A Rapid Diagnostic of Risk in Hospitalized Patients Using Machine Learning
Public ClinicalTrials.gov record NCT05893420. Field values are reproduced from the official study page; the official ClinicalTrials.gov record remains the source of truth for eligibility, enrollment, and contact information.
Data is sourced from official ClinicalTrials.gov public API records. Always review the official ClinicalTrials.gov record for the latest information.
Official title
A Rapid Diagnostic of Risk in Hospitalized Patients With COVID-19, Sepsis, and Other High-Risk Conditions to Improve Outcomes and Critical Resource Allocation Using Machine Learning
Brief summary
Reproduced verbatim from the official ClinicalTrials.gov record. Not medical advice.
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.
Study identification
- NCT ID
- NCT05893420
- Recruitment status
- Active, not recruiting
- Study type
- Interventional
- Phase
- Not applicable
- Enrollment
- 30,000 participants
Conditions and interventions
Conditions
Interventions
Device · Other
Eligibility (public fields only)
- Age range
- 18 Years and older
- Sex
- All
- Healthy volunteers
- Healthy volunteers not accepted
This page does not interpret eligibility. Detailed inclusion and exclusion criteria are on the official ClinicalTrials.gov record.
Study timeline
- Start date
- Dec 30, 2024
- Primary completion
- Dec 30, 2026
- Completion
- Dec 30, 2026
- Last update posted
- Jul 28, 2025
2024 – 2026
United States locations
- U.S. sites
- 3
- U.S. states
- 3
- U.S. cities
- 3
| Facility | City | State | ZIP | Site status |
|---|---|---|---|---|
| Yale New Haven Health System | New Haven | Connecticut | 06510 | — |
| BayCare Health System | Clearwater | Florida | 33759 | — |
| University of Wisconsin Health | Madison | Wisconsin | 53792 | — |
Site contact phone numbers, emails, and investigator names are intentionally not displayed here. Open the official ClinicalTrials.gov record for site contact information.
About this trial record page
- What this page shows
- Public field values for ClinicalTrials.gov record NCT05893420, including study identification, conditions, interventions, eligibility (age, sex, healthy volunteer), timeline, and U.S. site list.
- What this page does not do
- No medical advice, eligibility judgments, treatment recommendations, study quality scoring, or AI-generated medical summaries. No site contact phone numbers, emails, or investigator names.
- Where the data comes from
- Sourced from the official ClinicalTrials.gov public API. The official record is the source of truth.
- Last refresh
- Last update posted Jul 28, 2025 · Synced Sep 6, 2026
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Open the official record
The complete protocol, eligibility criteria, and contact information for NCT05893420 live on ClinicalTrials.gov.