ACL Digital: Hospital Readmission Prediction Using Machine Learning Algorithms

ACL Digital, headquartered in California, is a distinguished IT firm renowned for its comprehensive UX (user experience) design, analytics and business intelligence services catering to diverse industries. The firm’s prominence in healthcare stems from a rich history of collaboration with major organizations in the Provider, Payer and Medical Device sectors. Leveraging profound industry insights and state-of-the-art technology, ACL Digital excelled in delivering customized solutions tailored to the distinctive challenges confronting healthcare entities. With a firm belief in the transformative power of data-driven decision-making, ACL Digital is actively engaged in pioneering technology solutions for the healthcare landscape. One notable initiative involves the development of prediction models for hospital readmissions. These models harness advanced machine learning techniques to derive features automatically from longitudinal health data. ACL Digital is committed to crafting machine learning algorithms that precisely forecast readmission probabilities and discern the factors influencing them. This translates to substantial cost saving and opens avenues for proactively preventing readmissions.

This case may be used at advanced levels in MBA and Data Science programs to demonstrate the use of Machine Learning (ML) algorithms. The case can also be used to discuss practical strategies for imputing essential data points that cannot be imputed using statistical methods. Additionally, the case can be further used to understand how to choose the best model, not only based on metrics such as the area under the ROC curve (AUC), but also on the model’s explainability.