Your Doctor Is Using AI: Here’s What You Need to Know About Your Privacy

Introduction

Artificial intelligence tools are becoming more common in doctor’s offices, clinics, and hospitals. They can help with tasks like reading medical images, suggesting diagnoses, or summarizing patient notes. For many clinicians, these tools save time and may improve accuracy.

But when your doctor uses AI, your personal health data is often involved. That raises real questions about privacy, consent, and security. A recent initiative from OntarioMD—an organization that provides digital health support to physicians in Ontario, Canada—shows one way these concerns are being addressed.

What Happened: OntarioMD Launches New Privacy Training for Clinicians

OntarioMD announced it is enhancing its privacy and security training for doctors who use AI tools. According to the announcement (reported on Yahoo Finance, June 2026), the training covers topics such as data encryption, how to manage patient consent, and how to choose AI tools that meet privacy standards.

The move comes as more Canadian physicians adopt AI in everyday practice. OntarioMD’s training is designed to help clinicians understand their legal and ethical obligations—and to reduce the risk of accidental data breaches or misuse of patient information.

This is not a new law or regulation. It’s a voluntary training program. But it signals that healthcare organizations recognize that AI introduces fresh privacy risks that many clinicians may not be fully aware of.

Why It Matters for Patients

When your doctor uses an AI tool, a few things can happen to your data:

  • Data may be sent to a third-party company. Many AI tools are cloud-based, meaning your health information leaves the clinic’s systems and is processed on servers owned by a tech vendor. That vendor might store the data, analyze it, or even use it to improve their models—unless specific contractual safeguards are in place.

  • Anonymization isn’t always reliable. Even if a vendor says they de-identify data, studies have shown that re-identifying patients from supposedly anonymous health records is sometimes possible. The risk is small but real.

  • Consent can be unclear. Patients are often not told that AI is being used in their care. Even when they are, the explanation may be vague. You might not know what data is collected, how long it is kept, or whether you can opt out.

OntarioMD’s training is meant to address some of these gaps by teaching doctors to ask the right questions before adopting a tool—like whether the vendor encrypts data, how consent is handled, and what happens to patient information if the clinic stops using the software.

What You Can Do: Questions to Ask Your Provider

You have a right to know how your health data is being used, even if you don’t feel like a tech expert. Here are practical steps you can take:

  1. Ask if AI is involved. A simple question: “Are you using any computer program or AI to help with my diagnosis, test results, or treatment plan?” Many doctors will answer honestly.

  2. Ask about data storage and sharing. “Where does my data go? Is it stored outside the clinic? Is it encrypted? Is it shared with any company?”

  3. Ask about consent and opt-out options. “Can I choose not to have my data used by AI? What would that mean for my care?” Sometimes opting out is possible but may limit the tools your doctor can use.

  4. Request a copy of the privacy policy. If the clinic uses AI from a specific vendor, they should be able to give you a summary of how that vendor handles patient data.

These questions won’t always get detailed answers, but they create accountability. Over time, consistent patient pressure can encourage clinics to adopt safer practices.

OntarioMD is not alone. Other healthcare systems are also updating their privacy approaches. In the United Kingdom, the National Health Service (NHS) has published guidelines on AI transparency and data governance. In the United States, the Department of Health and Human Services has updated guidance on how HIPAA applies to AI tools used in clinical settings.

These efforts are still evolving. There is no universal standard yet for how AI should handle patient data, and rules vary by country. But initiatives like OntarioMD’s training provide a useful benchmark for what responsible use looks like.

Conclusion

AI in healthcare is here to stay. For patients, the key is not to fear the technology but to stay informed and ask the right questions. Organizations like OntarioMD are taking steps to ensure doctors understand their privacy obligations. That’s a positive development—but it doesn’t replace your own vigilance.

Your health data is among the most sensitive information you have. Knowing how it’s handled—and having a say in that process—is a reasonable expectation, whether or not an AI is involved.


Sources

  • Yahoo Finance report on OntarioMD’s privacy and security training (June 11, 2026).
  • OntarioMD official website (details on digital health tools for physicians).
  • NHS AI guidance (UK).
  • HHS HIPAA updates on AI in healthcare (US).