Kawasaki MATCH: A Clinical Decision Support Tool to Detect KD
University of California, San Diego
Summary
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.
Description
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.
Eligibility
- Age range
- 0–17 years
- Sex
- All
- Healthy volunteers
- No
Inclusion Criteria: * Measured or subjective fever for \>= 3 calendar days * One measured fever \>= 38.0 C (home or in ED) * One or more clinical feature of Kawasaki Disease including: * Rash * Conjunctival injection * Oropharyngeal changes * Extremity changes (erythema, edema, desquamation) * Cervical adenopathy (\>=1.5cm) * Infants \< 6 months of age with \>= 7 days of fever eligible even if none of the above clinical features * Requires IV/phlebotomy for clinical evaluation Exclusion Criteria: * Congenital or Acquired Immune function * Genetic disorders * Current systemic steroid, immuno…
Interventions
- OtherKawasaki MATCH
Providers access the Kawasaki MATCH decision support tool. Patient information is entered into the tool and a risk score is indicated to the provider. Kawasaki MATCH is a previously validated machine-learning decision support tool for the diagnosis of Kawasaki Disease. This tool utilizes patient age, 18 laboratory features, and 5 clinical features to formulate a risk score.
Location
- Rady Children's Hospital, San DiegoSan Diego, California