Syed Fayyaz H. Rizvi MD

Dr. Syed Fayyaz H. Rizvi is a family medicine resident physician and health-technology entrepreneur based in Ontario, currently completing residency training at the University of Toronto (Southlake Regional Health Centre). His work sits at the intersection of frontline clinical care, implementation-focused research, and digital innovation, aimed at reducing administrative burden, improving access, and enabling safer, technology-supported care delivery in busy outpatient settings.

Dr. Rizvi completed his MD at McMaster University and a BSc (Hons) in Biological Sciences (with distinction) at Brock University, where he began early work exploring 3D printing applications in healthcare. During the COVID-19 pandemic, he co-founded 3DPPEGTHA, a non-profit initiative that mobilized 150+ 3D printers to produce 25,000+ face shields for frontline workers, an experience that reinforced his commitment to pragmatic, scalable solutions when the health system is under pressure.

Throughout training, Dr. Rizvi has built a portfolio spanning clinical scholarship, quality improvement, and applied product development. He has contributed to multiple peer-reviewed projects, including Parkinson’s disease meta-analyses, surgical randomized controlled trials, case reports, and emergency medicine reviews. He also co-founded and co-led the Kitchener–Waterloo Society for Innovation in Medicine, connecting engineering and medical trainees to validate and test biomedical technologies in real clinical environments—bridging early-stage prototyping with real-world clinical workflows.

As a co-founder of Medini, an AI-powered virtual medical administrative assistant, Dr. Rizvi has extensive hands-on experience navigating EMR ecosystems and integration constraints across platforms such as OSCAR Pro/Open, QHR/Accuro, PS Suite, and TELUS CHR. He has also worked with ambient scribe technologies, including VeroScribe, with international deployments and collaborations (including work in Saudi Arabia). In parallel, he remains active in adjacent initiatives—including elderly-care AI tools and physician billing analytics—while staying engaged with the Ontario Medical Association and broader Canadian digital health networks. This combination of clinical grounding and implementation experience positions him as a practical, outcomes-oriented leader in technology-enabled care.

Leveraging Technology in Primary Care

Dr. Rizvi is focused on responsibly applying AI and digital tools to improve both patient experience and clinician sustainability:

a. Ambient AI Technology: Supporting real-world deployment of ambient AI documentation tools to reduce administrative load and enable clinicians to spend more time in direct patient care—grounded in practical workflow integration and usability, informed by experience with scribe platforms and outpatient implementation.

b. Measurement-Based Care: Applying a measurement-driven approach to improvement, using structured metrics (e.g., documentation time, after-hours workload, patient experience signals, no-show rates, adoption/usage rates, and safety/process indicators) to evaluate interventions, iterate workflows, and ensure technology delivers meaningful benefit in clinical practice.

c. EMR Integration and Interoperability: Building solutions that work within real-world EMR constraints, with hands-on experience across OSCAR Pro/Open, QHR/Accuro, PS Suite, and TELUS CHR ecosystems prioritizing secure data flow, workflow alignment, and reliability to support scalable adoption.

d. AI-Powered Clinical Decision Support: Developing decision-support capabilities that augment (not replace) clinician judgment such as visit-type logic, intake-driven routing, urgency/safety guardrails, and operational insights that help teams make consistent, evidence-aligned decisions while reducing cognitive load.

e. Physician Billing Analytics and Practice Insights: Advancing tools that transform billing and operational data into actionable insights—supporting clinic sustainability and reducing avoidable revenue leakage without increasing administrative work.

f. Implementation, Quality Improvement, and Clinician Well-Being: Applying a QI-informed approach to technology rollout—prioritizing measurable impact, privacy-aware workflows, change management, and clinician experience, with the goal of reducing cognitive load, after-hours documentation, and burnout while improving care continuity.