Pediatric eCART: an electronic tool to spot children at high risk of critical illness

Is this trial a fit for you?

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

Researchers will compare three years of retrospective pediatric inpatient data before implementation to two years of prospective data after deploying pediatric eCART at American Family Children's Hospital, examining up to 30,000 encounters. Pediatric eCART applies a machine-learning model to routine electronic health record data and is delivered via the AgileMD clinical decision support engine to continuously quantify risk of clinical deterioration. The study will measure outcomes such as timing of ICU transfer, morbidity, mortality, and nurse acceptability of the intervention. Neonates and birth encounters are excluded and the focus is on UW Health inpatient locations.

Why it matters

Who can join: the full rules

Inclusion Criteria (pediatric patients):

* All pediatric patients scored on pediatric eCART (or eligible for scoring on either algorithm in the pre-implementation period) will be screened for study eligibility.
* Patients eligible for pediatric eCART scoring include pediatric (\<18 years of age) patients
* Inpatient locations

Exclusion Criteria (pediatric patients):

* Patients who are ineligible for pediatric eCART scoring
* Neonates and birth encounters will be excluded from the pediatric eCART study

Inclusion Criteria (nurse clinicians):

* UW Health nurses who interact with eCART during patient care

Exclusion Criteria (nurse clinician):

* UW Health nurses no longer employed at UW Health

Where it's running

• American Family Children's Hospital
  Madison, Wisconsin, United States Recruiting

Study contacts

• Principal investigator: Anoop Mayampurath, PhD — UW School of Medicine and Public Health
• Study coordinator: Anoop Mayampurath, PhD
• Email: mayampurath@wisc.edu
• Phone: 608-261-1028

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How to take part

1. Review the eligibility criteria above with your treating physician.
2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.