DOI 10.1038/s41746-024-01352-w and PMC identifier 11612271.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
Abstract
We argue that generalist radiology artificial intelligence (GRAI) challenges current healthcare reimbursement frameworks. Unlike narrow AI tools, GRAI's multi-task capabilities render existing pathways inadequate. This perspective examines key questions surrounding GRAI reimbursement, including issues of coding, valuation, and coverage policies. We aim to catalyze dialogue among stakeholders about how reimbursement might evolve to accommodate GRAI, potentially influencing AI reimbursement strategies in radiology and beyond.