Case Studies
Community Healthcare Utilization Risk Score
Hospitals can change the way they deliver care by understanding their communities through the application of machine learning and statistics.
Many of the decisions facing healthcare professionals are life and death. The ability to confidently make these decisions by combining data-driven insights with provider expertise saves lives, increases workforce efficiency, limits risk and liability, manages costs, and enables more effective care. Mosaic Data Science pulls together many different medical and other relevant data sources, builds models to predict potential outcomes, and offers decision support at critical service points.
Hospitals can change the way they deliver care by understanding their communities through the application of machine learning and statistics.
For one of the US’s largest healthcare systems, Mosaic designed and deployed a custom machine learning tool to identify anomalous purchase orders.
We helped one of the largest Children’s Healthcare Network more accurately forecast patient volume across their hospitals.
We designed and deployed a custom NLP engine to facilitate better population health decisions for the CDC.
We designed and deployed predictive analytics to help doctors treat diabetes more efficiently and effectively long-term.
In this whitepaper, we examine how different companies can attack the dispatch routing optimization problem using ML & AI.