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To reduce the risk of exposing sensitive health information to an AI chatbot, share only what is needed, remove identifying details, and check the exact service’s privacy settings and notice before you type. In the United States, HIPAA does not automatically cover an ordinary chatbot just because you discuss medical information with it.
Does HIPAA protect what you tell an AI chatbot?
Not necessarily. In the United States, HIPAA applies to covered entities—such as health plans, certain health care providers, and clearinghouses—and to business associates handling protected health information for them. It does not automatically apply to every company that receives health information. The FTC’s health-breach guidance explains the distinction and discusses consumer health apps separately.
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That means a medical question entered into a general-purpose chatbot should not be assumed to have HIPAA protection. But it is also too broad to say health information outside HIPAA is never protected. The FTC Act and, for certain consumer health apps and personal health record vendors, the Health Breach Notification Rule may apply. Applicability depends on the app’s role, technical capacity, and data flows; the FTC’s Mobile Health Apps Interactive Tool helps developers assess which rules may apply.
For highly sensitive information, consider whether a chatbot is necessary. A clinician or a channel specifically provided by your health organization may be more appropriate for care-related questions. A company’s privacy statements describe its own practices; they are not independent verification that a service is secure.
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Before you enter health information
Check the exact service and feature
Read the current privacy notice for the service, account type, plan, and feature you intend to use. Look for what information is collected, how it is used or shared, whether people may review it, whether it may be used to improve models, how long it is retained, and what deletion covers. Settings and terms can differ between products and plans, so do not assume one chatbot’s controls apply to another.
Review what controls such as chat history, temporary chats, memory, and model-improvement settings actually do. Turning off model training does not, by itself, establish that a service stores nothing. Disable optional features that do not fit your preferences, and check whether the change applies to the specific conversation or connected data you plan to use.
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Think carefully before connecting another account
A portal, wearable, or health app connection can share information beyond the text you type. Before linking one, check which source and data categories are involved, what permissions you are granting, and how to disconnect it later. Connect only what is needed for the task.
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For example, OpenAI’s ChatGPT Health privacy and security page says eligible users can connect supported sources, including Apple Health on iOS, supported U.S. provider portals, One Medical, and Function Health. The page describes user-managed connections and data categories. Availability and details are product-specific and may change.
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Share the minimum necessary
A short, general description or redacted excerpt is usually a safer starting point than a complete medical record. The FTC’s mobile health app best-practices guidance recommends data minimization and reducing the risk that information can be re-identified. Its developer-focused principle is simple: “If you don’t collect data in the first place, you don’t have to go to the effort of securing it.” That is useful as a privacy principle, not a legal guarantee for consumers.
- Remove your name, date of birth, address, phone number, email address, patient or insurance numbers, and other direct identifiers.
- Do not upload a full record, portal screenshot, insurance card, prescription label, or other document when a limited excerpt will answer the question.
- Leave out passwords, one-time codes, portal login details, and access tokens. A chatbot prompt is not a place to enter credentials.
- Consider details that may identify someone in combination, such as a rare diagnosis, exact dates, a precise location, or a small community. Removing a name does not necessarily make a record anonymous.
- When asking about another person, avoid sharing their identifying details unless you have a clear reason and permission to do so.
For instance, a question about whether a medication commonly causes drowsiness may not require your full name, prescription label, or portal record. Include only the context needed to make the question useful, and consult a clinician or pharmacist for advice about your specific treatment.
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Review what happens after the conversation
Afterward, look over the conversation and uploaded files, as well as any connected sources or saved memories. Delete information you no longer need using the service’s current controls. If you connected an account, revoke access both in the chatbot and at the source when possible. Check whether the service treats synced data, conversation history, saved memories, and backups differently.
ChatGPT Health illustrates why those distinctions matter. OpenAI says disconnecting a Health source deletes synced data from its systems within 30 days, but information already included in conversation history remains until you delete those conversations. The page also says Health conversations can create memories when memory is enabled, with separate memory controls. These are OpenAI’s statements about ChatGPT Health, not a general rule for other chatbots or even every ChatGPT conversation.
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OpenAI also says connected medical records and Apple Health information, and conversations that use them, are not used to train its foundation models or target ads. Conversations that do not use connected Health data follow standard ChatGPT model-training settings. OpenAI’s ChatGPT Health announcement describes optional connections and additional controls; it is the company’s account of its product, not an independent security assessment. Check the live notice and settings before relying on any of these details.
Secure the account and device
Privacy controls cannot protect an account that someone else can access. Use a unique password, enable multifactor authentication if the service offers it, and lock the device you use. The FTC’s December 2022 best-practices guidance for mobile health app developers recommends complex passwords and considering multifactor authentication where risks are substantial. A physical security key can be an optional sign-in aid for a compatible service, but it does not control what the provider retains or does with prompts.
Compare privacy practices, not slogans
There is no evidence-based universal ranking of chatbot privacy in the sources reviewed here. When comparing services, use the same questions for each and look for current, specific answers:
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- Are prompts used for model improvement by default, and can that use be changed?
- Can people review conversations, and what retention and deletion rules apply?
- How do history, temporary chats, and memory work?
- What data can connected apps or accounts share, and how can access be revoked?
- Do practices differ by account type, plan, region, or feature?
- Does the service offer a defined healthcare or business arrangement for clinical use?
Google’s health privacy page says Health Connect lets users manage which apps have access and which data types they share, and that Google Health data is not used for ads in the Google Health context described there. Those statements should not be extended to all Gemini conversations or all Google products.
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