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A Rapid Diagnostic of Risk in Hospitalized Patients Using Machine Learning
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.
Conditions:
🦠 Sepsis 🦠 Septicemia 🦠 Respiratory Failure 🦠 Hemodynamic Instability 🦠 COVID-19 🦠 Cardiac Arrest 🦠 Clinical Deterioration
🗓️ Study Start (Actual) 1 December 2022
🗓️ Primary Completion (Estimated) 31 December 2023
✅ Study Completion (Estimated) 30 June 2025
👥 Enrollment (Estimated) 30000
🔬 Study Type INTERVENTIONAL
📊 Phase NA
Locations:
📍 Clearwater, Florida, United States
📍 Madison, Wisconsin, United States

📋 Eligibility Criteria

Description

    Inclusion Criteria:

    • * 18 years old
    • * Admitted to an eCART-monitored medical-surgical unit (scoring location)

    Exclusion Criteria:

    • * Younger than 18 years old
    • * Not admitted to an eCART-monitored medical surgical unit (scoring location)
Ages Eligible for Study: 18 Years to N/A (ADULT, OLDER_ADULT)
Sexes Eligible for Study: ALL
Accepts Healthy Volunteers: No

🗓️ Study Record Dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Registration Dates

  • First Submitted 24 April 2023
  • First Submitted that Met QC Criteria 6 June 2023
  • First Posted 7 June 2023

Study Record Updates

  • Last Update Submitted that Met QC Criteria 6 June 2023
  • Last Update Posted 7 June 2023
  • Last Verified June 2023
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