Multimodal Radiology Report to Improve Patient-centered Radiology

NCT07159438 | Not Yet Recruiting

• 1 other identifier: IRB24-1619
• Study Type: interventional
• Target: 200
• Locations: 0 countries
• Sites: N/A

Brief Summary

The goal of this study is to learn if AI-generated video explanations help people better understand their radiology reports. The main question it aims to answer is: Do AI-generated videos help participants understand their medical imaging results better than written reports alone? Participants will send their own radiology images and written reports to the research team; receive a personalized AI-generated video that explains their results in easy-to-understand language; watch their video explanation (about 1-5 minutes long); and complete 15-minute online survey about how well the video helped them understand their results.

Conditions

Health Literacy; Diagnostic Imaging; Imaging Results; Artificial Intelligence

Keywords

Patient-centered Understanding; Radiology Reports; Artificial Intelligence

Outcome Measures

Primary Outcomes (2)

• Change in Patient Understanding of Radiology Report After AI-Generated Video Explanation

  Change in patient-reported understanding score measured by the question "How would you rank your understanding of the radiology report?" assessed before and after viewing the AI-generated video explanation. Scores range from 1 (Not at all) to 5 (Very well), where higher scores indicate better understanding. The primary outcome is calculated as the difference between post-video and pre-video understanding scores, with positive values indicating improved understanding.

  Baseline (before viewing video) and immediately after viewing the AI-generated video explanation (within 24 hours of receiving the video)

• Change in Patient Understanding of Radiology Images After AI-Generated Video Explanation

  Change in patient-reported understanding score measured by the question "How would you rank your understanding of the radiology image?" assessed before and after viewing the AI-generated video explanation. Scores range from 1 (Not at all) to 5 (Very well), where higher scores indicate better understanding. The outcome is calculated as the difference between post-video and pre-video understanding scores, with positive values indicating improved understanding.

  Baseline (before viewing video) and immediately after viewing the AI-generated video explanation (within 24 hours of receiving the video)

Secondary Outcomes (11)

• Change in Ability to Explain Radiology Findings to Family Members After AI-Generated Video Explanation

  Baseline (before viewing video) and immediately after viewing the AI-generated video explanation (within 24 hours of receiving the video)

• Change in Patient Confidence Discussing Radiology Results with Healthcare Provider After AI-Generated Video Explanation

  Baseline (before viewing video) and immediately after viewing the AI-generated video explanation (within 24 hours of receiving the video)

• Change in Patient Worry About Misunderstanding Radiology Findings After AI-Generated Video Explanation

  Baseline (before viewing video) and immediately after viewing the AI-generated video explanation (within 24 hours of receiving the video)

• Perceived Usefulness of AI-Generated Video Radiology Explanation

  Immediately after viewing the AI-generated video explanation (within 24 hours of receiving the video)

• Perceived Ease of Use of AI-Generated Video Radiology Explanation

  Immediately after viewing the AI-generated video explanation (within 24 hours of receiving the video)

Other Outcomes (4)

• Video Engagement - Number of Pauses

  During viewing of the AI-generated video explanation

• Video Engagement - Number of Replays

  During viewing of the AI-generated video explanation

• Video Engagement - Total Viewing Time

  During viewing of the AI-generated video explanation

Study Arms (1)

AI Video Explanation

EXPERIMENTAL

Other: AI-Generated Video Radiology Report Explanation

Interventions

AI-Generated Video Radiology Report Explanation OTHER

Participants receive a personalized video explanation of their own radiology imaging results, generated using artificial intelligence technology. The AI converts the participant's existing written radiology report into an easy-to-understand video format featuring an avatar narrator. Each video is approximately 1-5 minutes long and explains the participant's specific imaging findings in plain language. All AI-generated videos are reviewed by qualified medical personnel before delivery to ensure accuracy and prevent misleading information. Participants watch their personalized video and then complete survey to evaluate how well the video helped them understand their radiology results compared to the original written report.

AI Video Explanation

Eligibility Criteria

• Age: 18 Years+
• Sex: all
• Healthy Volunteers: Yes
• Age Groups: Adult (18-64), Older Adult (65+)

You may qualify if:

• Age 18+ adults who have taken a radiology examination.

You may not qualify if:

• N/A

Sponsors & Collaborators

• Harvard Medical School (HMS and HSDM): lead

Study Design

• Study Type: interventional
• Phase: not applicable
• Allocation: NA
• Masking: NONE
• Purpose: HEALTH SERVICES RESEARCH
• Intervention Model: SINGLE GROUP
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: Associate Professor of Biomedical Informatics

Study Record Dates

• First Submitted: August 12, 2025
• First Posted: September 8, 2025
• Study Start (Estimated): December 1, 2026
• Primary Completion (Estimated): December 1, 2027
• Study Completion (Estimated): December 1, 2028
• Last Updated: September 8, 2025

Record last verified: 2025-08

Data Sharing

• IPD Sharing: Will not share