Patient Safety in the Era of Artificial Intelligence: A Point-of-Care Nurses’ Practical Guide

Abstract

Artificial intelligence is increasingly being integrated into healthcare to support diagnosis, documentation, and predictive analytics, yet its use introduces risks such as data bias, lack of transparency in decision processes, privacy concerns, and over-reliance on automated outputs. Many point-of-care nurses report uncertainty about how these systems function and how to use them safely in clinical settings. This article provides a practical guide for point-of-care nurses on the safe and informed use of artificial intelligence in patient care. It outlines common clinical applications, major categories of risk, and key strategies for maintaining patient safety. Recommended practices include developing digital literacy, understanding how systems operate within local workflows, engaging in organizational planning, staying current with emerging literature, applying critical judgment when interpreting outputs, and applying artificial intelligence as a supportive tool rather than a replacement for clinical decision making. These strategies help nurses mitigate risk, protect patient privacy, and promote ethical and transparent implementation.

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