How to Talk to Your GP After Using an AI Chatbot
The rise of generative AI chatbots powered by large language models (LLMs) has transformed how many people seek health information. Instead of typing queries into search engines and sifting through pages of links, patients now ask chatbots for quick, conversational answers to medical questions. But when you take AI health advice to your General Practitioner (GP), how should you approach the conversation? How can you ensure your doctor understands what you found, while also maintaining trust and openness in the patient doctor relationship?
In this article, we will explore the shifting landscape of health information seeking, highlight key limitations of LLM-based AI chatbots, and offer practical tips on bringing AI-generated health information into your next GP appointment. Along the way, we’ll reference trusted evidence sources like The Cochrane Collaboration and its renowned Cochrane Library, providing a framework to anchor your conversations in reliable evidence rather than solely AI-generated text.
The Shift from Search Engines to AI Chatbots for Health Questions
For decades, online health information seekers relied on search engines like Google to find answers. They had to pick and choose from a variety of websites, often needing to discern reliability, timeliness, and relevance themselves. The emergence of generative AI chatbots—software that can produce human-like, free-text responses—promises a new era:
- Conversational interaction: Users engage in dialogue rather than fragmented searches.
- Summarisation: Chatbots can condense complex information into digestible answers.
- Accessibility: AI chatbots are available 24/7 and can reduce the cognitive load on users.
However, these advantages come with significant caveats. Unlike search engines that provide links to specific sources for further reading, many AI chatbots generate text probabilistically, predicting what comes next rather than certifying truth. Hence, trust remains the biggest limiting factor in their use for health advice.
Trust: The Core Challenge in AI Health Advice
When using AI chatbots for health-related questions, the issue is not only accuracy but trustworthiness. Trust in medical information depends on rigorous evidence, transparent sourcing, and acknowledgment of uncertainty.
Large language models do not actually understand the content; instead, they generate responses based on patterns learned during training on vast amounts of text data. This means:
- They can sometimes “hallucinate”: Inventing facts, details, or entire citations that sound plausible but are false.
- They lack accountability: They cannot verify the validity of their statements or the risk/benefit balance of health interventions.
- They do not update dynamically: Their knowledge cutoffs mean recent breakthroughs in medicine or public health might be missing.
Therefore, while AI chatbots can be helpful starting points, the patient doctor relationship must incorporate critical appraisal and dialogue. To that end, knowing how to bring these AI-generated outputs—along with a dose of healthy skepticism—to your GP is vital.
Large Language Models (LLMs) Predict Text—they Do Not Understand Truth
It is crucial to distinguish between “predicting” and “knowing.” LLMs are statistical models trained to predict the most likely next word(s) in a sequence given a prompt. They do not possess understanding or beliefs, nor the ability to access real-time or validated databases.
Understanding these differences shapes realistic expectations. AI chatbots can complement but should never replace evidence-based sources or professional advice.
Hallucinations and Invented Citations: Why Verification Matters
One of the well-documented risks in AI health advice is hallucination—the phenomenon where an AI generates details or citations that do not actually exist. For example, a chatbot might produce a plausible-sounding study name from The Cochrane Collaboration or Cambridge University Press that cannot be found in the Cochrane Library or other databases.
For patients, this can cause confusion or unfounded reassurance. For GPs, it can create barriers to efficient communication if false "sources" need to be tracked down or debunked.
This is why bringing actual sources—not just AI-generated text—is fundamental. When possible:
- Note down or screenshot exact titles, URLs, or references from trusted databases like the Cochrane Library.
- Double-check that any cited studies or guidelines truly exist;
- Be transparent about where the AI's information came from and clarify it has limitations;
- Ask your doctor to clarify or interpret the info within your personal health context.
How to Talk to Your GP After Using an AI Chatbot
Armed with this background, here are practical steps to ensure a productive conversation with your GP about AI health advice.
1. Prepare Your Notes
Before your visit, write down the questions you asked the AI chatbot and its responses—especially if it suggested specific treatments, symptoms, or references. If the chatbot offered sources, verify them if you can, or bring screenshots.
2. Frame Your Inquiry as a Starting Point, Not a Conclusion
Start your conversation by saying something like: “I tried an AI chatbot to understand my symptoms. It mentioned XYZ, but I want to check it with you.” This signals openness rather than confrontation or self-diagnosis, helping maintain trust.
3. Ask for Your Doctor’s Expertise
Use the opportunity to tap into your GP’s training and access to evidence-based tools like the Cochrane Library. For example: “The chatbot mentioned some research from The Cochrane Collaboration. Can you help me understand what that means for me?”
4. Discuss Risks and Benefits Openly
AI chatbots rarely provide balanced views on harms or uncertainties. Encourage your GP to talk about potential risks of any intervention or lifestyle change you’re considering, improving shared decision-making.
5. Avoid Taking Chatbot Advice as Definitive
Neither you nor your doctor need to accept AI responses uncritically. If the advice seems incorrect or implausible, ask why it might be misleading or incomplete. This modeling of healthy skepticism benefits your ongoing health literacy.
6. Ask About Trusted Sources
Request recommendations for reliable, patient-friendly resources such as The Cochrane Library. Becoming familiar with systematic reviews and evidence summaries helps you develop independent judgment over time.
Summary
The rise of generative AI chatbots marks a significant shift in how patients seek health information. However, large language models that underpin these tools predict plausible text rather than verify truth, making trust the key limitation in AI health advice.
When discussing AI-derived health information with your GP:
- Bring any cited sources and check their authenticity, referencing trusted repositories such as the Cochrane Library.
- Approach the conversation as collaborative, seeking clarity and professional interpretation.
- Maintain awareness that AI outputs can hallucinate and lack nuance on harms and uncertainty.
- Use your GP’s expertise and evidence-based databases like those from The Cochrane Collaboration to complement AI information.
This approach strengthens the patient doctor relationship, ensuring AI serves microsoft copilot health queries as a helpful tool rather than a confusing or misplaced authority.
Resources to Explore
- The Cochrane Collaboration – International network producing high-quality systematic reviews
- Cochrane Library – Access to reliable evidence summaries and clinical guidelines
- NHS Choices – Trusted patient information from the UK’s National Health Service
Remember: AI chatbots can be a great starting point—but the best health decisions emerge from combining technology with human expertise and trustworthy evidence.