Journal article
Developing current procedural terminology codes that describe the work performed by machines
NPJ digital medicine, Vol.5(1), pp.177-177
12/03/2022
DOI: 10.1038/s41746-022-00723-5
PMCID: PMC9719561
PMID: 36463327
Abstract
The “Taxonomy of Artificial Intelligence for Medical Services and Procedures” became part of the Current Procedural Terminology (CPT®) code set effective January 1, 2022. It provides a framework for discrete and differentiable CPT codes which; are consistent with the features of the devices’ output, characterize interaction between the device and the physician or other qualified health care professional, and foster appropriate payment. Descriptors include “Assistive”, “Augmentative”, and “Autonomous”. As software increasingly augments the provision of medical services the taxonomy will foster consistent language in coding enabling patient, provider, and payer access to the benefits of innovation.
Details
- Title: Subtitle
- Developing current procedural terminology codes that describe the work performed by machines
- Creators
- Richard A. Frank - American Medical AssociationRobert Jarrin - American Medical AssociationJordan Pritzker - American Medical AssociationMichael D. Abramoff - University of IowaMichael X. Repka - American Medical AssociationPat D. Baird - American Medical AssociationS. Marlene Grenon - Chicago, IL USA San Francisco, CA USAMegan Ruth Mahoney - American Medical AssociationJohn E. Mattison - American Medical AssociationEzequiel Silva - American Medical Association
- Resource Type
- Journal article
- Publication Details
- NPJ digital medicine, Vol.5(1), pp.177-177
- DOI
- 10.1038/s41746-022-00723-5
- PMID
- 36463327
- PMCID
- PMC9719561
- NLM abbreviation
- NPJ Digit Med
- eISSN
- 2398-6352
- Publisher
- Nature Publishing Group UK
- Language
- English
- Date published
- 12/03/2022
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Electrical and Computer Engineering; Fraternal Order of Eagles Diabetes Research Center; Ophthalmology and Visual Sciences
- Record Identifier
- 9984333013202771
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