Preparing for the Future: How Organizations Can Prepare Boards, Leaders, and Risk Managers for Artificial Intelligence

Subject: Cyber
Type: Risk Resource Guides

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Authors: Arun Dixit, Jennifer Quaglietta, and Catherine Gaulton (HIROC)

Abstract

Artificial Intelligence (AI) is the notion of machines mimicking complex cognitive functions usually associated with humans, such as reasoning, predicting, planning, and problem-solving. With constantly growing repositories of data, improving algorithmic sophistication 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. As applications expand, the need for responsible oversight and governance becomes even more important.

Artificial intelligence 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.

This study provides practical guidance in the development and implementation of AI applications in healthcare, with a focus on risk identification, management, and mitigation.

 

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This article was originally published in Healthcare Management Forum 2021, Vol. 34(6) 346–352 via the Canadian College of Health Leaders.

Date last reviewed:
This is a resource for quality assurance and risk management purposes only, and is not intended to provide or replace legal or medical advice or reflect standards of care and/or standards of practice of a regulatory body. The information contained in this resource was deemed accurate at the time of publication, however, practices may change without notice.