AI-assisted, patient-friendly imaging report summaries to improve communication of cancer imaging results
Official title: Implementing AI-Assisted, Patient-Friendly Imaging Report Summaries to Enhance Oncology Care Delivery
Run by University of Wisconsin, Madison · NCT07532083 · Data updated 2026-11-12
This project will try AI-written, easy-to-understand summaries of scan results for adults with current or past cancer who get imaging at UW Health to see if they help patients understand results and feel less anxious.
Quick facts
| Study type | Observational |
|---|---|
| Ages | 18 Years and up |
| Sex | All |
| Enrollment | 2000 (estimated) |
| Sponsor | University of Wisconsin, Madison Academic / other |
| Locations | 1 site (Madison, Wisconsin) |
| Status | Recruiting |
| Started | February 1, 2026 |
| Main results expected | January 2027 |
| Study ends | January 2027 |
| Registry record updated | August 5, 2026 |
| Trial ID | NCT07532083 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Adults (18+) with a current or prior cancer who receive imaging at UW Health, have active MyChart access, and can complete electronic REDCap surveys are ideal candidates.
✕Probably not a fit
Patients without portal access, those who do not read electronic summaries, or those whose results require immediate clinician interpretation may not benefit from the summaries.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
UW Health is rolling out an AI-assisted tool that generates patient-friendly summaries alongside routine radiology reports for oncology patients as part of a quality-improvement initiative. The rollout to hematology/medical oncology and gynecologic oncology providers uses a quasi-experimental staircase design, adding provider cohorts every two months. Patient and provider feedback is collected prospectively using baseline and post-implementation surveys, with in-depth interviews in a small subset. The mixed-methods approach compares patient comprehension, anxiety, and communication experience before and after implementation.
Why it matters
Potential benefit: If successful, patients may better understand their imaging results, experience less anxiety, and have clearer conversations with their oncology clinicians.
How similar studies have gone: Some prior work on patient-friendly radiology reporting has shown improved understanding and satisfaction, but AI-generated summaries are relatively novel and evidence remains limited.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria (Patient Participants): * Age 18 years or older * Having a current or prior cancer diagnosis (any cancer type) * Has active access to the UW Health MyChart patient portal. * Receiving care at UW Health within the Division of Hematology, Medical Oncology and Palliative Care or Department of Gynecologic Oncology. * Undergoing imaging studies (such as CT, MRI, or PET scans) as part of routine cancer care. * Willing and able to complete electronic REDCap surveys. * For interview participation: willing to participate in a 30-45-minute phone or video interview. Inclusion Criteria (Provider Participants): Cancer care providers will be eligible to participate in this study if they meet all of the following criteria: * Faculty physician (MD or DO) practicing in the Division of Hematology, Medical Oncology and Palliative Care or Department of Gynecologic Oncology at UW Health. * Involved in reviewing, discussing, or sharing imaging results with patients. * Planned to gain access to the AI-assisted, patient-friendly imaging summary tool as part of clinical implementation. * Willing and able to complete electronic surveys or participate in a brief interview (\~30 minutes). Exclusion Criteria (Patients): * Are unable to provide informed consent due to cognitive impairment or other limitations, as determined by the clinical or study team. * Enrolled in an active interventional clinical trial. Patients on biospecimen, registry, or non-interventional studies are eligible. * For the Patient Interview group only: Patients with radiographic disease progression will be excluded.
Where it's running
-
UW Health
Madison, Wisconsin, United States Recruiting
Study contacts
- Principal investigator: Toby Campbell, MD — UW School of Medicine and Public Health
- Study coordinator: Supportive Oncology
- Email: supportiveoncology@uwcarbone.wisc.edu
- Phone: 608-263-6002
Similar studies
Other studies for the same condition or treatment. Recruiting studies are listed first.
-
18F-FES PET/MRI to find hidden disease in invasive lobular breast cancer
This study tests whether adding 18F-FES PET/MRI can reveal more disease in lobular breast cancer than standard imaging alone.
-
Share or Not to Share: A Peer-Led Support Program for Caregivers of Autistic Young Adults
A group, peer-led program tests how six virtual sessions can support family caregivers of autistic young adults (ages 18–26) in navigating roles, sharing experiences, and planning for the future.
-
Decision-support tool to aid blood biomarker testing discussions in primary care
A brief tool is being tested to help primary care doctors talk with patients about blood biomarker testing for Alzheimer's disease and support shared decision-making.
-
Durvalumab plus histotripsy for intrahepatic cholangiocarcinoma
This study tests whether adding histotripsy to ongoing durvalumab helps people with advanced intrahepatic cholangiocarcinoma by boosting the immune response and checking safety.
-
Proton Therapy Treatment-Planning Software: Checking How Well RayStation and RayCare Work in Real Care
This study tests whether the RayStation 2025 and RayCare 2025 software upgrades reliably support delivering standard proton therapy to adults.
-
See if informal tick education helps kids ages 6-12
The study tests simple educational activities about ticks for children aged 6 to 12 to see how it changes their attitudes and knowledge.
How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.