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Major AI players, OpenAI and Anthropic, expand into healthcare

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Two major artificial intelligence companies, OpenAI and Anthropic, are accelerating their expansion into healthcare. The move signals a shift in how AI may support patient care, clinical operations and health system oversight.

OpenAI has launched ChatGPT Health, a dedicated health environment within ChatGPT. The tool allows users to store personal health information, wellness data and AI-supported health conversations in one place. Unlike general chats, the platform keeps health interactions separate and applies added protections for sensitive data. OpenAI says the system encrypts health chats, isolates them from other conversations and excludes them from model training.

ChatGPT Health allows users to connect data from platforms such as Apple Health, MyFitnessPal and Function. In the United States, users can also link electronic medical records through secure networks. Once connected, the tool can summarize medical histories, explain test results in plain language and identify trends across health metrics. It can also help users prepare questions for medical appointments. OpenAI says the feature is intended to support, not replace, professional medical advice and includes prompts directing users to seek clinical care when appropriate.

Anthropic has introduced Claude for Healthcare, a suite of HIPAA-ready tools designed for healthcare providers, payers and life sciences organizations. Claude can connect to industry-standard systems, including coverage databases, diagnostic coding frameworks and provider registries. These tools support tasks such as prior authorization reviews, claims appeals, care coordination and regulatory documentation.

Anthropic has also expanded Claude’s life sciences capabilities. The company added tools to support clinical trial operations, regulatory submissions and biomedical research workflows.

Together, the announcements reflect growing competition in health-focused AI. They also suggest increasing confidence in deploying large language models in regulated healthcare settings. For regulators and healthcare leaders, the developments raise questions about governance, accountability and public protection as AI takes on a larger role in health decision-making.

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