IA · 24 July 2026 · 4 min read

OpenAI Launches ChatGPT Health Across the US: EHR Integrations, 300 Million Queries, and Legal Scrutiny

In brief: OpenAI has officially rolled out ChatGPT Health to all adult users in the United States, allowing direct connection with electronic health record platforms like Epic and Oracle Health alongside wearable apps. Processing over 300 million health queries weekly, the expansion highlights both the power of contextual AI and the legal complexities of medical guidance.

by Team Mocchi's

OpenAI Launches ChatGPT Health Across the US: EHR Integrations, 300 Million Queries, and Legal Scrutiny

From casual prompts to connected health records

OpenAI has officially made ChatGPT Health available to all U.S. users aged 18 and older across all subscription tiers on both web and iOS devices. The announcement transitions the feature from a limited hub test initiated earlier this year into a core capability of the platform, enabling users to attach their personal health data directly to the conversational model.

The feature allows users to connect electronic health records (EHR) from major hospital software providers including Epic and Oracle Health, alongside digital health and fitness applications such as Apple Health, MyFitnessPal, One Medical, Weight Watchers, and Function Health.

Data architecture and query volume

This integration marks a significant shift in how users interact with AI for wellness inquiries. As reported by TechCrunch, health-related queries handled by ChatGPT grew from 230 million to 300 million per week during the initial testing phase. Furthermore, OpenAI's usage metrics revealed that approximately 70% of health questions occurred within the standard chat interface rather than inside the dedicated health tab.

In response to these usage patterns, OpenAI unified the user experience. Connected clinical data can now be referenced directly within general chat conversations, subject to explicit user permission. On the security front, OpenAI confirmed that connected health information benefits from an additional layer of encryption at rest and in transit, reaffirming that personal medical records are not utilized to train its core language models.

Reasoning claims, clinical benchmarks, and legal scrutiny

The broader rollout relies on the latest models in the GPT-5.6 family, evaluated against domain-specific benchmarks such as HealthBench. However, the scope of these technical claims has sparked debate. According to The Verge, while OpenAI product leadership initially stated during a press briefing that current models reason at or above clinician levels, research leads later tempered the assertion, framing it around preliminary academic studies rather than definitive clinical equivalence.

The expansion also unfolds against an intensifying legal backdrop. Just prior to the launch, a lawsuit was filed against OpenAI in Florida, alleging that ChatGPT delivered misleading medical advice that caused a patient to delay critical care for a pulmonary embolism. OpenAI pointed to its Terms of Service, which state that its products are strictly not intended for medical diagnosis or treatment and do not replace professional healthcare providers.

Mocchi's take

The expansion of ChatGPT Health marks a decisive evolution from standalone conversational bots toward contextual engines connected to complex, highly regulated data stores like Electronic Health Records. For European and Italian software developers, this trajectory highlights where enterprise value is moving: the competitive moat lies in secure API integration and data orchestration rather than the raw capabilities of the underlying model.

At the same time, operating in markets governed by strict regulatory frameworks like GDPR and the EU AI Act demands even higher safeguards than those observed in North America. Building software that handles sensitive data requires rigorous privacy-by-design architectures, clear boundaries regarding output liability, and interfaces designed to assist rather than supplant human decision-makers. Seamless, secure data interoperability represents a massive opportunity for custom software, provided that data governance remains the uncompromised foundation.

Further reading

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