Databricks
Case Studies
Lakehouse Empowers CareSource to Streamline Data for Enhanced Healthcare Delivery
Overview
Lakehouse Empowers CareSource to Streamline Data for Enhanced Healthcare DeliveryDatabricks |
Analytics & Modeling - Predictive Analytics Platform as a Service (PaaS) - Application Development Platforms | |
Buildings Healthcare & Hospitals | |
Data Science Services | |
Operational Impact
The implementation of the Databricks Lakehouse Platform has had a significant impact on CareSource's operations. The company can now automatically reconcile data that flows between it and third-party companies. This has been a huge differentiator for CareSource, as most peers in the industry are unable to do this both from an operating perspective and in terms of the reliability and usability of the data. The company is also in the process of rewriting a predictive model for high-risk pregnancies. By processing data points and setting certain parameters, the company can flag potential high-risk pregnancies and automatically create a workflow for a nurse to do proactive outreach. This would not have been possible without the Databricks Lakehouse Platform. The company is also planning to explore AI and ML to create more robust and accurate predictive models. | |
Quantitative Benefit
The company can now proactively generate its own invoice dollar amount before actually receiving the invoice, and it matches down to the penny. | |
The company is in the process of rewriting a predictive model for high-risk pregnancies, which will allow for proactive outreach to potential high-risk pregnancies. | |