The traditional healthcare operating model—defined by manual data entry and fragmented administrative cycles—is increasingly at odds with the need for clinical throughput and margin protection. To evolve, organizations must move beyond simply collecting data to orchestrating autonomous operations that reduce the burden on overextended teams.
This session explores how a robust data foundation, powered by the partnership between Innovaccer and Snowflake, transforms static information into executing workflows. We will examine the architectural shift required to move from “assisted” tasks to “autonomous” agents, specifically focusing on:
- Solving the Data Quality Gap: How to leverage Snowflake Cortex AI and the Model Context Protocol (MCP) to ingest and normalize unstructured data at scale.
- Applying Healthcare Intelligence: The necessity of layering clinical ontologies and healthcare context to ensure AI outputs are accurate, compliant, and production-ready.
- Driving Measurable ROI: Transitioning from experimental AI to high-value automation in areas like revenue cycle management and patient access.
Participants will leave this session with a blueprint for scaling AI within a complex healthcare enterprise. Key highlights include:
- A Live Demo: A walkthrough of Gravity’s Self-Serve Studios, demonstrating how to build and deploy a functional AI Agent.
- Framework for Governance: Lessons learned on maintaining HIPAA/HITRUST compliance while managing centralized AI guardrails.
- Operational Strategy: Insights into identifying high-priority use cases that yield the fastest ROI by replacing routine manual tasks with autonomous execution.
Come check this session out at the Snowflake Booth #5247
The traditional healthcare operating model—defined by manual data entry and fragmented administrative cycles—is increasingly at odds with the need for clinical throughput and margin protection. To evolve, organizations must move beyond simply collecting data to orchestrating autonomous operations that reduce the burden on overextended teams.
This session explores how a robust data foundation, powered by the partnership between Innovaccer and Snowflake, transforms static information into executing workflows. We will examine the architectural shift required to move from “assisted” tasks to “autonomous” agents, specifically focusing on:
- Solving the Data Quality Gap: How to leverage Snowflake Cortex AI and the Model Context Protocol (MCP) to ingest and normalize unstructured data at scale.
- Applying Healthcare Intelligence: The necessity of layering clinical ontologies and healthcare context to ensure AI outputs are accurate, compliant, and production-ready.
- Driving Measurable ROI: Transitioning from experimental AI to high-value automation in areas like revenue cycle management and patient access.
Participants will leave this session with a blueprint for scaling AI within a complex healthcare enterprise. Key highlights include:
- A Live Demo: A walkthrough of Gravity’s Self-Serve Studios, demonstrating how to build and deploy a functional AI Agent.
- Framework for Governance: Lessons learned on maintaining HIPAA/HITRUST compliance while managing centralized AI guardrails.
- Operational Strategy: Insights into identifying high-priority use cases that yield the fastest ROI by replacing routine manual tasks with autonomous execution.
Come check this session out at the Snowflake Booth #5247
SAVE YOUR SPOT!
Speaker
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Mike Sutten
Chief Information Officer Innovacer
Date: March 10, 2026
Time: 02:00 PM PT