Predictive Modeling for Telemedicine Service Demand

Is it possible to estimate the number of patients with COVID-19 admitted to intensive care units and general wards using clinical and telemedicine data?

“…An increasing application of machine learning techniques has been observed in datasets containing patients’ clinical variables to predict the degradation of clinical conditions, mortality, and length of stay (LOS), ( 7 - 9 ) as well as an approach utilizing time-series analysis to estimate hospitalizations and admissions in health institutions using the number of telemedicine visits ( 10 ) or interest in terms related to pathology symptoms in web search engines ( e.g. , Google Trends).…”

“…An increasing application of machine learning techniques has been observed in datasets containing patients' clinical variables to predict the degradation of clinical conditions, mortality, and length of stay (LOS), (7)(8)(9) as well as an approach utilizing time-series analysis to estimate hospitalizations and admissions in health institutions using the number of telemedicine visits (10) or interest in terms related to pathology symptoms in web search engines (e.g., Google Trends). (11) This context highlights the opportunity to develop statistical models to predict the number of patients hospitalized due to COVID-19 and help hospital managers plan for beds, human resources, and other input sizing and availabilities.…”