Developing current procedural terminology codes that describe the work performed by machines

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作者
Richard A. Frank
Robert Jarrin
Jordan Pritzker
Michael D. Abramoff
Michael X. Repka
Pat D. Baird
S. Marlene Grenon
Megan Ruth Mahoney
John E. Mattison
Ezequiel Silva
机构
[1] American Medical Association,American Medical Association’s Digital Medicine Payment Advisory Group (DMPAG) AI Workgroup
[2] Frank Healthcare Advisors,undefined
[3] LLC,undefined
[4] The Omega Concern,undefined
[5] LLC,undefined
[6] CVS/Aetna,undefined
[7] Inc.,undefined
[8] University of Iowa,undefined
[9] Digital Diagnostics,undefined
[10] Inc,undefined
[11] Johns Hopkins University School of Medicine,undefined
[12] Philips,undefined
[13] University of California San Francisco,undefined
[14] Innovation Ventures,undefined
[15] University of California San Francisco,undefined
[16] Arsenal Capital Partners,undefined
[17] South Texas Radiology Group,undefined
[18] UT Health San Antonio,undefined
[19] Long School of Medicine,undefined
[20] Department of Radiology,undefined
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摘要
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.
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