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IF 4 3区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2025-01-01 DOI: 10.1016/S1546-1440(24)00995-5
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引用次数: 0
Evolving Trainee Participation in Radiologists’ Workload Using A National Medicare-Focused Analysis From 2008 to 2020 受训人员参与放射医师工作量的演变:从 2008 年到 2020 年以全国医疗保险为重点的分析。
IF 4 3区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2025-01-01 DOI: 10.1016/j.jacr.2024.08.029
Judah Burns MD , YoonKyung Chung PhD , Elizabeth Y. Rula PhD , Richard Duszak Jr. MD , Andrew B. Rosenkrantz MD

Purpose

Increasing volumes and productivity expectations, along with practice type consolidation, may be impacting trainees’ roles in the work effort of radiologists involved in education. We assessed temporal shifts in trainee participation in radiologists’ workload nationally.

Methods

All US radiologists interpreting noninvasive diagnostic imaging for Medicare fee-for-service beneficiaries were identified from annual 5% Research Identifiable Files from 2008 to 2020 (n = 35,595). Teaching radiologists were defined as those billing services using Medicare’s GC modifier, indicating trainee supervision. Billed work relative value units were used to determine the percentage of teaching radiologists’ total workload with trainee participation. Mean trainee participation in workload was calculated for teaching radiologists overall and stratified by radiologist and practice characteristics determined using National Downloadable Files.

Results

The percentage of radiologists involved in teaching increased from 13.6% (2008) to 20.4% (2020). Among teaching radiologists, mean total workload increased 7% from 2008 to 2019 and decreased in 2020 to 2% below 2008’s level; mean teaching workload decreased 19% from 2008 to 2019 and decreased in 2020 to 31% below 2008’s level. Mean trainee participation in teaching radiologists’ total workload decreased from 35.3% (2008) to 26.3% (2019) and 24.5% (2020). Teaching radiologists showed decreased mean trainee participation when stratified by gender, experience, subspecialty, geography, practice type, and practice size.

Conclusions

The percentage of US radiologists involved in resident teaching has increased, likely reflecting academic practice expansion and academic-community practice consolidation. However, a declining percentage of teaching radiologists’ total workload involves trainees; this dispersion effect could have implications for education quality.
目的:随着业务类型的整合,对工作量和生产率的期望不断提高,这可能会影响到受训人员在放射科医生教育工作中所扮演的角色。我们在全国范围内评估了受训人员参与放射医师工作量的时间变化:我们从 2008 年至 2020 年每年 5% 的研究可识别档案(n = 35,595)中确定了为医疗保险付费服务受益人解释无创诊断成像的所有美国放射科医师。教学放射科医生的定义是使用医疗保险 GC 修饰符计费的放射科医生,该修饰符表示受训人员的监督。计费工作相对价值单位用于确定实习生参与教学放射科医师总工作量的百分比。计算了教学放射科医师的受训人员参与工作量的平均值,并根据放射科医师和使用国家可下载文件确定的执业特点进行了分层:结果:参与教学的放射科医师比例从 13.6%(2008 年)增至 20.4%(2020 年)。在教学放射科医生中,平均总工作量从 2008 年到 2019 年增加了 7%,2020 年减少到比 2008 年水平低 2%;平均教学工作量从 2008 年到 2019 年减少了 19%,2020 年减少到比 2008 年水平低 31%。受训人员参与放射科医生教学总工作量的平均值从 35.3%(2008 年)降至 26.3%(2019 年)和 24.5%(2020 年)。根据性别、经验、亚专科、地域、执业类型和执业规模进行分层后,教学放射科医师的受训人员平均参与率有所下降:美国放射科医师参与住院医师教学的比例有所上升,这可能反映了学术实践的扩展和学术与社区实践的整合。然而,放射科医生的总工作量中涉及受训者的比例正在下降;这种分散效应可能会对教育质量产生影响。
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引用次数: 0
Patient-Friendly Summary of the ACR Appropriateness Criteria®: Sudden Onset of Cold, Painful Leg ACR 适宜性标准®患者友好型摘要:突发性腿冷、疼痛。
IF 4 3区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2024-12-01 DOI: 10.1016/j.jacr.2024.04.018
Avani Shinde MD , Sonya Bhole MD
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引用次数: 0
Transcending Language Barriers: Can ChatGPT Be the Key to Enhancing Multilingual Accessibility in Health Care? 跨越语言障碍:ChatGPT 能否成为提高医疗保健领域多语种无障碍环境的关键?
IF 4 3区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2024-12-01 DOI: 10.1016/j.jacr.2024.05.009
Vaibhav Gulati MD , Shambo Guha Roy MD , Ahmed Moawad MD , Daniela Garcia MD , Aparna Babu MD , Jeffrey D. Poot DO , Oleg M. Teytelboym MD

Objective

To explore the capabilities of Chat Generative Pre-trained Transformer (ChatGPT) for the purpose of simplifying and translating radiology reports into Spanish, Hindi, and Russian languages, with comparisons to its performance in simplifying to the English language.

Methods

Fifty deidentified abdomen-pelvis CT reports were fed to ChatGPT (4.0), instructing it to simplify and translate the report. The processed reports were rated on factual correctness (category 1), potential harmful errors (category 2), completeness (category 3), and explanation of medical terms (category 4). The translated versions were also rated on the quality of translation (category 5). The scores in each category were compared between the translated versions and each translated version was compared with the English version in the first four categories. The original reports and the simplified English reports were rated on the Flesch Reading Ease Score and the Flesch Kincaid Grade Level.

Results

The Spanish translation outperformed the Hindi and Russian version significantly in categories 1 and 3 (P < .05). All translated versions performed significantly worse compared with the English version in category 4 (P < .001). Notably, the Hindi translated version performed significantly worse in all four categories (P < .05). The Russian translated version was also significantly worse in category 3 (P < .05). In the first three categories, the Spanish translation, and in the first two categories, the Russian translation demonstrated no statistically significant difference from the English version. No statistically significant difference was observed in the Flesch Reading Ease Score and Flesch Kincaid Grade Level of the simplified English reports. Typographical errors in the original reports negatively affected the translation.

Conclusion

ChatGPT demonstrates potential ability in translating reports and communicating pertinent clinical information with limited errors. More training and tailoring are required for languages that are not as commonly used in medical literature. Large language models can be used for translating and simplifying radiology reports, potentially improving access to health care and helping reduce health care costs.
目的探索 ChatGPT 将放射学报告简化并翻译成西班牙语、印地语和俄语的能力,并与 ChatGPT 简化为英语的性能进行比较。对处理后的报告在事实正确性(I)、潜在有害错误(II)、完整性(III)和医学术语解释(IV)方面进行评分。翻译版本也根据翻译质量(V)进行评分。对各翻译版本在每个类别中的得分进行比较,并将每个翻译版本与英文版本在前四个类别中的得分进行比较。根据弗莱施阅读容易程度评分(FRES)和弗莱施-金凯德等级评分(FKRL)对原始报告和简化英文报告进行评分:结果:西班牙文译本在第一类和第三类中的表现明显优于印地文和俄文译本(pConclusion):ChatGPT 展示了翻译报告和传达相关临床信息的潜在能力,而且错误有限。对于医学文献中不常用的语言,需要进行更多的培训和调整。LLM 可用于翻译和简化放射学报告,有可能改善医疗服务的可及性,并有助于降低医疗成本。
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引用次数: 0
Patient, Referring Physician, and Radiologist Opinions Over Time on Providing Patients Access to Radiology Reports: A Systematic Review 患者、转诊医生和放射科医生对向患者提供放射报告的意见随时间变化:系统回顾
IF 4 3区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2024-12-01 DOI: 10.1016/j.jacr.2024.08.006
Mohammad Alarifi PhD, MS , M. Courtney Hughes PhD, MS , Abdulrahman M. Jabour PhD, MS , Yazeed Alashban PhD, MS , Erin Vernon PhD, MA

Objective

Patients increasingly have access to their radiology reports. This systematic review examined the opinions of patients, referring physicians, and radiologists over time on providing patients full access to their radiology reports.

Methods

A systematic review examining quantitative, qualitative, and mixed methods research using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines (PROSPERO CRD42023466502). Our search was conducted through September 30, 2023, and spanned five databases (CINAHL Plus, Web of Science, ProQuest, PubMed, and Scopus). The studies included were peer-reviewed journal articles about the opinions of patients, referring physicians, or radiologists regarding giving patients unrestricted access to their radiology reports.

Results

After screening 4,520 articles, the full texts of 439 studies were assessed for eligibility. Thirty-three studies met the inclusion criteria. The studies showed that, over time, patients have consistently expressed a strong desire to access radiology reports, and referring physicians and radiologists have varied opinions about patient access to radiology reports. The main advantages of patient access found in the studies were enhanced understanding and empowerment and increased patient-physician engagement and communication. The main disadvantages were difficulties in patients understanding reports and patient anxiety from accessing reports. Referring physicians’ opinions and radiologists’ opinions were found in less than 20% (six studies) and 10% (three studies), respectively.

Discussion

The studies show patients have desired access to radiology reports over time. Future research should elicit the opinions of referring physicians and radiologists to enable a more informed design of patient access to radiology reports.
目的:越来越多的患者可以获取他们的放射学报告。本系统综述研究了患者、转诊医生和放射科医生长期以来对向患者提供全面的放射学报告的意见:采用系统综述和荟萃分析首选报告项目(PRISMA)指南(PROSPERO CRD42023466502)对定量、定性和混合方法研究进行了系统综述。我们的检索工作一直持续到 2023 年 9 月 30 日,共使用了五个数据库(CINAHL Plus、Web of Science、ProQuest、PubMed 和 Scopus)。所纳入的研究均为同行评审期刊文章,内容涉及患者、转诊医生或放射科医生对允许患者不受限制地查阅放射报告的看法:在筛选了 4520 篇文章后,对 439 项研究的全文进行了资格评估。有 33 项研究符合纳入标准。这些研究表明,随着时间的推移,患者一直表达了获取放射学报告的强烈愿望,而转诊医生和放射科医生对患者获取放射学报告的看法则各不相同。研究发现,患者获取报告的主要优点是增强了理解和能力,提高了患者与医生之间的参与度和沟通。主要缺点是患者难以理解报告,以及患者对获取报告感到焦虑。转诊医生的意见和放射科医生的意见分别不足 20%(6 项研究)和 10%(3 项研究):讨论:这些研究表明,随着时间的推移,患者希望获得放射科报告。未来的研究应征求转诊医生和放射科医生的意见,以便在更知情的情况下设计患者获取放射学报告的途径。
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引用次数: 0
Maintain Readability Standards for Radiology Reports Translated by Artificial Intelligence 维护人工智能翻译放射学报告的可读性标准
IF 4 3区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2024-12-01 DOI: 10.1016/j.jacr.2024.07.027
Ronald Lockington MD, Alexander Beckstead MD, David Garcia MD
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引用次数: 0
Patient-Friendly Summary of the ACR Appropriateness Criteria®: Cerebrovascular Disease–Child ACR 适宜性标准®患者友好摘要:脑血管疾病-儿童。
IF 4 3区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2024-12-01 DOI: 10.1016/j.jacr.2024.06.003
Anna Cernich , Sherry S. Wang MBBS
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引用次数: 0
Advanced Practice Provider Procedures Commonly Performed in Interventional Radiology: Medicare Volume Trends From 2010 to 2021 介入放射学中常用的高级医疗服务提供者程序:2010-2021 年医疗保险用量趋势。
IF 4 3区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2024-12-01 DOI: 10.1016/j.jacr.2024.06.015
Will S. Lindquester MD , C. Matthew Hawkins MD, MBA , Eric L. Peterson PA-C , Rajoo Dhangana MD
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引用次数: 0
The Impact of Large Language Model-Generated Radiology Report Summaries on Patient Comprehension: A Randomized Controlled Trial 大语言模型生成的放射学报告摘要对患者理解能力的影响:随机对照试验
IF 4 3区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2024-12-01 DOI: 10.1016/j.jacr.2024.06.018
Kayla Berigan MD, CIIP , Ryan Short MD , David Reisman MD , Laura McCray MD, MSCE , Joan Skelly MS , Kimberly Jones BS , Nicholas T. Befera MD , Naiim Ali MD
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引用次数: 0
Imaging Pregnant or Potentially Pregnant Patients With Ionizing Radiation: Navigating a Changing Medicolegal Landscape 用电离辐射为怀孕或可能怀孕的患者成像:驾驭不断变化的医学法律环境。
IF 4 3区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2024-12-01 DOI: 10.1016/j.jacr.2024.06.023
Katherine Frederick-Dyer MD , Sarah Averill MD , Kirti Magudia MD, PhD , Sasha Kurumety MD , Elizabeth H. Dibble MD
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引用次数: 0
期刊
Journal of the American College of Radiology
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