IoT at EHS: Revolutionizing Healthcare through Connectivity
Emirates Health Service (EHS) has embarked on a transformative journey, integrating Internet of Things (IoT) and wearable device technologies into its healthcare infrastructure. This strategic move marks a significant leap into the future of healthcare, intertwining patient health data with Fourth Industrial Revolution technologies.
A Seamless Link Between Patients and their Health Data
EHS has pioneered the utilization of IoT and wearable devices to establish a direct link between patients and their health records. By seamlessly connecting home medical devices to the patient’s health file, a plethora of health applications and medical devices can be utilized. These include devices measuring blood pressure, diabetes indicators, heart rate, blood oxygen levels, movement rates, and physical activities. The invaluable data collected by these devices is stored securely in the patient’s health file, forming an extensive and secure medical database for every individual.
Empowering Healthcare Professionals and Patients
This interconnected ecosystem presents an invaluable opportunity for both healthcare professionals and patients. Doctors can now remotely access and review a patient’s health condition from the comfort of their home. The ability to store historical readings and visualize them provides crucial insights into the patient's health trajectory, facilitating more informed decisions and interventions. EHS is committed to utilizing IoT to bridge the physical distance between patients and healthcare providers, ensuring a proactive and data-driven approach to healthcare.
The convergence of IoT and healthcare at EHS is a testament to our dedication to innovation and improving patient care. By harnessing the potential of these technologies, we aim to provide a future where healthcare is not just a service but a seamless and connected experience for all.
Emirates Health Services is pioneering the use of IoT through its intelligence platform ‘EHS intelligence’ by using the data from medical devices such as blood gas analysers and identifying correlations between the analyser data and clinical parameters to predict clinical outcomes using intelligent algorithms built by EHS.