Healthcare measures like Healthcare Effectiveness Data and Information Set (HEDIS) are critical for health plans to ensure quality care and identify critical care gaps. However, keeping up with changing measure definitions and executing SQL/procedural calculations to ensure measure dashboards are up to date is a manual and time-consuming process.
On June 25, join experts from Inovalon, phData, and Snowflake as they discuss how health plans can leverage AI and LLMs to understand measure calculation changes, propose SQL/procedural code changes and deploy measure calculation changes with ease.
Learning objectives:
- The value of healthcare measures data and how it helps improve patient/member health outcomes
- Best practices for organizations looking to get started with data and AI for healthcare measures
- Real-world success and outcomes with data & AI
