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Kawasaki MATCH: A Clinical Decision Support Tool to Detect KD
Evaluating the impact of a machine-learning clinical decision support tool on provider practice when evaluating febrile patients with Kawasaki Disease (KD) and non-KD illnesses.
Following laboratory evaluation, providers will be randomized to treat patients according to usual practice/standard of care vs. receiving clinical decision support from the Kawasaki MATCH tool - a previously validated machine-learning clinical decision support tool to identify Kawasaki Disease. The study aim is to evaluate the accuracy of Kawasaki MATCH prospectively when used at the point of care, as well as how this tool impacts clinical decisions including additional evaluation and hospital admission.
Age
0 - 17 years
Sex
ALL
Healthy Volunteers
No
Rady Children's Hospital, San Diego
San Diego, California, United States
Start Date
March 1, 2025
Primary Completion Date
October 31, 2026
Completion Date
October 31, 2026
Last Updated
December 18, 2025
200
ESTIMATED participants
Kawasaki MATCH
OTHER
Lead Sponsor
University of California, San Diego
Collaborators
NCT05643651
NCT06993636
Data Source & Attribution
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