Amin Kanhai S, Davis Melissa A, Naderi Amir, Forman Howard P
Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, USA.
Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, USA.
Curr Probl Diagn Radiol. 2025 Mar-Apr;54(2):147-150. doi: 10.1067/j.cpradiol.2024.12.008. Epub 2024 Dec 10.
As a result of the 21st Century Cures Act, radiology reports are immediately released to patients. However, these reports are often too complex for the lay patient, potentially leading to stress and anxiety. While solutions such as patient portals or providing radiologist contact information have been proposed in the past, new generative artificial intelligence technologies like ChatGPT and Google Gemini may provide the most accessible and scalable method of simplifying radiology reports for patients. Here, we gather the opinions of radiologists regarding this possibility.
An eight-question survey was sent out to all diagnostic/interventional radiology attendings and clinical fellows at our large academic medical center.
From our survey (N = 52), 52.8 % of respondents agreed/strongly agreed that patients should have immediate access to their radiology reports. Only 9.61 % agreed that radiology reports are understandable by the lay patient. Regarding potential avenues to improve patient comprehension of their radiology reports, using artificial intelligence to simplify reports with a manual check by radiologists garnered the most support/strong support (46.2 %). Support of artificial intelligence generated simplifications dropped to (23.1 %) without a manual check.
Patients are increasingly gaining access to their radiology reports, but reports may be too complex for the lay patient. Eventually, artificial intelligence systems may help simplify radiology reports for patients, but there is currently limited support from radiologists.
由于《21世纪治愈法案》,放射学报告立即向患者发布。然而,这些报告对于外行患者来说往往过于复杂,可能导致压力和焦虑。虽然过去曾提出过患者门户网站或提供放射科医生联系信息等解决方案,但像ChatGPT和谷歌Gemini这样的新型生成式人工智能技术可能提供了最易于获取和扩展的方法,为患者简化放射学报告。在此,我们收集了放射科医生对此可能性的看法。
向我们大型学术医疗中心的所有诊断/介入放射科主治医师和临床住院医师发送了一份包含八个问题的调查问卷。
在我们的调查中(N = 52),52.8%的受访者同意/强烈同意患者应能立即获取其放射学报告。只有9.61%的人同意外行患者能够理解放射学报告。关于提高患者对其放射学报告理解的潜在途径,使用人工智能简化报告并由放射科医生进行人工检查获得了最多的支持/强烈支持(46.2%)。如果没有人工检查,对人工智能生成的简化内容的支持率降至23.1%。
患者越来越能够获取其放射学报告,但这些报告对外行患者来说可能过于复杂。最终,人工智能系统可能有助于为患者简化放射学报告,但目前放射科医生的支持有限。