Artificial Intelligence and Cybersecurity in Preventing Sentinel Events

The study mainly focused on the impact of artificial intelligence (AI) in addressing sentinel occurrences in healthcare, particularly the unanticipated events that cause intensive patient harm. Through initiatives such as leveraging predictive analytics, machine learning algorithms, and processing of natural language, AI could help promote safety and prevent risks. This article evaluates the uses of AI, drawbacks, and the ethical implications while developing an understanding of how this innovation would boost patient care and cultural safety. Moreover, the paper examines the security issues related to AI-based healthcare to highlight the advantages of enforcing critical information safeguards while enhancing organizational dependability.

Publication Details

Journal
Maryland Shared Open Access Repository (USMAI Consortium)
Published
2024-12-31
DOI
https://doi.org/10.13016/m2r3jt-tkt2
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

Artificial Intelligence and Cybersecurity in Preventing Sentinel Events

Maryland Shared Open Access Repository (USMAI Consortium)
Artificial Intelligence in Healthcare and Education
article

Artificial Intelligence and Cybersecurity in Preventing Sentinel Events

article en

Abstract

The study mainly focused on the impact of artificial intelligence (AI) in addressing sentinel occurrences in healthcare, particularly the unanticipated events that cause intensive patient harm. Through initiatives such as leveraging predictive analytics, machine learning algorithms, and processing of natural language, AI could help promote safety and prevent risks. This article evaluates the uses of AI, drawbacks, and the ethical implications while developing an understanding of how this innovation would boost patient care and cultural safety. Moreover, the paper examines the security issues related to AI-based healthcare to highlight the advantages of enforcing critical information safeguards while enhancing organizational dependability.

Maryland Shared Open Access Repository (USMAI Consortium)
Industry, innovation and infrastructure
Openalex Percentile: Top 69%
Artificial Intelligence in Healthcare and Education
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