"Integration of Artificial Intelligence (AI) Tools in Nursing Care of Cardiac Patient Monitoring"

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Authors: DR. SUJA K NAIR
Cited by: 0

Abstract

Abstract: The increasing burden of cardiovascular diseases has intensified the demand for continuous, accurate, and timely patient monitoring. Traditional cardiac monitoring systems, while effective, are often limited by delayed detection of deterioration, high nurse workload, and dependence on manual interpretation. Artificial Intelligence (AI) has emerged as a transformative technology in healthcare, offering advanced capabilities in real-time data analysis, predictive modeling, and clinical decision support. In nursing care, particularly in cardiac patient monitoring, AI-driven tools have the potential to enhance patient safety, improve clinical outcomes, and optimize nursing efficiency. This paper explores the integration of AI tools in cardiac patient monitoring from a nursing perspective, highlighting their applications, benefits, challenges, ethical considerations, and future implications for nursing practice. The paper emphasizes the evolving role of nurses as critical users and interpreters of AI-assisted monitoring systems in delivering high-quality, patient-centered cardiac care.

Fields of Study & Subjects

Healthcare Technology and Patient Monitoring Artificial Intelligence in Healthcare and Education ECG Monitoring and Analysis

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
31 January 2026