ANALYZING HOW SAP HANA CAN BE USED TO PROCESS AND ANALYZE REAL-TIME HEALTH DATA FROM IOT DEVICES AND WEARABLES

Abstract

This paper presents a groundbreaking real-time health monitoring platform powered by SAP HANA. The integration of innovative technologies and advanced analytical capabilities results in a solution that significantly improves patient care, enhances diagnostics, and empowers healthcare professionals with invaluable insights. The future prospects for this platform are extensive, with the potential to revolutionize healthcare systems, especially with regards to monitoring and managing the health of elderly individuals and analyzing health data for various research purposes [1]. SAP HANA is an in-memory computing platform, and a database management tool that provides the best solution to the real-time health monitoring by analyzing data from IoT devices and wearables. These devices constantly produce a sheer volume of health-related information including the rate of heartbeat, blood pressure, blood sugar and levels of physical activity to mention but a few. This characteristic of SAP HANA as an in-memory computing platform enables it to process this data in real time, thus helping healthcare providers to regularly track patients’ health statuses. SAP HANA can be easily connected to the IoT infrastructure since it embraces high data processing and analytics capabilities and can rapidly combine and analyze streams of data with the further provision of important analytics and predictions [1]. The real-time processing provides the ability to identify any changes in a patient’s health status in a timely manner, enabling timely response and possible intervention for saving the patient’s life. Therefore, the possibility of integrated data processing from different sources and the possibility of online analysis make it possible to state that applying SAP HANA can significantly improve the functioning of monitoring health systems. SAP HANA has the capability to store, and query both the structured and unstructured data which is needed in the case of health information gathered by wearables and other IoT health devices. For example, such types of data as, for instance, ECG – electrocardiogram, which analysis presupposes the usage of ultra-fast systems, could be effectively treated in the frame of SAP HANA. Furthermore, by quantifying an individual’s health, it can also incorporate features that analyze an individual’s health situation and anticipate better potential diseases far much earlier than executing operations. Apart from enhancing patient health and enhancing the health of society, this approach to health monitoring is an effective preventive measure against catastrophic health events that would consequently exert tremendous pressure on the existing healthcare facilities. Besides the technical options, the software suite SAP HANA comprises various applications and interfaces that help to integrate and utilize health information in daily work of doctors and other clinicians [2]. Looking towards the future, our system holds promise for extension to monitor and handle the more complex health status of elderly individuals. Not only that, but hospitals and research units can effectively employ our platform for comprehensive health data analysis and chronic disease management.