CASE STUDY

Predicting Sepsis Using Clinical Data

Context

The client faced challenges with the late detection of sepsis, a life-threatening condition caused by infection. Delayed diagnosis often resulted in higher mortality rates and longer ICU stays, making early identification critical for timely clinical intervention.

Resolution

Our team consolidated clinical data streams into the hospital’s electronic health record EHR system and trained a machine learning model using historical patient data to identify early patterns of sepsis. Each patient was assigned a dynamic risk score that updated hourly as new clinical inputs were recorded.

Result

Early detection improved by 35 percent, enabling clinicians to intervene before full sepsis onset. Mortality decreased by 15 percent among the sepsis patient group, and clinicians reported greater confidence in decision making due to timely, data driven alerts.

Download This Case Study











    Please accept the Privacy Policy and Terms & Conditions to continue.


    Please provide your SMS consent to continue.

    Recent Case-studies

    Predicting Sepsis Using Clinical Data

    Context

    The client faced challenges with the late detection of sepsis, a life-threatening condition caused by infection. Delayed diagnosis often resulted in higher mortality rates and longer ICU stays, making early identification critical for timely clinical intervention.

    Resolution

    Our team consolidated clinical data streams into the hospital’s electronic health record EHR system and trained a machine learning model using historical patient data to identify early patterns of sepsis. Each patient was assigned a dynamic risk score that updated hourly as new clinical inputs were recorded.

    Result

    Early detection improved by 35 percent, enabling clinicians to intervene before full sepsis onset. Mortality decreased by 15 percent among the sepsis patient group, and clinicians reported greater confidence in decision making due to timely, data driven alerts.

    About Us

    Headquartered in New Jersey, Rang Technologies has dedicated over a decade delivering innovative solutions and best talent to help businesses get the most out of the latest technologies in their digital transformation journey. Rang Technologies has grown to become a global leader in Analytics, Data Science, Artificial Intelligence, Machine Learning, Salesforce CRM, Cloud, DevOps, Internet of Things (IoT), Cybersecurity, IT Consulting and Staffing, and Corporate Training. Our clients, which include Fortune 500 to Start-up companies, come from a wide array of industries, including pharmaceuticals, healthcare, retail, technology, BFSI, media, automobile, manufacturing, and several others. Our clients know they can rely on Rang Technologies to deliver customized and comprehensive digital solutions and talent to complement their business and technical objectives.

    sales@rangtech.com | info@rangtech.com | (732) 947 4119
    Headquarters: 15 Corporate Place South, Suite #356, Piscataway, NJ 08854

    CONTENTS

    By submitting this form, you consent to receive calls and SMS messages from Rang Technologies. Message and data rates may apply. Reply STOP to opt out.