The useful question is what changes for users, developers or buyers, and whether the announcement stays industry context or becomes something people can actually use.

Ambulatory care accounts for most patient interactions with health systems, yet operational barriers such as provider capacity and referral retention hinder growth. A 2025 AMN Healthcare survey found average wait times for routine appointments have risen 19% since 2022, reaching 31 days, while U.S. health systems lose an estimated $150 billion annually to referral leakage. These challenges are interconnected, requiring a unified approach to identify constraints and prioritize interventions effectively.

Health Catalyst’s solution integrates AI with nearly two decades of healthcare improvement expertise to bridge the 'ambulatory intelligence gap.' Robbie Hughes, Chief Product Officer, notes that traditional tools like static dashboards or consultant reports fail to provide actionable, real-time insights. The new solution runs within a customer’s Databricks workspace, ensuring data governance and control while enabling cross-functional teams to align on metrics and operational drivers.

The Ambulatory Intelligence solution leverages Databricks’ medallion architecture to deliver prebuilt domain models and metrics across Access Optimization, Revenue Intelligence, Panel Management, and Referral Insights. This allows operational leaders to visualize performance immediately and understand how decisions in one area impact others, such as how scheduling practices or panel distribution affect provider productivity and financial outcomes.

Customers can adapt the solution to their specific markets, avoiding rigid vendor-defined workflows. Health Catalyst plans to expand the portfolio with costing and clinical quality solutions, building on a shared data foundation. Early adopters have reported measurable improvements, with the platform’s embedded healthcare expertise enabling faster, more informed decision-making across ambulatory networks.