Historically, diagnostic microbiology has been a discipline characterized by manual interpretation of cultures by trained technologists. However, recent advancements in robotics, liquid-based microbiology, and artificial intelligence have challenged this paradigm, with far-reaching implications for test performance and standardization, result interpretation, quality, accuracy, and analytics.
This Rounds presentation will discuss the benefits, limitations, and implementation strategies behind the introduction of automation and artificial intelligence solutions into the diagnostic microbiology laboratory, especially as it relates to public health microbiology applications.
Intended audience: Laboratory personnel, microbiologists, public health unit (PHU) staff working in data and analytics, researchers.
Note: For the best live experience, please ensure you are using a current version of Zoom (5.15.7 or higher) in Chrome or another modern browser to support interactive features.
By the end of this session, participants will be able to:
- Describe available and emerging automation and artificial intelligence technologies for the diagnostic microbiology laboratory
- Describe the benefits, limitations, and strategies of implementing automation and artificial intelligence technologies in the diagnostic microbiology laboratory
- Discuss how automation and artificial intelligence technology can benefit public health microbiology
Presenter(s): Dr. Lee Goneau
Dr. Lee Goneau, PhD, FCCM, completed his doctoral training at the Department of Microbiology & Immunology at Western University. Following his graduate studies, he completed a postdoctoral training program in clinical microbiology at the University of Toronto and became a Fellow of the Canadian College of Microbiologists. Since 2019, Dr. Goneau has been working as the National Director of Microbiology at Dynacare where he has led numerous initiatives, including implementation of SARS-CoV-2 testing, expanding the laboratory’s molecular diagnostics portfolio, and leveraging automation, artificial intelligence, and informatics to improve quality and patient care.
Disclaimer
The opinions expressed by speakers and moderators do not necessarily reflect the official policies or views of Public Health Ontario, nor does the mention of trade names, commercial practices, or organizations imply endorsement by Public Health Ontario.
Accreditation
Public Health Ontario Rounds are a self-approved group learning activity (Section 1) as defined by the Maintenance of Certification Program of the Royal College of Physicians and Surgeons of Canada (RCPSC). In order to receive written documentation for Continuing Medical Education (CME) credits, please check “Yes” beside the question “Do you require CME credits?” on the registration form.
College of Family Physicians of Canada (CFPC) Affiliate Members may count RCPSC credits toward their Mainpro+ credit requirements. All other CFPC members may claim up to 50 Certified credits per cycle for participation in RCPSC MOC Section 1 accredited activities.
PHO Rounds are also approved by the Council of Professional Experience for professional development hours (PDHs) for members of the Canadian Institute of Public Health Inspectors (CIPHI).
For more information or for a record of registration for other Continuing Education purposes, please contact capacitybuilding@oahpp.ca.
Accessibility
Public Health Ontario is committed to complying with the Accessibility for Ontarians with Disabilities Act (AODA). If you require accommodations to participate in this event, please contact 647-260-7100 or capacitybuilding@oahpp.ca.
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