Perspectives on what comes next.

Paige Cooke's analysis of healthcare quality, responsible AI and the organizational realities of adopting what's next.

Learning Through Oversight

A series exploring how healthcare quality can move beyond static measurement toward continuous learning, observability and feedback loops, and what AI-enabled healthcare needs in order to earn trust.

1. LEARNING THROUGH OVERSIGHT · PART 6From Scorecards to Signals: What the CMS Conference Revealed About the Future of QualityRead on LinkedIn ↗
2. RELATED PERSPECTIVELearning from Signals: A Promising Frontier for Healthcare QualityRead on LinkedIn ↗
3. LEARNING THROUGH OVERSIGHT · PART 4Drift Is a Signal: What Medicare Advantage Teaches Us About ObservabilityRead on LinkedIn ↗
4. LEARNING THROUGH OVERSIGHT · PART 3When Digital Quality Infrastructure Is No Longer the Hard PartRead on LinkedIn ↗
5. LEARNING THROUGH OVERSIGHT · PART 2Positive Steps Toward Agentic AI Governance & What Still Appears to Be MissingRead on LinkedIn ↗
6. LEARNING THROUGH OVERSIGHT · FEATUREDWhat if the Missing Piece to Trusted AI in Healthcare Isn't More Automation, but AI That Learns & Trains on It?Read on LinkedIn ↗

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• Responsible AI
• Oversight & accountability
• Quality as a learning system
• Signal lineage
• Observability
• Digital quality infrastructure
• Interoperability
• Innovation adoption
• Whole-person care
• Healthy aging

PUBLISHED WITH NCQA

• dQMs: Momentum for Mainstream
• LTSS Limelight: Home and Community-Based Services Gain State Traction
• For-Profit Elder Care Can Be Scary if Quality Doesn't Come First
• A Tribute to National Developmental Disabilities Awareness Month
• Inside Health Care #85: Danny Cawood and the Struggle for Simple Communication

AJMC

• Paige Cooke Defines the Role of a Patient-Centered Specialty Practice
• PCMH Provides Strong Front Line for ACOs

PODCAST GUEST

• Healthcare Simplified #23: How Employers Can Encourage Whole Patient Care