Abstract
The Indian population has a potential threat of communicable and noncommunicable diseases. The low preventive health measure is a cause of significant loss to the economy. The integration of the cloud platform with remote wearable sensors not only helps the health stakeholders to capture the patient’s vitals but also perform predictive analysis during COVID-19. Raising timely alarms through the Internet of Medical Things and artificial intelligence (AI) has complete preventive care applications through real-time analytics. However, health merchandise start-ups using AI and machine learning for timely device delivery face delay in making themselves available and affordable for remote patients of Tiers II and III. This study takes a health service provider perspective and seeks to study the problem situation using a causal loop model. Finally, analysis of the feedback loops and medical device import data is done to develop suitable strategies for COVID-19 patients of remote locations.
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