Health Catalyst Ambulatory Intelligence Deploys on Customer Databricks

Health Catalyst's Ambulatory Intelligence solution integrates AI with healthcare improvement expertise to analyze complex operational relationships and surface patterns within data. It aims to provide clarity on the drivers behind performance metrics and guide intervention strategies.

To ensure data governance and control for healthcare providers, Health Catalyst deploys its AI solution directly into the customer's own Databricks workspace. This approach means sensitive patient data never leaves the health system's environment, aligning with customer demands for data ownership and privacy.

The solution integrates Genie, allowing for the combination of dashboards and natural-language querying. This enables leaders to not only see where they stand but also to understand the 'why' behind performance shifts in real-time, facilitating quicker decision-making.

The solution utilizes Databricks Unity Catalog to govern the entire data footprint within the customer's workspace, providing centralized access controls, lineage tracking, and audit trails. This ensures that data residency and visibility remain under customer control.

Databricks Lakebase is employed as the serving layer for operational data, ensuring low-latency query responses for daily performance monitoring. This choice prioritizes speed for leaders accessing daily operational data, with room for future transactional capabilities.

Ambulatory growth in health systems is often stalled by disconnected data on access, referrals, and financials, leading to long patient wait times and significant referral leakage. Traditional reporting tools struggle to provide a unified, current view of these interconnected operational issues.