CASE STUDY

AI-based Patient Eligibility Screening

Context

A healthcare client conducting a clinical trial for a new diabetes medication was facing major inefficiencies during patient recruitment. Manual screening of electronic health records (EHRs) for eligibility criteria such as age, HbA1c levels, medication history, and comorbidities was time-consuming, error-prone, and delaying trial timelines.

Resolution

Our data science team developed a lightweight AI-based screening tool using Python and scikit-learn. The model was trained on historical patient data to predict trial eligibility with high accuracy. It was seamlessly integrated into the client’s EHR system, allowing real-time identification of qualified participants. Custom logic and explainability features ensured the tool remained compliant and clinically interpretable.

Result

The AI solution reduced screening time by 50%, minimized manual errors, and accelerated participant enrollment. It improved operational efficiency and allowed the clinical team to focus more on patient engagement and care delivery, ensuring a timely and credible trial launch.

 

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    AI-based Patient Eligibility Screening

    Context

    A healthcare client conducting a clinical trial for a new diabetes medication was facing major inefficiencies during patient recruitment. Manual screening of electronic health records (EHRs) for eligibility criteria such as age, HbA1c levels, medication history, and comorbidities was time-consuming, error-prone, and delaying trial timelines.

    Resolution

    Our data science team developed a lightweight AI-based screening tool using Python and scikit-learn. The model was trained on historical patient data to predict trial eligibility with high accuracy. It was seamlessly integrated into the client’s EHR system, allowing real-time identification of qualified participants. Custom logic and explainability features ensured the tool remained compliant and clinically interpretable.

    Result

    The AI solution reduced screening time by 50%, minimized manual errors, and accelerated participant enrollment. It improved operational efficiency and allowed the clinical team to focus more on patient engagement and care delivery, ensuring a timely and credible trial launch.

     

    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.

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