Revolutionizing Patient Safety: The Economic and Clinical Impact of Artificial Intelligence in Hospitals

Artificial intelligence (AI) has emerged as a transformative force in enhancing patient safety within hospital settings. This perspective explores the various applications of AI in improving patient outcomes, including early warning systems, predictive analytics, process automation, and personalized treatment. We also highlight the economic benefits associated with AI implementation, such as cost savings through reduced adverse events and improved operational efficiency. Moreover, the perspective addresses how AI can enhance pharmacological treatments, optimize diagnostic testing, and mitigate hospital-acquired infections. Despite the promising advancements, challenges related to data quality, ethical concerns, and clinical integration remain. Future research directions are proposed to address these challenges and harness the full potential of AI in healthcare.

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Publication Details

Journal
Hospitals
Published
2024-12-12
DOI
https://doi.org/10.3390/hospitals1020015
Citations
7
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.84
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article

Revolutionizing Patient Safety: The Economic and Clinical Impact of Artificial Intelligence in Hospitals

Francisco Epelde
7 citations
Hospitals
Artificial Intelligence in Healthcare and Education
0.84
article

Revolutionizing Patient Safety: The Economic and Clinical Impact of Artificial Intelligence in Hospitals

Francisco Epelde
article en
7 citations

Abstract

Artificial intelligence (AI) has emerged as a transformative force in enhancing patient safety within hospital settings. This perspective explores the various applications of AI in improving patient outcomes, including early warning systems, predictive analytics, process automation, and personalized treatment. We also highlight the economic benefits associated with AI implementation, such as cost savings through reduced adverse events and improved operational efficiency. Moreover, the perspective addresses how AI can enhance pharmacological treatments, optimize diagnostic testing, and mitigate hospital-acquired infections. Despite the promising advancements, challenges related to data quality, ethical concerns, and clinical integration remain. Future research directions are proposed to address these challenges and harness the full potential of AI in healthcare.

HospitalsVol. 1(2)
Corporació Sanitària Parc Taulí (ES), Institute of Research and Innovation Parc Tauli (ES)
Openalex Percentile: Top 24%
Artificial Intelligence in Healthcare and Education
0.84
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