American Hospital Dubai has partnered with healthcare technology firm Cerner to launch an artificial intelligence (AI) research centre.
Part of Mohamed & Obaid Al Mulla Group, American Hospital Dubai is a 252-bed, acute care, general medical/surgical private hospital.
The new facility will combine its clinical AI and advanced data analytics tools with Cerner’s electronic health records (EHR) data to deploy centers of excellence across oncology, infectious diseases and bariatric medicine areas.
Also, the AI research centre will leverage big data analytics and machine learning for data-based clinical research and operational improvement projects.
The primary projects for the centre are delivering home health experiences and improving care management associated with Covid-19.
Mohamed & Obaid Al Mulla Group CEO Sherif Beshara said: “Together, we share the vision and strategy of the UAE Government and rulers to use the power of AI to help minimise the burden of chronic diseases, ultimately for the welfare of our citizens and residents.
“This initiative takes us one step closer to our objective: to continue to redefine a patient-centric health care delivery system, thereby empowering individuals to proactively manage their health.”
An AI-based data-driven approach is expected to enable progress in virtual medicine, population health management, data analytics and visualisation, and clinical decision support.
With home health experiences, virtual medicine concept is intended to offer improved services to patients, including telemedicine, video and phone visits. This experience will be supported by remote monitoring.
Cerner Middle East and Africa managing director Alaa Adel said: “This AI research centre initiative will not only further enhance AHD’s response to the Covid-19 crisis but, more importantly, equip AHD with cutting-edge technologies to redefine health and care in the new post Covid-19 pandemic era.”
Furthermore, the AI research centre will allow American Hospital Dubai to use big data analytics for personalised care plans and prediction of disease courses, among others.