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Home-Based Physiological Monitoring of Patients with COVID-19
1Division of Pulmonary, Critical Care and Sleep Medicine, Department of Internal Medicine, University of New Mexico School of Medicine, Albuquerque, NM USA.
Southwest Journal of Pulmonary & Critical Care
|September 22, 2021
Summary
The COVID-19 pandemic accelerated telehealth and home-based physiological monitoring. While current tech aids patient management, further evidence is needed to confirm improved outcomes, though future potential is high.
Area of Science:
- Medical Informatics
- Digital Health
- Public Health
Background:
- The COVID-19 pandemic significantly strained healthcare systems globally.
- Telehealth emerged as a critical solution to manage patient load and provide continuous care.
- Home-based physiological monitoring technologies advanced rapidly to support remote patient management.
Purpose of the Study:
- To conduct a literature review of emerging technologies for home-based physiological monitoring of COVID-19 patients.
- To assess the promise and current limitations of these technologies in clinical practice.
- To explore the future implications of remote monitoring in healthcare.
Main Methods:
- Literature-based review of scientific articles and industry reports.
- Analysis of current software, applications, and hardware for home-based physiological monitoring.
- Evaluation of technological advancements and their clinical relevance.
Main Results:
- Current home-based monitoring applications assist in managing patient flow during the pandemic.
- Existing technologies require further clinical validation to demonstrate improved patient outcomes.
- Novel devices and integrated technological solutions show significant promise for future healthcare.
Conclusions:
- Home-based physiological monitoring is a rapidly evolving field with substantial potential.
- Further research is essential to establish the efficacy of current telehealth solutions for COVID-19.
- Technological advancements in remote monitoring are poised to transform future patient care and predictive medicine.
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