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Patient Monitoring and Alert Systems in Modern Healthcare Using Machine Learning
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Author(s): Kuldeep Singh Kaswan (Galgotias University, India)
Copyright: 2024
Pages: 19
Source title:
Machine and Deep Learning Techniques for Emotion Detection
Source Author(s)/Editor(s): Mritunjay Rai (Department of Electrical and Electronics Engineering, Shri Ramswaroop Memorial University, India)and Jay Kumar Pandey (Department of Electrical and Electronics Engineering, Shri Ramswaroop Memorial University, India)
DOI: 10.4018/979-8-3693-4143-8.ch012
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Abstract
The aim of this chapter is to explore the current landscape of patient monitoring and alert systems, highlighting technological advancements and addressing critical challenges faced by healthcare professionals. By understanding these challenges, the chapter aims to propose solutions and recommendations for optimizing patient monitoring practices. Through an analysis of existing literature and observations from clinical practice, this chapter will identify opportunities for improvement in patient monitoring systems. Emphasis will be placed on leveraging innovative technologies such as artificial intelligence and cloud computing to enhance data accuracy, streamline interoperability, and mitigate alarm fatigue among healthcare providers.
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