PRECISE framework: Enhanced radiology reporting with GPT for improved readability, reliability, and patient-centered care

IF 3.2 3区医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

European Journal of Radiology Pub Date : 2025-04-17 DOI:10.1016/j.ejrad.2025.112124

Satvik Tripathi , Liam Mutter , Meghana Muppuri , Suhani Dheer , Emiliano Garza-Frias , Komal Awan , Aakash Jha , Michael Dezube , Azadeh Tabari , Bernardo C. Bizzo , Keith J. Dreyer , Christopher P. Bridge , Dania Daye

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引用次数: 0

Abstract

Background

The PRECISE framework, defined as Patient-Focused Radiology Reports with Enhanced Clarity and Informative Summaries for Effective Communication, leverages GPT-4 to create patient-friendly summaries of radiology reports at a sixth-grade reading level.

Purpose

The purpose of the study was to evaluate the effectiveness of the PRECISE framework in improving the readability, reliability, and understandability of radiology reports. We hypothesized that the PRECISE framework improves the readability and patient understanding of radiology reports compared to the original versions.

Materials and Methods

The PRECISE framework was assessed using 500 chest X-ray reports. Readability was evaluated using the Flesch Reading Ease, Gunning Fog Index, and Automated Readability Index. Reliability was gauged by clinical volunteers, while understandability was assessed by non-medical volunteers. Statistical analyses including t-tests, regression analyses, and Mann-Whitney U tests were conducted to determine the significance of the differences in readability scores between the original and PRECISE-generated reports.

Results

Readability scores significantly improved, with the mean Flesch Reading Ease score increasing from 38.28 to 80.82 (p-value < 0.001), the Gunning Fog Index decreasing from 13.04 to 6.99 (p-value < 0.001), and the ARI score improving from 13.33 to 5.86 (p-value < 0.001). Clinical volunteer assessments found 95 % of the summaries reliable, and non-medical volunteers rated 97 % of the PRECISE-generated summaries as fully understandable.

Conclusion

The application of the PRECISE approach demonstrates promise in enhancing patient understanding and communication without adding significant burden to radiologists. With improved reliability and patient-friendly summaries, this approach holds promise for fostering patient engagement and understanding in healthcare decision-making. The PRECISE framework represents a pivotal step towards more inclusive and patient-centric care delivery.

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PRECISE 框架：利用 GPT 增强放射学报告，提高可读性、可靠性和以患者为中心的护理

PRECISE框架被定义为以患者为中心的放射学报告，具有增强的清晰度和有效沟通的信息摘要，利用GPT-4创建患者友好的放射学报告摘要，达到六年级阅读水平。目的本研究的目的是评估PRECISE框架在提高放射学报告的可读性、可靠性和可理解性方面的有效性。我们假设，与原始版本相比，PRECISE框架提高了放射学报告的可读性和患者的理解。材料和方法使用500例胸部x线报告对PRECISE框架进行评估。使用Flesch Reading Ease， Gunning Fog Index和Automated Readability Index来评估可读性。可靠性由临床志愿者评估，而可理解性由非医学志愿者评估。统计分析包括t检验、回归分析和Mann-Whitney U检验，以确定原始报告和precision生成的报告之间可读性评分差异的显著性。结果易读性评分显著提高，Flesch Reading Ease平均分由38.28分提高到80.82分(p值<；0.001)，射雾指数由13.04降至6.99 (p值<；ARI评分从13.33提高到5.86 (p值<；0.001)。临床志愿者评估发现95%的摘要是可靠的，非医疗志愿者认为97%的precision生成的摘要是完全可以理解的。结论precision方法的应用在不增加放射科医生负担的情况下，有望加强患者的理解和沟通。通过提高可靠性和患者友好的摘要，该方法有望促进患者参与和理解医疗保健决策。PRECISE框架是朝着更具包容性和以患者为中心的医疗服务迈出的关键一步。

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

European Journal of Radiology 医学-核医学

CiteScore

6.70

自引率

3.00%

发文量

398

审稿时长

42 days

期刊介绍： European Journal of Radiology is an international journal which aims to communicate to its readers, state-of-the-art information on imaging developments in the form of high quality original research articles and timely reviews on current developments in the field. Its audience includes clinicians at all levels of training including radiology trainees, newly qualified imaging specialists and the experienced radiologist. Its aim is to inform efficient, appropriate and evidence-based imaging practice to the benefit of patients worldwide.