OpenAI and Anthropic have launched specialized AI platforms for healthcare, emphasizing integration with existing medical systems, compliance with healthcare regulations, and secure handling of sensitive data.

OpenAI and Anthropic have announced new healthcare-oriented AI offerings designed to operate within regulated clinical and life sciences environments. These platforms extend beyond general conversational AI, focusing on technical integration, interoperability, and governance to fit seamlessly into existing healthcare infrastructure.
Anthropic's Claude for Healthcare and Life Sciences
Anthropic introduced Claude for Healthcare and expanded Claude for Life Sciences, featuring connectors to authoritative external systems. For healthcare providers, these include:
- CMS Coverage Database for coverage determinations
- ICD-10 for diagnosis codes
- National Provider Identifier Registry for provider verification
For life sciences, Claude connects to clinical trial platforms, supporting tasks like trial design, enrollment analysis, and regulatory preparation. New agent skills include FHIR-based data exchange, prior authorization templates, and clinical trial protocol drafting, positioning Claude as a workflow-oriented tool.
OpenAI's Healthcare Package
OpenAI launched OpenAI for Healthcare, combining ChatGPT for Healthcare with a HIPAA-configured OpenAI API. Key features:
- Role-based access controls
- Centralized identity management via SAML/SCIM
- Audit logging and customer-managed encryption keys
- Optional Business Associate Agreements
The platform supports retrieval from medical sources and internal documents, enabling use cases like clinical documentation support and care coordination. Vendors are already using the API for applications in ambient documentation and discharge workflow management.
Data Privacy Concerns
Both companies offer optional personal health data integrations with granular permissions. However, concerns remain about oversight. As one Reddit user noted, "Claims about data exclusion need independent verification."
The Shift to Integrated AI
These releases reflect a broader trend: healthcare AI is moving from general models to specialized platforms that prioritize:
- Standards compliance (HIPAA, FHIR)
- Traceability and auditability
- Controlled access to structured data
By embedding AI directly into clinical workflows rather than offering standalone tools, OpenAI and Anthropic aim to create infrastructure components that operate within existing regulatory frameworks.

Robert Krzaczyński is a software engineer specializing in AI applications for healthcare. He holds degrees in Control Engineering and Computer Science.
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