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Ask directly whether an AI tool was involved in your visit, records, recommendation, or care communication—and what a clinician did to review its output. You can say: “Was an AI tool used to summarize my visit, make or inform a recommendation, or communicate information about my care? If so, how did you review its output, and what limitations should I know about?” The Agency for Healthcare Research and Quality recommends asking about these specific uses and how clinicians validate AI-generated information. AHRQ patient guidance
What to ask your doctor
Start neutrally and name the parts of care you want to understand. AI may be involved in documentation or communication as well as in tools that inform clinical decisions, and its use may not be obvious to a patient.
“I have a question about how technology is used in my care. Was an AI tool involved in my visit, my records, or a recommendation?”
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If the answer is yes—or if you are unsure—ask follow-up questions that clarify the tool’s role, the clinician’s oversight, and what happened to your information:
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- “What was the tool used for in my case?”
- “Did it influence a diagnosis, prognosis, treatment recommendation, or care decision, or was it used for administrative help?”
- “How did you or another clinician review and verify its output?”
- “What limitations or risks should I know about for someone in my situation?”
- “Was information from my visit recorded or processed, and how is it handled?”
- “If I have concerns, can a clinician review the decision or correct the record?”
These questions reflect AHRQ’s guidance to ask whether AI was involved in summarizing a visit, generating a recommendation, or communicating clinical information. The FDA, Health Canada, and MHRA transparency principles also identify patients and caregivers as audiences for information about medical-device performance and use. Read the joint transparency principles.
Understand what “AI was used” means
AI in healthcare can describe different kinds of systems, including documentation tools, clinical decision-support tools, machine-learning-enabled medical devices, and patient-facing chatbots. A yes-or-no answer alone may not tell you whether the tool helped with paperwork, shaped a recommendation, or affected a decision about your care. Ask what it did in your specific case and whether a clinician checked or could override its output.
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AHRQ notes that clinicians may not always have detailed information about a tool’s performance or limitations, particularly when implementation support is limited. If your doctor cannot answer a technical question, you can ask who at the practice or health system can explain the tool’s role and data handling. AHRQ’s July 2025 issue brief discusses these patient and clinician considerations.
When disclosure and consent matter
The American Medical Association’s ethics guidance says patients should be informed when AI meaningfully influences diagnosis, prognosis, or treatment, or when its use raises material questions about privacy, accuracy, or data handling. It advises clinicians to err toward disclosure when uncertain. The AMA also describes informed consent as appropriate when AI meaningfully affects diagnosis, prognosis, or treatment in ways that affect patient risk, autonomy, or decision-making, and recommends offering a chance to refuse or opt out of non-emergency, high-risk AI use. These are professional ethics recommendations, not a universal legal rule; legal requirements depend on jurisdiction and use. AMA clinical practice toolkit.
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AMA policy H-480.931 says AI use that affects access to care or point-of-care medical decisions should be disclosed and documented to physicians and/or patients in a culturally and linguistically appropriate manner, and that a patient or caregiver should be able to request additional review by a licensed clinician. This is association policy, not itself a statute or regulation. AMA PolicyFinder: H-480.931.
If something in your records or plan seems wrong
Tell the care team which summary, message, or recommendation is inaccurate or unclear, and ask for a clinician to clarify it or correct the record. AHRQ notes that patient feedback can help identify errors. Keep the conversation focused on the information that needs review and the next step you are requesting.
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Using consumer AI to prepare for care
A consumer chatbot may help you organize questions or learn general information, but it should not replace a clinician’s advice or be used for emergency guidance, diagnosis, or treatment decisions. Avoid sharing personal or identifying health information with a chatbot unless you understand how it handles that data. The AMA’s May 2026 patient guidance emphasizes using AI to complement, not replace, advice from doctors. AMA patient guidance.
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