Weekly. Thursdays, October 9 - December 11, 2025 11:00 AM - 12:00 PM ET Sessions are Live. Interactive. Online  Recordings are available for missed sessions. Instructor Laurie Lafleur, MBA, CIIP: Healthcare IT Consultant; Professor, Health Information Science, Conestoga College; NIHI Instructor

Participants completing this course will gain a comprehensive understanding of the three main areas of Artificial Intelligence (AI) - narrow, general, and super, Machine Learning, Neural Networks, Natural Language Processing and Deep Learning, within the context of healthcare. It will explore related fields, including the use of robotic technologies, clinical decision support, and electronic medical records.

The course covers various ethical issues raised from the use of AI, and other important considerations such as: regulations, data privacy, cybersecurity and data protection, and AI in contrast to public health policy aims. We will also apply the application of new AI technologies to stakeholders’ views of value, including clinicians, patients, vendors, payers, and even the investment community and capital markets. Throughout the course, we will review real-world examples, and other thought leaders’ views and articles. Most of the weekly sessions will include a dedicated discussion of the “Applications” and potential “Implications” for the use of AI in health care covered in that session’s topics.

After completing the course, you will be awarded a NIHI - McMaster CE microcredential. A microcredential is issued in a digital format, provides details of acquired competencies, and is shareable and transportable.

Topics Covered:

• Introduction to Artificial Intelligence
• Main Areas of AI (narrow, general, and super)
• Machine Learning & Neural Networks
• Natural Language Processing
• Use Cases and Implementation Models
• Building a Business Case for AI
• Performance Monitoring
• Privacy and Cyber Security
• Regulatory Frameworks
• Legal and Ethical Considerations

Competencies Achieved

• Describe the types and subsets of Artificial Intelligence.
• Identify appropriate use-cases for AI in diverse healthcare settings.
• Understand the regulatory requirements for various types of AI in healthcare.
• Apply a multi-disciplinary perspective to define the value of AI in healthcare to support business case development.

Intended Audience

• Healthcare professionals and technology leaders
• Chief executive officers
• Chief information officers
• Chief technology officers
• Technologies managers
• Risk managers involved in data management
• Data Scientists
• Business Intelligence Analysts
• Systems / Business Analysts
• Database Administrators
• Technical architects and developers who design and build cloud, mobile, social media and IOT solutions, and other analytics solutions
• Anyone interested in artificial intelligence and its applications throughout the public and private sector

Registration Fee

	Regular Fee
Individual Rate	$899

REGISTER HERE

 

 

All fees are subject to HST. HST#R857676894
Payment can be made by VISA, MC or AMEX.

Cancellation and Refund Policy

• Cancellations made within 3 business days of the initial registration are eligible for a full refund.
• Cancellations made after 3 business days of the initial registration AND before 15 business days of the course start date are eligible for a 50% refund only.
• Cancellations made within 15 business days of the course start date are NON-REFUNDABLE.
• NIHI reserves the right to reschedule or cancel sessions.

Course Access

Registrants will receive detailed instructions about accessing the online session(s) via e-mail 1-2 days prior to each session. Anyone registering within 2 days of the session will receive the message shortly after the registration is received. Due to widespread use of spam blockers, filters, out of office messages, etc., it is your responsibility to contact NIHI if you do not receive login instructions before the start of the session.

It is the responsibility of the registrant to ensure access to WebEx using the VOIP option.

Each registrant must register and participate individually on their computer. The online sessions are to be accessed and viewed only by the person who registered and paid for the online material.

All sessions are recorded and posted to an online portal for access later.