Anthropic Joins CMS Health Tech Ecosystem Pledge for Healthcare Interoperability

Anthropic has signed the Centers for Medicare & Medicaid Services (CMS) Health Tech Ecosystem pledge, a public-private partnership aimed at modernizing healthcare data sharing to improve patient outcomes. This collaboration seeks to resolve long-standing healthcare interoperability challenges by combining government coordination with technical innovation from the AI industry.

Using AI to Eliminate Healthcare Data Silos

Anthropic aims to use its AI technology to bridge incompatible data systems, ensuring that patients and physicians can access complete health information regardless of the provider. According to Anthropic Chief Product Officer Mike Krieger, the goal is to eliminate persistent healthcare silos to improve the delivery of care for millions of Americans.

Technical Implementation via Model Context Protocol (MCP)

Anthropic intends to apply the Model Context Protocol (MCP) to the healthcare interoperability challenge. MCP is a protocol created by Anthropic that allows AI systems to connect seamlessly with diverse data sources and applications.

In a healthcare context, this technology can serve as an intelligent bridge between incompatible systems. With patient consent, AI assistants powered by MCP can securely access data from:

• CMS Aligned Networks
• Personal health records

These assistants are designed to help patients better understand their health information and guide them toward appropriate care.

Ecosystem Collaboration and Data Integration

Anthropic is focused on building a partner ecosystem to aggregate clinical and non-clinical patient data, making it usable and actionable through Claude. This effort involves collaborating with several key stakeholders:

• Payers
• Providers
• Data platforms
• Consumer technology companies

Broader Strategic Implications for US Infrastructure

Beyond healthcare, Anthropic views the application of AI in this sector as part of a larger effort to maintain U.S. innovation leadership. The company intends to work with U.S. government policymakers to apply similar AI-driven efficiencies to other critical sectors, including science, energy infrastructure, and citizen services.