5th Global Gastroenterology and Artificial Intelligence Summit (Live)

7 - Ashley

Pdf Summary

The document discusses the AI taxonomy for medical services and procedures, particularly in the context of the CPT code set. The taxonomy provides categories to classify AI applications in healthcare into assistive, augmentative, and autonomous. The goal of the taxonomy is to establish foundational definitions and provide understanding to stakeholders who are not AI experts. It is intended for CPT Editorial Panel members, advisors, innovators, payors, regulators, and medical professionals.<br /><br />The document explains each category in detail. Assistive AI refers to machines that detect clinically relevant data without analysis or generated conclusions and require physician interpretation and reporting. Augmentative AI involves machines that analyze and/or quantify data in a clinically meaningful way, also requiring interpretation and reporting by a healthcare professional. Autonomous AI refers to machines that automatically interpret data and generate clinically meaningful conclusions without concurrent involvement of a healthcare professional. There are three levels of autonomous AI, with varying degrees of involvement from healthcare professionals.<br /><br />The document also provides examples of AI applications in the CPT code set that fall under each category. It discusses the implementation of the AI taxonomy, including precedent examples for autonomous, augmentative, and assistive AI in the code set.<br /><br />Overall, the document aims to clarify the classification and understanding of AI applications in healthcare, particularly in the context of coding and billing.

Keywords

AI taxonomy

medical services

procedures

CPT code set

assistive AI

augmentative AI

autonomous AI

clinically relevant data

physician interpretation

coding