COVID-19 Remote Patient Monitoring: Social Impact of AI
- URL: http://arxiv.org/abs/2007.12312v1
- Date: Fri, 24 Jul 2020 01:09:56 GMT
- Title: COVID-19 Remote Patient Monitoring: Social Impact of AI
- Authors: Ashlesha Nesarikar (University of Texas at Dallas and Plano
Intelligence), Waqas Haque (UT Southwestern), Suchith Vuppala (UT
Southwestern), Abhijit Nesarikar (Plano Intelligence)
- Abstract summary: A primary indicator of success in the fight against COVID-19 is avoiding stress on critical care infrastructure and services.
There are also secondary considerations for success: mitigating economic damage; curbing the spread of misinformation, improving morale, and preserving a sense of control.
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.
- Score: 0.0
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- 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 available technology for continuous real-time remote
monitoring of patient vitals with the help of biosensors on a large scale.
2. Effective and safe remote large-scale communitywide care of low-severity
cases as a buffer against surges in COVID-19 hospitalizations to reduce strain
on critical care services and emergency hospitals.
3. Improve the patient, their family, and their community's sense of control
and morale.
4. Propose a clear technology and medical definition of remote patient
monitoring for COVID-19 to address an urgent technology need; address
obfuscated, narrow, and erroneous information and provide examples; and urge
publishers to be clear and complete in their disclosures.
5. Leverage the cloud-based distributed cognitive RPM platform for community
leaders and decision makers to enable planning and resource management,
pandemic research, damage prevention and containment, and receiving feedback on
strategies and executions.
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