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Informative Article | Engineering Science | India | Volume 8 Issue 10, October 2019 | Popularity: 5.1 / 10
Developing a Data Analytics-Driven Telemedicine Platform for Remote Patient Monitoring and Personalized Care Delivery
Gaurav Kumar Sinha
Abstract: This paper elaborates on the conception and execution of a state-of-the-art telemedicine framework, designed to exploit data analytics for monitoring patients remotely and offering bespoke healthcare services. With the healthcare environment rapidly transitioning to a digital and dispersed model worldwide, the call for groundbreaking solutions that enable all-encompassing care outside conventional healthcare facilities is on the rise. The proposed framework answers this call by blending real-time health tracking devices, cutting-edge data analytics algorithms, and intuitive interfaces, forging a comprehensive, patient- focused telemedicine ecosystem. I initiate by scrutinizing the prevalent obstacles in remote patient monitoring systems, which include issues related to data privacy, difficulties in system compatibility, and the absence of customized care solutions. My proposed framework combats these hurdles by implementing advanced data encryption methods, adhering to global data standards, and employing predictive analytics to customize health recommendations for each patient's unique needs. The essence of the proposed solution is encapsulated in its capability to analyze and decipher a broad spectrum of health data harvested from various sources, such as wearable technology, smartphone apps, and digital health records. Through the employment of artificial intelligence and machine learning techniques, the framework furnishes healthcare providers with tangible insights, empowering them to formulate informed decisions and execute personalized care strategies from a distance. To sum up, the creation of this telemedicine platform, driven by data analytics, marks a pivotal advancement in the realm of remote healthcare services. By enabling more effective monitoring of patients, refining the precision of medical diagnosis, and providing customized patient care, the platform is poised to transform telemedicine and support the overarching aims of enhancing health care access and outcomes across the globe.
Keywords: telemedicine, data analytics, remote patient monitoring, personalized care, healthcare innovation, wearable sensors, machine learning, electronic health records, predictive analytics, patient engagement, healthcare costs, chronic disease management, data privacy, interoperability, artificial intelligence
Edition: Volume 8 Issue 10, October 2019
Pages: 1849 - 1859
DOI: https://www.doi.org/10.21275/SR24402120856
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