Primary care provider perspectives on the value of opportunistic CT screening

IF 1.8 4区 医学 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Adam E.M. Eltorai , Suzannah E. McKinney , Marcio A.B.C. Rockenbach , Saby Karuppiah , Bernardo C. Bizzo , Katherine P. Andriole
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引用次数: 0

Abstract

Background

Clinical adoption of AI applications requires stakeholders see value in their use. AI-enabled opportunistic-CT-screening (OS) capitalizes on incidentally-detected findings within CTs for potential health benefit. This study evaluates primary care providers' (PCP) perspectives on OS.

Methods

A survey was distributed to US Internal and Family Medicine residencies. Assessed were familiarity with AI and OS, perspectives on potential value/costs, communication of results, and technology implementation.

Results

62 % of respondents (n = 71) were in Family Medicine, 64.8 % practiced in community hospitals. Although 74.6 % of respondents had heard of AI/machine learning, 95.8 % had little-to-no familiarity with OS. The majority reported little-to-no trust in AI. Reported concerns included AI accuracy (74.6 %) and unknown liability (73.2 %). 78.9 % of respondents reported that OS applications would require radiologist oversight. 53.5 % preferred OS results be included in a separate “screening” section within the Radiology report, accompanied by condition risks and management recommendations. The majority of respondents reported results would likely affect clinical management for all queried applications, and that atherosclerotic cardiovascular disease risk, abdominal aortic aneurysm, and liver fibrosis should be included within every CT report regardless of reason for examination. 70.5 % felt that PCP practices are unlikely to pay for OS. Added costs to the patient (91.5 %), the healthcare provider (77.5 %), and unknown liability (74.6 %) were the most frequently reported concerns.

Conclusion

PCP preferences and concerns around AI-enabled OS offer insights into clinical value and costs. As AI applications grow, feedback from end-users should be considered in the development of such technology to optimize implementation and adoption. Increasing stakeholder familiarity with AI may be a critical prerequisite first step before stakeholders consider implementation.

初级保健提供者对机会性 CT 筛查价值的看法
背景人工智能应用的临床应用需要利益相关者看到其使用价值。人工智能支持的机会性 CT 筛查(OS)可利用 CT 中偶然检测到的结果为健康带来潜在益处。本研究评估了初级保健提供者(PCP)对 OS 的看法。评估内容包括对人工智能和操作系统的熟悉程度、对潜在价值/成本的看法、结果的沟通以及技术的实施。结果62%的受访者(n = 71)是全科医生,64.8%在社区医院执业。虽然 74.6% 的受访者听说过人工智能/机器学习,但 95.8% 的受访者对操作系统知之甚少。大多数受访者表示对人工智能几乎不信任。所报告的担忧包括人工智能的准确性(74.6%)和未知责任(73.2%)。78.9%的受访者表示操作系统的应用需要放射科医生的监督。53.5% 的受访者倾向于将操作系统结果纳入放射学报告中单独的 "筛查 "部分,并附带条件风险和管理建议。大多数受访者表示,结果可能会影响所有查询应用的临床管理,动脉粥样硬化性心血管疾病风险、腹主动脉瘤和肝纤维化应包含在每份 CT 报告中,无论检查原因如何。70.5%的人认为初级保健医生不太可能为操作系统付费。患者(91.5%)、医疗服务提供者(77.5%)和未知责任(74.6%)的额外成本是最常见的担忧。随着人工智能应用的发展,在开发此类技术时应考虑最终用户的反馈意见,以优化实施和采用。在利益相关者考虑实施之前,提高利益相关者对人工智能的熟悉程度可能是至关重要的第一步。
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
Clinical Imaging
Clinical Imaging 医学-核医学
CiteScore
4.60
自引率
0.00%
发文量
265
审稿时长
35 days
期刊介绍: The mission of Clinical Imaging is to publish, in a timely manner, the very best radiology research from the United States and around the world with special attention to the impact of medical imaging on patient care. The journal''s publications cover all imaging modalities, radiology issues related to patients, policy and practice improvements, and clinically-oriented imaging physics and informatics. The journal is a valuable resource for practicing radiologists, radiologists-in-training and other clinicians with an interest in imaging. Papers are carefully peer-reviewed and selected by our experienced subject editors who are leading experts spanning the range of imaging sub-specialties, which include: -Body Imaging- Breast Imaging- Cardiothoracic Imaging- Imaging Physics and Informatics- Molecular Imaging and Nuclear Medicine- Musculoskeletal and Emergency Imaging- Neuroradiology- Practice, Policy & Education- Pediatric Imaging- Vascular and Interventional Radiology
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