AI-Powered Telemedicine for Remote Monitoring and Management of Chronic Diseases

Authors

  • Hemanth Volikatla Independent Researcher, USA
  • Jubin Thomas Independent Researcher Media, USA
  • Veera Venkata Raghunath Indugu Engineer 1, Data Science and Cloud Technologies Company, USA
  • Dedeepya Sai Gondi CTO/Director, Artificial Intelligence and Machine Learning Company, USA
  • Vamsi Krishna Reddy Bandaru Data Science Advisor, Artificial Intelligence and Machine Learning Company, USA

Abstract

The COVID-19 pandemic accelerated the adoption of telemedicine, leading to innovative applications of AI in remote healthcare. This 2022 study presents an AI-powered telemedicine platform designed for the continuous monitoring and management of chronic diseases such as diabetes and hypertension. The platform integrates wearable devices, EHRs, and patient-reported outcomes to create a comprehensive health profile. Machine learning algorithms analyze this data in real-time to predict disease exacerbations and provide personalized care recommendations. The study demonstrated the platform's effectiveness in reducing hospital readmissions and improving patient adherence to treatment plans.

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Published

2022-10-10

Issue

Vol. 5 No. 1 (2022): ACS 2022

Section

Articles