E-Healthcare Data Management Using Machine Learning and IoT

This chapter investigates the transformative potential of amalgamating Electronic Health Records (EHRs) with Internet of Things (IoT) sensors and machine learning (ML) in remote healthcare environments. It scrutinizes how interconnected devices enable real-time data acquisition thereby, fostering continuous monitoring and tailored patient care delivery. Through a detailed exploration of innovative EHR-IoT-ML integration, encompassing biometrics and remote diagnostics, it delineates the capabilities for early disease detection, predictive analytics, and refined clinical decision-making. Additionally, it addresses critical aspects of data management strategies and security protocols, imperative for preserving patient confidentiality and ensuring system robustness. By providing elucidative examples and meticulous analysis of challenges and opportunities, this chapter propels forward a trajectory toward a future where technology optimizes remote healthcare delivery, augments patient outcomes, and widens accessibility to vital medical services.