Building an AI Future with a Toolkit for Implementers

By Karen Jacquart

Artificial intelligence (AI) is making significant impacts within the health sector. From chatbots that triage patient symptoms, to computer vision that aids interpretation of diagnostic images, to algorithms that schedule hospital resources based on predicted need, AI can improve the effectiveness, efficiency and safety of health care delivery.

However, implementing AI is a unique challenge compared to other health care innovations. The complexity and continuously evolving nature of AI mean that health care delivery organizations need to work hard to stay one step ahead of it. The assessments and procedures used to implement other innovations may not be sufficient to handle AI’s distinct considerations, such as transparency, explainability and bias. 

And so, Infoway has developed the “Toolkit for Implementers of Artificial Intelligence in Health Care.” Created in collaboration with INQ Law, a leading law firm and data consultancy with deep expertise in AI risk management, this toolkit serves as a “nuts and bolts” primer for health care delivery organizations just beginning to implement AI. It is intended for a range of roles and professionals, including AI project leads, CXOs, clinicians and other SMEs, IT leads and those involved with legal, privacy, security and compliance services.

Six modules — downloadable as one document or individually — cover key themes for health care delivery organizations to consider when beginning work with AI, from identifying strategic opportunities, to understanding emerging AI regulations, to guidance on AI governance. Checklists, best practices and case studies explore common AI considerations such as explainability, transparency and bias, and additional resources can be found throughout the toolkit’s bibliography and annexes.

Learn more and sign up to receive the toolkit. Webinars held throughout the winter of 2021/2022 will explore the toolkit in further detail. AI implementers can also contribute their suggestions to refine future editions of the toolkit and contribute additional Canadian AI case studies and use cases.

As we look back on Digital Health Week, let’s take a can-do approach to AI’s unique challenges and potential. With the right tools and the right knowledge, Canadian health care organizations can #ThinkDigitalHealth and begin their journey towards an AI future.


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About the author
Karen Jacquart

Karen Jacquart

Karen Jacquart has been with Infoway since April of 2018 and is currently leading the Innovative Technologies initiatives in Artificial Intelligence and Continuous Foresight.  Previously, she held project management and consulting roles in Canada and internationally within the private and public sectors.  Karen has a Bachelor of Applied Science in Industrial Engineering from the University of Toronto and a Masters of Business Administration from HEC Paris.