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Original research ARTIFICIAL INTELLIGENCE OF THINGS-BASED INTENSIVE CARE UNIT PATIENT MONITORING SYSTEMPages 89-94
Abstract
Monitoring patients in Intensive Care Units (ICUs) is essential for ensuring safety and delivering optimal care; nevertheless, the Philippines may be deficient in the adoption of new technologies. This research study investigates and aims to improve ICU patient care. The system utilizes Artificial Intelligence and the Internet of Things for continual monitoring, emphasizing ICU patients, particularly vegetative ones. The development process encompasses circuit diagrams and utilizes a variety of programming languages, including JavaScript, HTML, PHP, and Python, to create artificial intelligence APIs. The system has been evaluated by various medical professionals to guarantee that the study conducted adheres to the ethical norms of medical practitioners in the Philippines. Obtaining confidential AI training datasets was one of the challenges faced while doing this research. The system effectively oversees access control, administrative activities, and patient monitoring, demonstrating improved care and reduced nursing effort, thus improving ICU care quality. In conclusion, this study provides an intriguing possibility to enhance ICU care through innovation and technology, resulting in better outcomes for both patients and healthcare providers.
Keywords: Artificial Intelligence, Internet of Things, Artificial Intelligence of Things, Intensive Care Unit, Patient Monitoring System.
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Romeo Jousef Laxamana, 
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