Avoiding Financial Toxicity for Patients from Clinicians’ Use of AI

IF 96.2 1区医学 Q1 MEDICINE, GENERAL & INTERNAL

New England Journal of Medicine Pub Date : 2024-09-28 DOI:10.1056/nejmp2406135

Sneha S. Jain, Michelle M. Mello, and Nigam H. Shah From the Division of Cardiovascular Medicine and the Cardiovascular Institute, Stanford University (S.S.J.), the Departments of Health Policy (M.M.M.), Medicine (N.H.S.), and Biomedical Data Science (N.H.S.) and the Clinical Excellence Research Center (N.H.S.), Stanford University School of Medicine, and Stanford Law School (M.M.M.) — all in Stanford, CA.

引用次数: 0

Abstract

When AI tools recommend confirmatory diagnostic testing, patients may face new financial burdens if these recommendations are followed by their clinicians but not yet reflected in insurance policies.

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避免临床医生使用人工智能对患者造成经济损失

当人工智能工具建议进行确证诊断检测时，如果临床医生遵循了这些建议，但保险政策尚未反映出来，患者可能会面临新的经济负担。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

New England Journal of Medicine 医学-医学：内科

CiteScore

145.40

自引率

0.60%

发文量

1839

审稿时长

1 months

期刊介绍： The New England Journal of Medicine (NEJM) stands as the foremost medical journal and website worldwide. With an impressive history spanning over two centuries, NEJM boasts a consistent publication of superb, peer-reviewed research and engaging clinical content. Our primary objective revolves around delivering high-caliber information and findings at the juncture of biomedical science and clinical practice. We strive to present this knowledge in formats that are not only comprehensible but also hold practical value, effectively influencing healthcare practices and ultimately enhancing patient outcomes.