Artificial Intelligence in Health Care 1

Weekly. Thursdays, February 5 - December 16, 2026
No Session on March 26

10:45 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 four main areas of Artificial Intelligence: Artificial Intelligence (narrow, general, and super), Machine/Deep Learning, Natural Language Processing, and Generative, within the context of healthcare. We will explore related fields in this course, including the use of robotic technologies, clinical decision support, electronic medical records, and more.

The course covers various ethical issues raised from the use of AI in the future, 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:

  1. Introduction to Artificial Intelligence (survey of topics)
  2. 4 Main Areas of AI (narrow, general, and super; machine and deep learning; natural language processing; and generative)
  3. Use Cases and Implementation Models
  4. Trustworthiness and Risk Management
  5. Performance Monitoring
  6. Building a business case for AI
  7. Data Governance for AI; Data Governance and privacy?
  8. Privacy and Cyber Security
  9. Regulatory Frameworks
  10. Legal and Ethical Considerations

Competencies Achieved Upon Completion of Course:

  • 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 Fees

 
Early Bird Fee
Ends December 19, 2025 at 11:59 PM ET
 

Regular Fee
Begins December 20, 2025 at 12:00 AM ET
 
Individual Rate $799 $899
Group of Five $3,695 $4,195
Group of Ten $6,545 $7,545

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. 

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