The system monitors, analyses, and evaluates the quality of healthcare services and implements a pre-emptive prevention system for diseases and their complications.
Abu Dhabi
The Dubai Health Authority (DHA) has announced that the EJADA AI system, launched a year ago, is achieving remarkable results.
The system monitors, analyses, and evaluates the quality of healthcare services and implements a pre-emptive prevention system for diseases and their complications.
The latest global system for monitoring healthcare quality, “EJADA AI”, enhances the population’s healthy lifestyle and solidifies Dubai’s position on the digital health map. EJADA AI identifies individuals most susceptible to diabetes risks and reduces the financial burden of the disease by 30 percent. Artificial intelligence (AI) manages the proactive disease prevention system in Dubai.
Saleh Al Hashimi, CEO of the Dubai Health Insurance Corporation at the Authority, stated that the EJADA AI system, is entirely based on AI and has succeeded in identifying diabetes patients most prone to disease complications and risks, as well as individuals closest to developing diabetes.
He emphasized the significance of the Authority’s adoption of the EJADA AI system, which provides an opportunity to elevate the quality of life and improve healthcare through proactive preventive measures. These measures protect diabetes patients from potential health deterioration and prevent individuals at risk of developing diabetes.
He explained that the EJADA AI system integrates processes and procedures from monitoring to analysis of critical chronic disease data such as diabetes, chronic obstructive pulmonary disease, and asthma, among others.
Al Hashimi explained that the system evaluates healthcare facilities, doctors, and insurance companies based on the data collected by the Dubai Health Authority, patient feedback, and the stakeholders (insurance companies) and service providers (medical facilities). The Authority then performs the necessary improvement processes and clinical output performance indicators for healthcare services.
Al Hashimi pointed out that this system is designed to support four key objectives outlined in Dubai’s 2026 healthcare sector strategy, which include making Dubai a model for value-based healthcare services, providing patient-centered care, promoting a healthy lifestyle for Dubai’s residents, and establishing Dubai as a digital health hub.
He stated, “The value and significance of the EJADA AI system lies in the precise processing of electronic claims data, which provides a comprehensive view of the community’s health. When analyzed using AI, this data allows for early detection of chronic diseases.”
Regarding the significant advantages of the EJADA AI system, Al Hashimi indicated that these advantages revolve around seven main axes. EJADA AI uses a vast dataset of electronic claims data in Dubai, including data from approximately 4 million insured individuals and over 360 million patient activities, diagnoses, and patient notes since the system’s launch in mid-2022. It provides customized insights for chronic diseases at all stages to meet the needs of diagnosed and undiagnosed patients. EJADA AI produces risk scores to identify undiagnosed individuals and those at high risk among the general population, enabling early intervention and prevention of chronic diseases.
It also offers insights, risk scores, and high-cost disease complications, aiding healthcare specialists in dealing with disease progression and improving patient outcomes, in addition to facilitating precise planning and budget allocation by predicting diseases.
Furthermore, it leverages advanced learning models for accumulated data over time, providing dynamic predictions and risk scores, apart from being a comprehensive solution for managing and preventing chronic diseases, enhancing Dubai’s position as a distinguished global healthcare destination.
Al Hashimi explained that the Authority has identified 30 major diseases as priorities within the system until 2025, based on Major Diagnostic Categories (MDC).
Published under the International Cooperation Protocol with Middle East Business | Life Magazine
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