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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 and 24 months follow-up. Implementation barriers and enablers will also be assessed.
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
2026-09
Last Updated
2025-01-20
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