We modernize your healthcare data warehouse and AI platform so trusted data supports analytics, research and intelligent workflows.
// Why Pivot Point Consulting
We pair healthcare data architecture, analytics and AI expertise with hands-on engineering, to build a healthcare data warehouse and, where it fits, a healthcare data lake around clinical, operational, financial and research realities.
Our teams work across enterprise warehouses, lakehouses, Microsoft Fabric and Epic Cogito Cloud, linking architecture to governance and AI use cases. We retire legacy content and leave a clinical data platform your team can sustain.
// Success story
Real outcomes from our healthcare data warehouse clients.
Read more success storiesShowing story 1 of 2: Large academic medical center
// What we cover
Define the target platform around current and future analytics, research and AI needs. We evaluate architecture patterns, cloud services, lakehouse and warehouse approaches, workspace models, integration, security and operating requirements.
Design, build and operationalize AI solutions that use trusted enterprise data, knowledge and workflows.
Modernize how analytics is organized, delivered and sustained, with co-sourced and managed models.
Use forecasting, predictive models and operational intelligence to anticipate demand, risk and resource needs.
In a recent article from Healthcare IT Today, Michelle Lichte, Senior Partner of Professional Services, shares how organizations are using data analytics to improve claims management, utilization review, and care coordination.
Hospitals are navigating a tough financial landscape, with rising expenses, increasing bad debt, and declining patient volumes putting pressure on already tight margins. As costs continue to climb, many organizations are turning to IT as a strategic area for savings.
What’s keeping healthcare CIOs up at night? Our Client Advisory Board weighs in with their top five headaches for 2025. Read the blog.
Our most frequently asked data-architecture-modernization questions, answered.
Have any questions? →A modern data and AI platform brings together trusted enterprise data, governance, analytics, research and AI on a scalable cloud foundation. It supports structured and unstructured data, reusable data products, secure access, and operational controls.
