CASE STUDY

Predicting 30 Day Readmissions in Diabetic Patients

Context

Hospitals face financial penalties and increased costs when patients are readmitted within 30 days of discharge. Diabetes is a major driver of readmissions. One of our healthcare clients wanted us to build a predictive model using R programming to identify high risk patients and guide timely interventions.

Resolution

Our team developed predictive models using logistic regression and random forest to identify patients at high risk of readmission. Random forest provided more accurate predictions than logistic regression.

We also built a Shiny dashboard where clinicians can input patient details and view readmission risk scores, enabling practical application of the model in clinical settings.

Result

The hospital reduced 30-day readmissions by 12 percent after targeting high risk patients with follow up calls, home visits, and medication reconciliation. This improved patient outcomes and lowered healthcare costs.

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    Predicting 30 Day Readmissions in Diabetic Patients

    Context

    Hospitals face financial penalties and increased costs when patients are readmitted within 30 days of discharge. Diabetes is a major driver of readmissions. One of our healthcare clients wanted us to build a predictive model using R programming to identify high risk patients and guide timely interventions.

    Resolution

    Our team developed predictive models using logistic regression and random forest to identify patients at high risk of readmission. Random forest provided more accurate predictions than logistic regression.

    We also built a Shiny dashboard where clinicians can input patient details and view readmission risk scores, enabling practical application of the model in clinical settings.

    Result

    The hospital reduced 30-day readmissions by 12 percent after targeting high risk patients with follow up calls, home visits, and medication reconciliation. This improved patient outcomes and lowered healthcare costs.

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    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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