NIHI McMaster CE microcredential courses this fall

WATERLOO and HAMILTON, Ont. – The National Institutes of Health Informatics and McMaster University Continuing Education are offering new micro-courses for healthcare professionals, beginning fall 2025. They are: “Artificial Intelligence in Healthcare,” and “Data Strategy for Healthcare Organizations.”

Data Strategy for Healthcare Organizations: Unlocking Value & Insight from Data
10 Sessions: 4 Live Online, 6 Recorded.
Live Sessions: Oct. 6, 20, Nov. 3 & 18, 2025, 12:00 – 1:30 PM ET
This course provides a concise yet comprehensive overview of developing and implementing data strategies in the healthcare sector. The course emphasizes the importance of data governance, security, and ethical handling of patient information, along with responsible AI practices.

Competencies Achieved
By successfully completing this course, participants will be able to:

• Knowledge of data strategy and data governance concepts, and their critical role in improving healthcare delivery, patient outcomes, and organizational accountability.
• Awareness of the human element in data governance and strategy, including the identification of key roles, responsibilities, and skills necessary for effective data stewardship and management.
• Understanding of the technological tools, platforms, and architecture that support and enable robust data governance and strategy in healthcare settings.
• Recognition of the transformative role of data, analytics, and artificial intelligence in supporting informed decision-making and advancing strategic and governance objectives in healthcare.
• And More!

Registration and more information

Artificial Intelligence in Healthcare
10 Sessions, Live, Interactive, Online.
Weekly, October 9 – December 11, 2025, 11:00 AM ET – 12:00 PM ET

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.

Competencies Achieved
By successfully completing this course, participants will be able to:

• 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.
• And More!

Registration and more information