Case Study • 26 Aug 2024

    Early Sepsis Detection and Real-Time Monitoring Application

    Client

    A Renowned Public Hospital

    Region

    Texas, US

    Industry

    Healthcare

    Completed

    26 Aug 2024

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    Early Sepsis Detection System
    27.54%
    Mortality Reduction
    24.13%
    ICU Stay Reduction

    Executive Summary

    Project overview and client background

    The client is a renowned public hospital in Texas, consisting of a highly experienced team of data scientists and physicians working together to address pressing healthcare issues facing hospitals, clinicians, patients, and communities dedicated to advancing healthcare delivery enabled by healthcare information and technology.

    Industry Focus
    Healthcare AI
    Primary Goal
    Sepsis Prevention
    Solution Type
    Real-time Monitoring

    Challenge

    The critical problem we needed to solve

    Critical Time Sensitivity

    The hospital wanted to tackle the challenge of early sepsis detection and control a potentially life-threatening condition. Prompt identification and intervention is crucial to reducing death rates, as the likelihood of mortality grows by 20% for each hour when treatment is delayed.

    The Diagnostic Challenge

    Yet, in a hospital environment, diagnosing sepsis can be difficult since the symptoms can be mistaken for other conditions. Conventional risk determination methods often identify sepsis inaccurately, resulting in a high rate of false positives. The hospital needed a robust solution that could improve accuracy in early sepsis detection and provide healthcare professionals with actionable insights on time.

    20%
    Mortality increase per hour delay
    High
    False positive rate
    Critical
    Need for real-time insights

    The Results

    Measurable outcomes and life-saving impact

    The average reduction in mortality was 27.54% and the average length of hospital stays for ICU patients decreased by 24.13%.

    27.54%
    Mortality Reduction
    Lives Saved
    24.13%
    ICU Stay Reduction
    Faster Recovery

    Clinical Impact Summary

    Early
    Detection
    Real-time
    Monitoring
    AI-Powered
    Insights

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