The Problem
Our client, a network of hospitals, faced capacity constraints and needed an efficient way to forecast hospital stays to optimize patient admissions and improve health outcomes.
The Solution
Dimensional Strategies Inc. (DSI) developed data pipelines to extract key information from the hospital information system. Using machine learning models, historical hospital stay data was analyzed alongside variables such as patient demographics, health conditions, and capacity utilization to forecast future stays. With ML Ops, the model dynamically adjusted predictive parameters as new data was introduced. Predictions were integrated into curated datasets for seamless access by hospital staff, enabling enhanced capacity management and delivering a better patient experience.