[HTML][HTML] Focus: Big Data: Artificial Intelligence to Improve Patient Understanding of Radiology Reports

K Amin, P Khosla, R Doshi, S Chheang… - The Yale Journal of …, 2023 - ncbi.nlm.nih.gov
Diagnostic imaging reports are generally written with a target audience of other providers.
As a result, the reports are written with medical jargon and technical detail to ensure …

Decoding radiology reports: potential application of OpenAI ChatGPT to enhance patient understanding of diagnostic reports

H Li, JT Moon, D Iyer, P Balthazar, EA Krupinski… - Clinical Imaging, 2023 - Elsevier
Purpose To evaluate the complexity of diagnostic radiology reports across major imaging
modalities and the ability of ChatGPT (Early March 2023 Version, OpenAI, California, USA) …

Utilizing large language models to simplify radiology reports: a comparative analysis of ChatGPT3. 5, ChatGPT4. 0, Google Bard, and Microsoft Bing

R Doshi, K Amin, P Khosla, S Bajaj, S Chheang… - medRxiv, 2023 - medrxiv.org
This paper investigates the application of Large Language Models (LLMs), specifically
OpenAI's ChatGPT3. 5, ChatGPT4. 0, Google Bard, and Microsoft Bing, in simplifying …

Patient-centered radiology communications: engaging patients as partners

SP Dutruel, KD Hentel, EM Hecht, N Kadom - Journal of the American …, 2024 - Elsevier
Patient-centered care is a model in which, by bringing the patient's perspective to the design
and delivery of health care, we can better meet patients' needs, enhancing the quality of …

Quantitative evaluation of large language models to streamline radiology report impressions: A multimodal retrospective analysis

R Doshi, KS Amin, P Khosla, SS Bajaj, S Chheang… - Radiology, 2024 - pubs.rsna.org
Background The complex medical terminology of radiology reports may cause confusion or
anxiety for patients, especially given increased access to electronic health records. Large …

21st Century Cures Act: patient-facing implications of information blocking

WA Mehan Jr, JA Brink, JA Hirsch - Journal of the American College of …, 2021 - Elsevier
The information-blocking provision of the Cures Act is designed to promote interoperability
of health IT systems and mandates immediate access and portability of personal electronic …

Patient-friendly radiology reporting—implementation and outcomes

J Kemp, R Short, S Bryant, L Sample… - Journal of the American …, 2022 - Elsevier
Objective To evaluate patient use and experience with patient-centered radiology reports
provided via a radiology-specific patient portal in an outpatient setting. Methods Patient …

Novel quality measure set: closing the completion loop on radiology follow-up recommendations for noncritical actionable incidental findings

N Kadom, AK Venkatesh, SA Shugarman… - Journal of the American …, 2022 - Elsevier
Background Care gaps occur when radiology follow-up recommendations are poorly
communicated or not completed, resulting in missed or delayed diagnosis potentially …

The patient-friendly radiology report: history, evolution, challenges and opportunities

NS Vincoff, MA Barish, G Grimaldi - Clinical Imaging, 2022 - Elsevier
The past several decades have witnessed dramatic developments and improvements in the
field of radiology, including technologic innovations and new imaging modalities, picture …

The impact of different radiology report formats on patient information processing: a systematic review

FAM van der Mee, RPG Ottenheijm, EGS Gentry… - European …, 2024 - Springer
Background Since radiology reports are primarily written for health professionals, patients
may experience difficulties understanding jargon and terminology used, leading to anxiety …