Transforming Healthcare Delivery: The Role of Cloud Technology in Remote Patient Monitoring and Telemedicine Innovation

Abstract

This research investigates the design, deployment, and performance of a cloud-supported Remote Patient Monitoring (RPM) and telemedicine system in the Indian healthcare scenario. It offers a multilayered architecture consisting of six major layers: Data Acquisition, Prioritization and Processing, Data Transmission, Access and Monitoring, Cloud Computing, and Feedback & Continuous Improvement. Real-world information was gathered from more than 100 patients and 50 doctors through online and offline surveys. The suggested system gives top priority to clinically relevant information, provides constant connectivity through a double SIM facility, and protects data transmission via asymmetric encryption algorithms. It combines tracking, teleconsulting, e-prescriptions, and machine learning-based insights to facilitate proactive care and data-driven decision-making.Qualitative findings of the study illustrate noteworthy health outcome improvements, such as a 10.3% decline in systolic blood pressure, 13.4% fall in HbA1c, and 61.9% decrease in hospitalization. Efficiency of operations also improved, with costs saved in healthcare by 37% and time savings of employees increased substantially. In addition, patient engagement metrics like medication compliance (from 68% to 89%), appointment keeping (72% to 95%), and satisfaction (6.5 to 9.1 out of 10) significantly improved after implementation. These findings indicate that cloud-based RPM systems have the potential to transform healthcare delivery in emerging economies like India by facilitating continuous, secure, and personalized care. This research not only proves the technological and clinical feasibility of such systems but also offers a basis for future research and policy-making in digital health adoption.