Jennifer Quaglietta, P.Eng. - Healthcare Insurance Reciprocal of Canada (HIROC)
Artificial Intelligence (AI) is the notion of machines mimicking cognitive functions usually associated with
humans, such as reasoning, predicting, planning, and problem solving. With growing repositories of
data, improving sophistication of algorithms and faster computing resources, AI is becoming increasingly
integrated into everyday use.
In healthcare, AI represents an opportunity to increase safety, improve quality and reduce the burden
on increasingly overstretched systems. Presently, we are seeing a shift from research work to the
implementation of clinically viable applications. As the use of AI expands, so does the need for
responsible oversight, and governance becomes increasingly important.
AI in the delivery of healthcare carries new opportunities and challenges, including the need for greater
transparency, the impact AI tools may have on a larger number of patients and families, and potential
biases that may be introduced by the way an AI platform was developed and built. Healthcare
organizations will face many challenges when adopting or implementing AI-based solutions, including
defining appropriate problems to solve using AI, continuously evolving technology, and a large and
diverse range of healthcare users. This presentation provides practical guidance in the development and
implementation of AI applications in healthcare, with a focus on risk identification, management, and