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Arab Health 2024: Emirates Health Services unveils ‘Virtual Nurse’ project

Arab Health 2024: Emirates Health Services unveils ‘Virtual Nurse’ project
30 Jan 2024 17:02


Emirates Health Services (EHS) has introduced a range of groundbreaking healthcare initiatives, including a virtual nurse powered by artificial intelligence.

The projects also encompass a generative AI system triage and appointment scheduling assistance, along with the incorporation of Metaverse technologies. Furthermore, the implementation of the "From Data to Actionable Insight using 3M Programme" project is underway.

This was announced during Emirates Health Services' participation in Arab Health 2024, under the theme "Innovating for Your Health... Excelling with You." It encompasses four main pillars: "Healthy Community," "Pioneering Care," "Artificial Intelligence and Predictive Models," and "Sustainability." EHS is showcasing 27 pioneering healthcare projects in this year's edition, including 15 projects being presented for the first time regionally and globally on its platform.

Mubaraka Ibrahim, Acting Chief Information Officer of the Information Sector at Emirates Health Services reiterated EHS’ dedication to presenting its latest healthcare projects and AI-based programmes. The objective is to acquaint the public with the operations of its facilities, bolstering trust in the healthcare sector's capacity to deliver top-notch services and practices utilising cutting-edge technology.

She highlighted that Arab Health 2024 serves as a global platform that brings together renowned regional and international healthcare companies and organisations, facilitating the exchange of expertise, knowledge, and advancements in medicine, while providing an opportunity for attendees to explore notable experiences.

How AI-Powered Nurse Works

The AI-powered virtual nurse represents a pioneering innovation in healthcare at Emirates Health Services. Designed to simulate the human nurse’s interactions, it utilises advanced artificial intelligence and clinical algorithms. The technology serves as a database catalog, containing over 10,000 diagnoses and symptoms. It enables understanding and response to patient inquiries, offers medical advice, and assists in case assessment and triage. The virtual nurse can be accessed through various platforms such as the EHS’ application, website, or interactive kiosks in healthcare facilities.

The generative AI-based symptom diagnosis system is an intelligent solution aimed at simplifying the patient journey and enhancing the productivity and efficiency of healthcare providers. The key features of this model include symptom analysis, assisting in appointment booking using generative AI capabilities to capture patient symptoms, verifying potential diagnoses, and suggesting appropriate specialties for appointment scheduling.

This project is one of the pioneering initiatives implemented exclusively by Emirates Health Services in the Middle East. It utilises 3M's clinical risk groups and relies on clinical classification to categorise and group populations, aiming to measure variations in disease burdens across major categories. The goal is to visualise the variations in disease burdens for the population in the country, according to the scope of the Emirates Health Services, using population pyramids, tables, and heat maps.

The project will compare and exchange variations in disease burdens for major disease categories such as diabetes, stroke, cancer, obesity, and cardiovascular diseases, using different components of the clinical risk groups (ACRG, MDC, EDC, Health Status).

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