A Rapid Diagnostic of Risk in Hospitalized Patients Using Machine Learning (NCT05893420)
🩺 Plain-English Summary (8th-Grade Level)
In this study, the investigators will deploy a software-based clinical decision support tool (eCARTv5) into the electronic health record (EHR) workflow of multiple hospital wards. eCART's algorithm is designed to analyze real-time EHR data, such as vitals and laboratory results, to identify which patients are at increased risk for clinical deterioration. The algorithm specifically predicts imminent death or the need for intensive care unit (ICU) transfer. Within the eCART interface, clinical teams are then directed toward standardized guidance to determine next steps in care for elevated-risk patients. The investigators hypothesize that implementing such a tool will be associated with a decrease in ventilator utilization, length of stay, and mortality for high-risk hospitalized adults.
Who can join: To join this study, participants generally need to meet the listed inclusion criteria (2 items) and avoid the listed exclusions (3 items).
Location: Yale New Haven Health System — New Haven, Connecticut
📋 "Do I Qualify?" — 1-Minute Self Screener
Instant ChecklistCheck every box below. If you can check all of them, you may meet the study's basic screening requirements (final eligibility is confirmed by the site team).
Usually NOT eligible if any of the following apply:
- Exclusion Criteria:
- Younger than 18 years old
- Not admitted to an eCART-monitored medical surgical unit (scoring location)
🔍 Extracted verbatim from the official NIH eligibility criteria. Always confirm with the study coordinator.
📍 All Participating Trial Locations (3 Sites)
- Yale New Haven Health System — New Haven, Connecticut
- BayCare Health System — Clearwater, Florida
- University of Wisconsin Health — Madison, Wisconsin
💰 Cost, Insurance & Patient Rights
- 100% Free Items: The investigational treatment and protocol-required procedures are supplied at zero cost by the sponsor.
- Routine Patient Care: Under federal law (ACA § 2709) and many state statutes, routine care costs are covered during participation.
- Voluntary Participation: You may withdraw at any time without affecting your standard medical care.