Resources for Your Team
Making AI Work in Healthcare
Healthcare leaders don’t need more AI hype. They need solutions built around real clinical data challenges.
Cooking With FHIR: A Recipe for Intelligent Automation in Healthcare Data Exchange
From APIs and AI to automated record retrieval, explore the technologies reshaping healthcare data exchange and interoperability.
Responsible AI for Health Information Professionals: A Practical Framework for HI Leaders
This guide outlines how health information professionals can implement AI responsibly without sacrificing accuracy, privacy, or compliance.
Inside the Payer-Provider Trust Gap: How Leaders Are Navigating Data Sharing
Healthcare leaders share how they’re balancing payer access, transparency, and data governance.
Closing the Gap Between Cancer Care and Oncology Data
Cancer care is becoming more complex. Discover how oncology data backlogs can impact patient care, reporting, and program performance.
What is HEDIS®? The Basics, Objectives and Significance
Learn what HEDIS® is, how health plans use it to measure quality, and why timely clinical data is critical to…
2026 DIY Guide to MSSP ACO eCQM Reporting: From Clinical Data Chaos to Submission Success
Learn how MSSP ACOs can prepare for 2026 eCQM reporting, meet APP Plus requirements, and successfully submit quality data to…
AI Hype vs. AI Value in Healthcare: What Health System Leaders Are Actually Seeing
Is healthcare AI delivering on its promises? Learn why trust, data quality, and realistic expectations matter more than productivity claims.
