Artificial Intelligence (AI) in Healthcare 2022

8:30 a.m.
Program Login

9:00 a.m.
Welcome from the Chairs

Mary Jane Dykeman, INQ Law
Carole Piovesan, INQ Law

9:05 a.m.
The Law of Artificial Intelligence (AI)

Mary Jane Dykeman, INQ Law

Carole Piovesan, INQ Law

To open the day and ensure we are working from a similar understanding, our Program Chairs will provide a detailed overview of Artificial Intelligence, the law and its use in health systems, including:
• What is Artificial Intelligence (AI)?
• What is the law around AI that you need to understand?
• What does it look like in the health sector?
– operational tasks: billing, documentation, risk adjustment coding, quality measures
– clinical activities: diagnostics, surgical techniques
• How has AI been used during COVID?

10:00 a.m.
Keynote Address:

Roxana Sultan, Vice President, Health, Vector Institute

“Health AI Deployment in the Real World”

Advances in AI and machine learning have immense potential to drive improvements in quality and efficiency across multiple domains of health services and population health. In her role as VP, Health with Vector Institute, Roxana Sultan will speak to the following:
• Why do only a very small percentage of health AI/ML systems described in research papers make their way into practice?
• Bridging the divide between health AI research and its deployment in real world environments – a critical enabler to realize the true potential of AI in the health sector
• What projects can be implemented to demonstrate how health AI models can be deployed to drive quality improvement in the health system

10:30 a.m.
Wellness Break

10:45 a.m.
Understanding AI Governance: Strategies and Solutions

Arun Dixit, Digital and Innovation Strategist, Healthcare Insurance Reciprocal of Canada (HIROC)

Jennifer Quaglietta,Vice President, Performance Excellence & Information Services, Healthcare Insurance Reciprocal of Canada (HIROC)

Chantz Strong, BSc, MSc, Executive Director, Research & Analytics and Chief Privacy Officer, Canadian Medical Protective Association

Due to the rise of the implementation of artificial intelligence across sectors, including health, the need to outline a governance framework has become more critical, including:
• The legal framework for:
– ensuring machine learning (ML) technologies are well researched
– developed with the goal of helping to navigate the adoption of AI systems fairly
• Answering questions around the safety of AI
• Where it is appropriate or not for AI automation
• What legal and institutional structures need to be involved?
• How best to handle scenarios where AI–based decisions are unjust or contradict human rights

12:00 p.m.
Lunch Break

12:45 p.m.
Practical Uses of AI in Healthcare

Karen McClure, Chief Investment Officer, Canada’s Digital Technology Supercluster

Brad Keates, Senior Director, Innovative Technologies, Canada Health Infoway

Focusing specifically on how AI is being used everyday in healthcare, this panel will also speak to the move towards the standardization of AI, including:
• Using AI to augment medical procedures
• AI to improve the patient experience: chatbots, wearables
• The development and use of the AI toolkit
• What does standardization of AI in health look like?
– concepts and terminology
– risk management
– trustworthiness
– bias

2:15 p.m.
Wellness Break

2:30 p.m.
The Impact of AI on Intellectual Property Policies

Melanie de Wit, Chief Legal/General Counsel,
Unity Health Toronto

Maya Medeiros, Norton Rose Fulbright Canada LLP

The growth of AI raises a number of contractual and policy questions with respect to IP including:
• How should the value of human invention and creation be balanced against AI innovation and creation?
• Does the advent of AI require any changes to the existing IP frameworks?
• Do existing IP systems need to be modified to provide balanced protection for machine created works and inventions that AI relies on to operate?
• What do you practically do when a vendor wants to use AI?
• What about ownership rights?
• What are the ethical and governance challenges? How can contractual clause help mitigate these risks?

3:15 p.m.
Privacy Engineering: De-identification and Use of Information

Dr. Khaled El Emam, University of Ottawa and Replica Analytics Ltd.

Molly Reynolds, Privacy Counsel, Torys LLP

• What is de-identification and what is its application in the health sector?
• What does the practice of de-identification look like?
– removal of direct identifiers; data coding
– data de-sensitization
– risk clearing
• Anonymization vs. de-identification
• Understanding and managing concerns around consent & ethics
• What steps should be taken to minimize the risk of bias?
• Mandatory de-identification vs. business risk de-identification
• What does re-identification look like and in when is it appropriate?
• Privacy preserving technology: access to data without violating privacy laws

4:00 p.m.
Fairness, Bias & Ethics

Angela Power, MHE, Ethics, Privacy & Data Governance Partner, Change Agency & Health Ethics Lecturer (Faculty of Medicine, Memorial University); PhD Candidate (Ethics of AI & Health Innovation)

As with other biomedical technology, questions of ethics, bias & fairness are top of mind when AI in health is discussed, including:
• Key risks in healthcare: Can we? Should we? How should we?
• Operationalizing ethics in a practical way
• Is the primary goal to the benefit of patients?
• Importance of clinical judgment
• Changing data and regulatory environments
• Clinical trials and AI
• Recommendations: neutrality, transparency, ethical analysis

4:45 p.m.
Program Ends