NIHI - McMaster CE Microcredential Course 8 Sessions. 4 Recorded & 4 Live. Interactive. Online Live Session Dates: February 2, February 9. March 2, and March 9, 2026 11:45 AM - 1:30 PM ET Instructor Trevor Strome, MSc. Director, Information Technology, Winnipeg Airports Authority; NIHI Instructor;

Data governance (DG) involves the management of data availability, integrity, security, and usability within an organization that is based on specified standards and policies. DG is a critical function in health care where the responsible and ethical handling of patient information and other sensitive data is paramount. Crucially, good data governance is the keystone requirement for deploying effective, ethical, and responsible Artificial Intelligence (AI) and machine learning (ML) applications that help improve the healthcare system.

The course will explore industry best practices for establishing a data governance function in a healthcare organization. Learn about data management best practices, risk and mitigation strategies, essential tools and technologies, and the critical relationship between responsible AI and effective data governance.

After completing the course, you will be awarded a NIHI - McMaster CE microcredential "Data Governance in Health Care: The Fundamentals". A microcredential is issued in a digital format, provides details of acquired competencies, and is shareable and transportable.

Learning Objectives

• Understand the importance of data governance in health care and in ensuring data quality, privacy, and security.
• • Define the core tenets of Responsible AI (RAI) and demonstrate how robust data governance practices are essential for protecting patient privacy and maintaining accountability on AI deployments.
• Learn the fundamental principles, components, and benefits of data governance frameworks.
• Explore the necessary roles, responsibilities, and organizational structures required for effective data governance in healthcare organizations.
• Know the best practices for data classification, data stewardship, data management, and data lifecycle in healthcare settings.
• Develop skills necessary for establishing data governance policies, procedures, and frameworks tailored to healthcare organizations.
• Understand the impact of emerging technologies, such as AI and machine learning, on data governance in health care.
• Learn strategies for fostering a data-driven culture and helping to promote data literacy, and engaging stakeholders in data governance initiatives.

Competencies Achieved

• Knowledge of data governance frameworks, models, and best practices specific to healthcare organizations.
• Ability to align Responsible AI requirements with data governance and quality standards to effectively mitigate bias and ensure the ethical development and deployment of AI systems.
• Proficiency in data classification, data stewardship, and data management techniques for healthcare data.
• Skills in managing data quality, data privacy, and data security within the context of healthcare data governance.
• Analytical and critical thinking skills to assess data governance challenges, risks, and mitigation strategies in the healthcare industry
• Proficiency in fostering a data-driven culture, promoting data literacy, and ensuring organizational alignment with data governance objectives.

Intended Audience

• Leaders and decision-makers in healthcare organizations who want to understand the strategic importance of data governance and its impact on operational efficiency, quality of care, and compliance.
• Physicians, nurses, healthcare administrators, and other healthcare professionals who want to gain a comprehensive understanding of data governance principles and practices in the healthcare industry.
• Health IT managers, data analysts, data stewards, and other professionals working in healthcare IT departments who are responsible for managing and governing healthcare data.
• Professionals responsible for ensuring regulatory compliance, data privacy, and security within healthcare organizations.
• Individuals already working in data governance roles within the healthcare sector, who want to enhance their knowledge and skills in healthcare-specific data governance.

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.