Implementing AI-Assisted, Patient-Friendly Imaging Report Summaries to Enhance Oncology Care Delivery
University of Wisconsin, Madison
Summary
The implementation of the AI-assisted radiology summary tool into clinical workflows is being conducted as part of a standard-of-care quality improvement (QI) initiative at UW Health. The evaluation of this tool's impact via structured feedback from patients and providers is being undertaken as a prospective research study.
Description
Patient groups: Mixed-method approach to evaluate patient understanding of, and anxiety about, imaging results and communication experience regarding the results before and after implementation of AI-assisted, patient-friendly imaging report summaries that accompany the imaging results. Provider group: Quasi-experimental staircase approach to sequentially roll out the tool to three provider cohorts. All hematology/oncology and gynecology oncology attending providers will be randomized by disease group into three relatively similar-sized cohorts based on group-level scan volumes, regardless of…
Eligibility
- Age range
- 18+ years
- Sex
- All
- Healthy volunteers
- No
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 Criteri…
Location
- UW HealthMadison, Wisconsin