86. Artificial Intelligence In Medicine 2026 - Adoption, Impacts & Privacy | Dr Chandi Chandrasen...

In this episode, Dr. Jordan Vollrath discusses the latest insights into AI adoption in healthcare with Dr. Chandi Chandrasena and Ariane Siegel from Ontario MD. They explore survey results, practical applications, challenges, and the future of AI in clinical practice. Hosted by Dr Jordan Vollrath and produced by Cherry Health 00:00 – Introduction to the Ontario AI survey and its significance 01:14 – Survey goals and what the data reveals about AI use in clinics 02:19 – Adoption rates of AI tools among clinicians, with a focus on AI scribes 03:24 – Why AI scribes are the most popular and their role in workflow efficiency 04:33 – Clinical decision support tools and their current usage 05:25 – Barriers to AI adoption: safety, privacy, and cost concerns 06:44 – Overcoming reluctance: building confidence and trust in AI 07:39 – Legal, regulatory, and standards considerations for AI in healthcare 12:46 – Rapid evolution of AI error rates and implications for clinicians 13:43 – Developing standards and vetting processes for AI tools 16:11 – Advice for clinicians starting with AI and the importance of critical evaluation 19:27 – Upcoming Ontario MD digital health conference and key themes 25:12 – The broader impact of AI on healthcare practices and trust 26:59 – Resources and support for AI adoption in healthcare Connect with us! Dr Chandi Chandrasena on LinkedIn:   / chandichandrasena   Ariane Siegel on LinkedIn:   / ariane-siegel-54a9302   Dr Jordan Vollrath on LinkedIn:   / jordanvollrath   Look forward to more conversations on AI and technology in medicine at the Digital Health Conference 2026 happening October 1st and 2nd in Toronto. Throughout the conference, participants can expect practical case studies, implementation insights, and real-world examples from community healthcare settings, with a focus on scalable solutions that improve clinician experience and patient care. Planned conference themes include: 1. Artificial Intelligence in Clinical Practice - Exploring emerging AI applications that support clinical workflows, preventive care, decision support, and patient engagement while promoting safe and responsible implementation. (Privacy & Security) 2. Reducing Administrative Burden and Reclaiming Clinician Time - Showcasing approaches that streamline documentation, coding, billing, research administration, and routine clinical processes to improve practice efficiency and reduce burnout. 3. Modernizing Patient Access and Practice Workflows - Examining digital solutions that enhance patient intake, registration, attachment, communication, and care coordination across community practices. 4. Building Trustworthy Digital Health Infrastructure - Discussing governance, knowledge management, standards, and implementation considerations that enable reliable AI-supported clinical decision making. 5. Virtual Care and Digital Transformation - Sharing practical lessons on integrating virtual care and digital tools into routine practice to improve access, continuity, and measurable outcomes. 6. Electronic Medical Record (EMR) Optimization - Demonstrating innovative uses of EMRs, standardized workflows, digital forms, and automation to support quality improvement and operational efficiency. 7. Next Generation Clinical Support Tools - Highlighting emerging intelligent assistants, conversational AI, and large language model applications designed to augment not replace clinical practice. Learn more: Find out about Cherry Health's medical and healthcare recruiting solutions: https://ca.cherry.health/ Visit www.ontariomd.live (https://www.ontariomd.live) for more conference information Subscribe to Leaders in Healthcare for more of the innovators and experts shaping healthcare. #AIinHealthcare #MedicalAITools #AIAdoption #ClinicalDecisionSupport #AIEthics #HealthcareInnovation