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Development Of A Hospital Readmission Reduction Program For Patients Discharged To Skilled Nursing Facilities: An Application Of Artificial Intelligence And Machine Learning Techniques, Anna Stachel

Dissertations and Theses

Background

Hospital readmissions within 30 days after discharge have drawn national policy attention as they are a reflection of suboptimal patient care. Readmissions are costly, accounting for more than $17 billion in potentially avoidable Medicare expenditures - nearly 78% of readmissions may be avoidable. Rich electronic data from medical records, growing computing capacities, and open source machine learning algorithms offer new opportunities to predict patients at high risk for readmission and prevent readmission through focused interventions. Prediction models might also serve to provide a more nuanced context of patient characteristics that lead to variations in readmission rates. Furthermore, transitional care …