What Ontario’s New AI Training for Doctors Teaches Everyone About Privacy

OntarioMD, the organization that provides digital health services to Ontario physicians, recently updated its privacy and security training for clinicians who use artificial intelligence. The update responds to the rapid adoption of AI tools in medical settings—doctors are using everything from AI scribes to diagnostic assistants. While the training is aimed at healthcare professionals, the core privacy lessons apply to anyone using AI chatbots, medical symptom checkers, or even productivity apps that process personal information.

Here’s what the training covers and how you can apply the same habits to protect your data.

What happened

OntarioMD announced that it has enhanced its privacy and security training to address the specific risks of AI. According to the news release (reported by Yahoo Finance on June 11, 2026), the training emphasizes data minimization, consent, and encryption—principles that help clinicians avoid exposing sensitive patient information when using AI tools. The update comes as more clinicians turn to public-facing AI models that may not comply with healthcare privacy laws like PHIPA or HIPAA.

Why it matters (even if you’re not a doctor)

The same risks clinicians face turn up in everyday AI use. When you paste a medical question into a free chatbot or upload a prescription photo to an app, you are effectively sharing health information with a company that may store it, use it for training, or fail to secure it properly. Many consumer AI tools are not designed to protect sensitive data. The three core habits from OntarioMD’s training—data minimization, explicit consent, and encryption—are just as important when you’re the one deciding what to share.

What readers can do

Here are the most practical takeaways from the training, translated for general use.

1. Share the least information possible. OntarioMD’s training stresses “data minimization.” Before you type anything into an AI tool, ask: Does it need this detail to work? For example, if you’re asking about a symptom, avoid sharing your name, address, or full medical history. Use generic terms when possible. The less you provide, the less can be leaked or misused.

2. Assume AI outputs are not private unless confirmed. Many people assume that a conversation with an AI is confidential. It often isn’t. Check the privacy policy of any tool you use. Look for phrases like “data may be used to improve the model” or “shared with third parties.” If the policy is vague, treat everything you type as public. OntarioMD’s training explicitly warns clinicians against entering patient identifiers into public AI services.

3. Secure your account with strong passwords and two-factor authentication. This might sound basic, but it’s a core part of the training. If your AI tool stores any history—such as previous conversations or uploaded files—a weak password puts that history at risk. Enable two-factor authentication whenever it’s offered. Use a password manager so you don’t reuse passwords across services.

4. Understand what “consent” means in context. In healthcare, patients must give informed consent before their data is used. For consumers, consent is often buried in a terms-of-service agreement. Before signing up for a new AI app, ask yourself: Am I comfortable with this company having this data forever? If not, look for a tool that gives you more control—for instance, one that lets you delete data after use.

5. Use encrypted channels for sensitive inquiries. If you must share health information (e.g., with a telehealth platform), confirm that the connection is encrypted. Look for “https” in the URL and check whether the app uses end-to-end encryption. OntarioMD’s training highlights encryption as a key safeguard for patient data.

A simple checklist before you use any AI tool

  • Have I removed identifying details from my input?
  • Have I read the privacy policy to see if my data is stored or shared?
  • Is my account protected by a strong, unique password and 2FA?
  • Does the tool offer a way to delete my data later?
  • Am I comfortable with this company having the information I’m about to share?

If you answer “no” to any of these, reconsider whether the tool is worth the risk—or limit what you share.

What this means for the future

OntarioMD’s update is a sign that privacy standards are catching up with AI usage. As more organizations recognize that public AI models were not built for sensitive data, similar training will likely spread to other sectors. The lessons are straightforward: assume nothing is private, share minimally, and secure your accounts. You don’t need to be a doctor to follow them.

Sources

  • “OntarioMD Enhances Privacy and Security Training Amid Growing Clinician Use of AI.” Yahoo Finance, June 11, 2026. (Link via Google News; article details may vary.)