OntarioMD Enhances Privacy and Security Training Amid Growing Clinician Use of AI
OntarioMD Enhances Privacy and Security Training Amid Growing Clinician Use of AI
https://finance.yahoo.com/news/ontariomd-enhances-privacy-security-training-200300602.html
Publish Date: 2026-06-11 16:03:00
Source Domain: finance.yahoo.com
TORONTO, June 11, 2026 /CNW/ – OntarioMD (OMD) has launched new online Privacy and Security Training for the Healthcare Sector that addresses the growing use of Artificial Intelligence (AI) by clinicians. The course content, re-designed for ease of use, includes practical information and resources for using AI tools safely.
Protect what matters. OntarioMD’s Privacy and Security Training for the Healthcare Sector and Virtual Care Privacy and Security Training.
“Administrative burden remains a significant challenge across the health system, particularly for family physicians. Physicians want to explore technologies that can help, but they also need to be confident they are protecting patient privacy and meeting regulatory responsibilities,” said Dr. Chandi Chandrasena, Chief Medical Officer of OntarioMD.
AI scribes are showing promise in helping address the administrative burden by generating clinical notes during patient visits. By reducing time spent on documentation, these tools can help clinicians focus fully on patient care.
OMD’s Privacy & Security Training for the Healthcare Sector is a comprehensive online course on key privacy and cybersecurity concepts developed for clinicians working in community and hospital settings. It covers privacy legislation, i.e., Ontario’s Personal Health Information Protection Act (PHIPA), the obligations of Health Information Custodians (HIC) of personal health information (PHI) under the Act, the dos and don’ts for protecting PHI from security incidents and breaches, legal and professional obligations related to the use of AI tools, and cybersecurity tips and scenarios informed by real-world clinician experiences.
The newly updated course provides much-needed guidance for clinicians increasingly interested in AI’s potential, but who remain cautious about the implications for patient data and security.
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