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Active Not RecruitingNCT06056518

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

Prospective, Randomized Controlled Trial to Investigate the Impact of AI on Shared Decision Making in Post-kidney Transplant Care

Status
Active Not Recruiting
Phase
N/A
Study type
Interventional
Enrollment
76 (actual)
Sponsor
Charite University, Berlin, Germany · Academic / Other
Sex
All
Age
18 Years
Healthy volunteers
Not accepted

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.

Conditions

Interventions

TypeNameDescription
OTHERAI-based risk prediction for kidney graft lossImplementation of AI-based risk prediction tool for the 1-year risk of kidney graft loss.

Timeline

Start date
2024-01-19
Primary completion
2025-09-01
Completion
2026-09-01
First posted
2023-09-28
Last updated
2025-01-20

Locations

1 site across 1 country: Germany

Source: ClinicalTrials.gov record NCT06056518. Inclusion in this directory is not an endorsement.

Investigating the Impact of AI on Shared Decision Making in Post-kidney Transplant Care (NCT06056518) · Clinical Trials Directory