The Use of AI in Enhancing Patient Safety

Nambi Namusisi H.

School of Natural and Applied Sciences Kampala International University Uganda

ABSTRACT

The integration of Artificial Intelligence (AI) into patient monitoring systems has marked a transformative shift in healthcare, offering enhanced capabilities for tracking and analyzing patient health data. This paper investigates the application of AI in patient monitoring systems, emphasizing its role in overcoming challenges related to physiological signal capturing and health status estimation. It provides an overview of how AI methodologies, including deep learning and machine learning, are leveraged to improve real-time monitoring, predictive accuracy, and response time in both hospital and home settings. The paper also addresses the current limitations of AI technologies and the potential for future advancements. Also, by examining various applications and discussing the benefits and constraints of AI in this field, the paper aims to highlight the significant impact AI has on improving patient outcomes and optimizing healthcare delivery.

Keywords: Artificial Intelligence, Patient Monitoring Systems, Biosignal Analysis, Deep Learning, Machine Learning.

CITATION: Nambi Namusisi H. (2024). The Use of AI in Enhancing Patient Safety. Research Output Journal of Public Health and Medicine 3(2):34-37. https://doi.org/10.59298/ROJPHM/2024/323437