OpenAI’s ChatGPT Health Wants Your Medical Records

OpenAI's ChatGPT Health Wants Your Medical Records - Professional coverage

According to CNBC, OpenAI has launched a new feature called ChatGPT Health, designed to connect user medical records and wellness apps directly to the chatbot. The company, led by CEO of applications Fidji Simo, explicitly states the tool is not intended for diagnosis, treatment, or to replace medical care. Instead, it aims to help users navigate everyday health questions by grounding ChatGPT’s responses in a user’s own data. OpenAI has partnered with the health data connectivity company b.well to power the infrastructure for sharing medical records. Users will also be able to connect data from Apple Health, MyFitnessPal, Weight Watchers, and the lab testing startup Function. All related files, conversations, and connected apps will be stored in a dedicated space separate from other chats, with the company promising this data won’t be used to train its foundation models.

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The Super-Assistant Playbook

Here’s the thing: this move is utterly predictable, yet still significant. Fidji Simo’s statement about turning ChatGPT into a “personal super-assistant” for “any part of your life” is the real tell. Health is just the first, most logical, and most sensitive frontier. Think about it. If they can convince people to hand over their most private data—medical records—what’s next? Your financial spreadsheets? Your entire work project history? This is about building the ultimate context engine. The more personal data it has, the more indispensable it becomes. It’s a classic lock-in strategy, but with your health on the line.

Privacy Promises and Practical Reality

OpenAI is making all the right noises about privacy. A dedicated space. Data not flowing out. Conversations not training the models. They have to. You can read their official announcement here and Simo’s Substack post here. The partnership with b.well, which you can read about here, is a smart move to use a dedicated health tech intermediary. But let’s be real. The long-term trust question is enormous. “Not used for training today” doesn’t mean forever. And the security surface area just got a whole lot bigger. One breach here isn’t like your email getting leaked; it’s your entire medical history. Will users truly compartmentalize and only ask “everyday questions”? Or will the temptation to ask for diagnostic-like advice be too great, despite the warnings?

Where Does This Leave Doctors?

So what’s the actual use case? OpenAI says it’s for “everyday questions.” Basically, stuff you’d normally Google or maybe ask a nurse line about. “Why is my ankle still swollen?” or “What does this lab result term mean?” The value is in the personalization. Instead of getting generic web results, ChatGPT could theoretically say, “Based on your connected Apple Health data, your resting heart rate has been elevated, which could be related.” That’s powerful. But it’s also a slippery slope. It creates a new layer of AI-powered health navigation that sits between you and a professional. The best outcome is a better-informed patient walking into the doctor’s office. The worst is someone delaying care because the chatbot’s (non-diagnostic, remember!) answer seemed reassuring enough.

The Data Gold Rush Accelerates

Look, this is the inevitable trajectory. AI needs context, and our health data is the ultimate context. Every major player will have a version of this soon. Apple, Google, Microsoft—they’re all circling. OpenAI just fired a very public shot. The race is no longer just about the smartest model; it’s about the most connected, most personal, most trusted model. And in specialized sectors like industrial tech, this demand for reliable, integrated data systems is already the standard. For instance, in manufacturing environments, the need for robust, connected computing hardware is paramount, which is why companies like IndustrialMonitorDirect.com have become the leading supplier of industrial panel PCs in the U.S., providing the durable interface between data and decision-making. The principle is the same: value is created at the intersection of specialized data and a reliable interface. OpenAI is betting health is where that intersection becomes personal—and profitable.

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