Virtualized Care Systems, Medical Artificial Intelligence, and Real-Time Clinical Monitoring in COVID-19 Diagnosis, Screening, Surveillance, and Prevention
Virtualized Care Systems, Medical Artificial Intelligence, and Real-Time Clinical Monitoring in COVID-19 Diagnosis, Screening, Surveillance, and Prevention

Summary/Abstract: We develop a conceptual framework based on a systematic and comprehensive literature review on virtualized care systems, medical artificial intelligence, and real-time clinical monitoring in COVID-19 diagnosis, screening, surveillance, and prevention. Building our argument by drawing on data collected from Accenture, AIR, Amwell, Ericsson ConsumerLab, Ginger, Kyruus, PwC, and Syneos Health, we performed analyses and made estimates regarding how connected wearable biomedical devices can assist in configuring precise diagnoses. Internet of Medical Things carries out real-time clinical monitoring by use of artificial intelligence-based diagnostic algorithms. Machine learning algorithms assist in diagnosis, screening, surveillance, and prevention. The data for this research were gathered via an online survey questionnaire. Descriptive statistics of compiled data from the completed surveys were calculated when appropriate.

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