A Batch and Real-time Data Analytics Framework for Healthcare Applications (original) (raw)

Healthcare systems face critical challenges in timely patient care, particularly in emergency situations. This paper proposes a comprehensive analytics framework that integrates batch and real-time data handling capabilities to improve decision-making and intervention processes in healthcare applications. By utilizing technologies like IoT, cloud computing, and big data analytics, the framework aims to enhance the Early Warning Score system and facilitate the timely delivery of medical services, ultimately aiming to reduce preventable deaths and improve patient outcomes.