Multimodal Radiology Report to Improve Patient-centered Radiology
Trial statusNot yet recruiting
Trial phaseNot applicable
Trial typeInterventional
Biological sexAll
Age18+
SponsorHarvard Medical School (HMS and HSDM)
About this trial
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.
Eligibility criteria
This trial accepts healthy volunteersQualifiers
Age 18+ adults who have taken a radiology examination.
Disqualifiers
N/A
Trial design
Design model
Single group
Treatments tested in this trial
AI-Generated Video Radiology Report Explanation
Other interventionParticipants 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.
Treatment groups
200 Participants
are divided into 1 treatment groupGroup A: AI Video ExplanationExperimental treatment 1 intervention
Trial outcomes
Primary outcomes
1
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.
Time frame
Baseline (before viewing video) and immediately after viewing the AI-generated video explanation (within 24 hours of receiving the video)2
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.
Time frame
Baseline (before viewing video) and immediately after viewing the AI-generated video explanation (within 24 hours of receiving the video)Secondary outcomes
1
Change in Ability to Explain Radiology Findings to Family Members After AI-Generated Video Explanation
Change in patient-reported confidence score measured by the statement "I can explain the main findings of my radiology report to my family members" assessed before and after viewing the AI-generated video explanation. Scores range from 1 (Strongly Disagree) to 5 (Strongly Agree), where higher scores indicate greater confidence in explaining findings. The outcome is calculated as the difference between post-video and pre-video confidence scores, with positive values indicating improved confidence.
Time frame
Baseline (before viewing video) and immediately after viewing the AI-generated video explanation (within 24 hours of receiving the video)2
Change in Patient Confidence Discussing Radiology Results with Healthcare Provider After AI-Generated Video Explanation
Change in patient-reported confidence score measured by the statement "I feel confident discussing my radiology results with my healthcare provider" assessed before and after viewing the AI-generated video explanation. Scores range from 1 (Strongly Disagree) to 5 (Strongly Agree), where higher scores indicate greater confidence. The outcome is calculated as the difference between post-video and pre-video confidence scores, with positive values indicating improved confidence.
Time frame
Baseline (before viewing video) and immediately after viewing the AI-generated video explanation (within 24 hours of receiving the video)3
Change in Patient Worry About Misunderstanding Radiology Findings After AI-Generated Video Explanation
Change in patient-reported worry score measured by the statement "I am worried about misunderstanding my radiology findings" assessed before and after viewing the AI-generated video explanation. Scores range from 1 (Not worried) to 5 (Extremely worried), where lower scores indicate less worry. The outcome is calculated as the difference between post-video and pre-video worry scores, with negative values indicating reduced worry.
Time frame
Baseline (before viewing video) and immediately after viewing the AI-generated video explanation (within 24 hours of receiving the video)4
Perceived Usefulness of AI-Generated Video Radiology Explanation
Patient-reported perceived usefulness score measured by the statement "Using the AI video explanation improves my understanding of my radiology findings" assessed after viewing the AI-generated video explanation. Scores range from 1 (Strongly Disagree) to 5 (Strongly Agree), where higher scores indicate greater perceived usefulness of the AI video explanation.
Time frame
Immediately after viewing the AI-generated video explanation (within 24 hours of receiving the video)Other outcomes
1
Video Engagement - Number of Pauses
Number of times participants pause the AI-generated radiology explanation video during viewing. This metric assesses participant engagement patterns and need for additional processing time.
Time frame
During viewing of the AI-generated video explanation2
Video Engagement - Number of Replays
Number of times participants replay sections of the AI-generated radiology explanation video. This metric assesses participant engagement and areas requiring clarification or repeated viewing.
Time frame
During viewing of the AI-generated video explanation3
Video Engagement - Total Viewing Time
Total time in minutes spent viewing the AI-generated radiology explanation video. This metric assesses overall participant engagement duration with the video content.
Time frame
During viewing of the AI-generated video explanation4
Helpful Components of AI-Generated Video Radiology Explanation
Participant-reported helpful aspects measured by the question "What did you find helpful about the video report?" with multiple response options including: findings highlighted in images, avatar using easy-to-understand language, comparisons to normal studies, comparisons to older studies, use of 3D images, easier to understand than written report, and side-by-side comparisons. Responses are analyzed as frequencies and percentages for each component.
Time frame
Immediately after viewing the AI-generated video explanation (within 24 hours of receiving the video)Locations
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Source ClinicalTrials.gov
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