在基于算法的医疗程序和服务时代，心脏 CT 的编码和覆盖范围。

IF 5.5 2区医学 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS

Journal of Cardiovascular Computed Tomography Pub Date : 2025-01-01 DOI:10.1016/j.jcct.2024.08.006

Cara Santillo , Kirsten Tullia , Richard A. Frank

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引用次数: 0

摘要

为了让患者从心脏 CT 的创新中获益，编码、覆盖范围和支付方式必须适应基于算法的医疗程序和服务 (ABHS) 的新颖性。CPT 代码集附录 S "人工智能分类标准 "允许创建离散和可区分的代码，用于报销经临床验证和 FDA 标记的 ABHS。OPPS 和 PFS 的支付政策正在不断演变，以考虑到 ABHS 临床应用所带来的独特机遇和问题。

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Coding and coverage for cardiac CT in the era of algorithm-based healthcare procedures and services

In order for patients to gain the benefit of innovation in cardiac CT, it is necessary for coding, coverage, and payment to adapt to the novelty of algorithm-based healthcare procedures and services (ABHS). Appendix S to the CPT Code Set, the “AI Taxonomy”, enables creation of discrete and differentiable codes for reimbursement of ABHS which has been clinically validated and FDA-labeled. Payment policy in OPPS and PFS is evolving to take account of the unique opportunities and issues arising from the clinical adoption of ABHS.

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来源期刊

Journal of Cardiovascular Computed Tomography CARDIAC & CARDIOVASCULAR SYSTEMS-RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

CiteScore

7.50

自引率

14.80%

发文量

212

审稿时长

40 days

期刊介绍： The Journal of Cardiovascular Computed Tomography is a unique peer-review journal that integrates the entire international cardiovascular CT community including cardiologist and radiologists, from basic to clinical academic researchers, to private practitioners, engineers, allied professionals, industry, and trainees, all of whom are vital and interdependent members of our cardiovascular imaging community across the world. The goal of the journal is to advance the field of cardiovascular CT as the leading cardiovascular CT journal, attracting seminal work in the field with rapid and timely dissemination in electronic and print media.