Human factors: bridging artificial intelligence and patient safety | Zendy

Avishek Choudhury | Zendy; Onur Asan | Zendy

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Human factors: bridging artificial intelligence and patient safety

Author(s) -

Avishek Choudhury,

Onur Asan

Publication year - 2020

Publication title -

proceedings of the international symposium on human factors and ergonomics in health care

Language(s) - English

Resource type - Journals

eISSN - 2327-8595

pISSN - 2327-8579

DOI - 10.1177/2327857920091007

Subject(s) - workflow , bridging (networking) , patient safety , outcome (game theory) , domain (mathematical analysis) , computer science , health care , applications of artificial intelligence , artificial intelligence , knowledge management , computer security , political science , mathematical analysis , mathematics , mathematical economics , database , law

The recent launch of complex artificial intelligence (AI) in the domain of healthcare has embedded perplexities within patients, clinicians, and policymakers. The opaque and complex nature of artificial intelligence makes it challenging for clinicians to interpret its outcome. Incorrect interpretation and poor utilization of AI might hamper patient safety. The principles of human factors and ergonomics (HFE) can assist in simplifying AI design and consecutively optimize human performance ensuring better understanding of AI outcome, their interaction with the clinical workflow. In this paper, we discuss the interactions of providers with AI and how HFE can influence these interacting components to patient safety.

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