Abstract
Remote Patient Monitoring (RPM) systems have emerged as transformative tools in healthcare, leveraging technological advancements to enhance patient care beyond traditional clinical settings. This abstract explores the design and implementation of a Remote Patient Monitoring System aimed at bridging the gap between patients and healthcare providers. The system employs a network of wearable devices and sensors to continuously collect and transmit relevant patient data to a secure cloud-based platform. Through real- time monitoring, healthcare professionals can remotely assess vital signs, medication adherence, and other crucial health metrics, enabling early intervention and personalized care. The integration of data analytics and machine learning algorithms further enhances the system's ability to detect patterns, predict potential health issues, and optimize treatment plans. This abstract delves into the key features, benefits, and challenges associated with the Remote Patient Monitoring System, emphasizing its potential to revolutionize healthcare delivery by fostering proactive, patient-centered care and improving overall health outcomes.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
