COVID-19 Remote Patient Monitoring: Social Impact of AI
Ashlesha Nesarikar (University of Texas at Dallas, Plano, Intelligence), Waqas Haque (UT Southwestern), Suchith Vuppala (UT, Southwestern), Abhijit Nesarikar (Plano Intelligence)

TL;DR
This paper discusses the deployment of remote patient monitoring technology for COVID-19 to reduce healthcare strain, improve community care, and support decision-making, emphasizing the social impact and clarity in definitions.
Contribution
It introduces a comprehensive approach for remote COVID-19 patient monitoring using readily available technology and clarifies the definition of RPM for better implementation and communication.
Findings
Real-time remote monitoring can reduce hospital strain.
Communitywide RPM improves patient morale and control.
Cloud-based platforms enable better pandemic management.
Abstract
A primary indicator of success in the fight against COVID-19 is avoiding stress on critical care infrastructure and services (CCIS). However, CCIS will likely remain stressed until sustained herd immunity is built. There are also secondary considerations for success: mitigating economic damage; curbing the spread of misinformation, improving morale, and preserving a sense of control; building global trust for diplomacy, trade and travel; and restoring reliability and normalcy to day-to-day life, among others. We envision technology plays a pivotal role. Here, we focus on the effective use of readily available technology to improve the primary and secondary success criteria for the fight against SARS-CoV-2. In a multifaceted technology approach, we start with effective technology use for remote patient monitoring (RPM) of COVID-19 with the following objectives: 1. Deploy readily…
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Taxonomy
TopicsCOVID-19 diagnosis using AI · COVID-19 epidemiological studies · COVID-19 Clinical Research Studies
