- Health Catalyst (HCAT, Financial) launches 10 AI-integrated data toolkits on Databricks Marketplace at no cost.
- The toolkits include advanced machine learning models and large language model capabilities.
- Available through Delta Sharing, the toolkits aim to address critical healthcare challenges efficiently.
Health Catalyst, Inc. (HCAT), a prominent provider of data and analytics technology for healthcare organizations, has announced the release of 10 AI-integrated data toolkits on the Databricks Marketplace. These toolkits, available at no cost through Delta Sharing, are designed to address some of the most pressing challenges in healthcare, enabling organizations to initiate measurable improvements in patient outcomes.
The toolkits incorporate sophisticated machine learning models, including limited versions of Health Catalyst's Healthcare.AI and large language models (LLM). They are specifically targeted to optimize high-value use cases such as predicting hospital readmissions, reducing emergency department visits, improving HEDIS scores, and facilitating intelligent patient attribution matching.
By offering these resources through the Databricks marketplace, Health Catalyst not only provides healthcare organizations with immediate access to robust analytics tools but also removes barriers to entry by presenting ready-to-run frameworks. This strategy allows users to explore data-driven improvements without needing to build analytics solutions from scratch, greatly enhancing efficiency and resource allocation.
This initiative is the latest milestone in the partnership between Health Catalyst and Databricks, following their January collaboration aimed at enhancing healthcare data sharing and analytics. With this launch, Health Catalyst continues to demonstrate its commitment to democratizing healthcare analytics, making advanced data solutions accessible to organizations of all sizes, and fostering a more informed approach to healthcare delivery.
