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Investigating the Impact of AI on Shared Decision Making in Post-kidney Transplant Care
Sponsor: Charite University, Berlin, Germany
Summary
This study aims to analyze the effects of AI-based risk prediction for graft loss on the frequency of conversations about the treatment after graft loss, as well as the associated shared decision making process in post-kidney transplant care in a German kidney transplant center (KTC), as perceived by the patient, their support person and the clinician/physician. Second, it aims to explore changes in patient and support person recall at 12 months follow-up. Implementation barriers and enablers will also be assessed. The protocol was amended so that the initially planned 24 months observation timeframe was removed from the study and it ended after 12 months due to high attrition and funding restrictions.
Official title: Prospective, Randomized Controlled Trial to Investigate the Impact of AI on Shared Decision Making in Post-kidney Transplant Care
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
INTERVENTIONAL
Enrollment
76
Start Date
2024-01-19
Completion Date
2025-10-21
Last Updated
2026-05-15
Healthy Volunteers
No
Conditions
Interventions
AI-based risk prediction for kidney graft loss
Implementation of AI-based risk prediction tool for the 1-year risk of kidney graft loss.
Locations (1)
Charité - Universitätsmedizin Berlin
Berlin, State of Berlin, Germany