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Journal Article
How can artificial intelligence decrease cognitive and work burden for front line practitioners?
2023
Overview
Abstract
Artificial intelligence (AI) has tremendous potential to improve the cognitive and work burden of clinicians across a range of clinical activities, which could lead to reduced burnout and better clinical care. The recent explosion of generative AI nicely illustrates this potential. Developers and organizations deploying AI have a responsibility to ensure AI is designed and implemented with end-user input, has mechanisms to identify and potentially reduce bias, and that the impact on cognitive and work burden is measured, monitored, and improved. This article focuses specifically on the role AI can play in reducing cognitive and work burden, outlines the critical issues associated with the use of AI, and serves as a call to action for vendors and users to work together to develop functionality that addresses these challenges.
Lay Summary
Artificial intelligence (AI) has tremendous potential to improve the workload and ability of clinicians to make better decisions across a range of clinical activities, which could lead to reduced burnout and better clinical care. Technology companies and healthcare organizations have a responsibility to ensure AI is designed and implemented with doctors, nurses, and patients in mind. The actual impact on clinical care, patients, and related clinician workload should be consistently measured, monitored, and improved, and this article outlines an approach that companies and organizations can take.
