Gandhi TK, Classen D, Sinsky CA, Rhew DC, Vande Garde N, Roberts A, Federico F. How can artificial intelligence decrease cognitive and work burden for front line practitioners?
JAMIA Open 2023;
6:ooad079. [PMID:
37655124 PMCID:
PMC10466077 DOI:
10.1093/jamiaopen/ooad079]
[Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2023] [Revised: 08/15/2023] [Accepted: 08/21/2023] [Indexed: 09/02/2023] Open
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.
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