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COMPLETED
NCT06056518
NA

Investigating the Impact of AI on Shared Decision Making in Post-kidney Transplant Care

Sponsor: Charite University, Berlin, Germany

View on ClinicalTrials.gov

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

Interventions

OTHER

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