Abstract
Remote symptom tracking is critical for the prevention of Covid-19 spread. The qualified medical staff working in the call centers of primary health care units have to take critical decisions often based on vague information about the patient condition. The congestion and the medical protocols that are constantly changing often lead to incorrect decisions. The proposed platform allows the remote assessment of symptoms and can be useful for patients, health institutes and researchers. It consists of mobile desktop applications and medical sensors connected to cloud infrastructure. The unique features offered by the proposed solution are: (a) dynamic adaptation of Medical Protocols (MP) is supported (for the definition of alert rules, sensor sampling strategy and questionnaire structure) covering different medical cases (pre- or post-hospitalization, vulnerable population, etc.), (b) anonymous medical data can be statistically processed in the context of the research about an infection such as Covid-19, (c) reliable diagnosis is supported since several factors are taken into consideration, (d) the platform can be used to drastically reduce the congestion in various healthcare units. For the demonstration of (b), new classification methods based on similarity metrics have been tested for cough sound classification with an accuracy in the order of 90%.
Highlights
IntroductionDuring the Covid-19 pandemic, primary health care services and call centers have been criticized for their decisions about the need of a patient to be hospitalized or not
During the Covid-19 pandemic, primary health care services and call centers have been criticized for their decisions about the need of a patient to be hospitalized or not.The medical staff working in these call centers have to remotely estimate the condition of the callers based on vague descriptions of their symptoms
Medical Protocols (MP) is supported covering different medical cases, (b) anonymous medical data can be statistically processed in the context of the research about an infection such as Covid-19, (c) reliable diagnosis is supported since several factors are taken into consideration, (d) the platform can be used to drastically reduce the congestion in various healthcare units
Summary
During the Covid-19 pandemic, primary health care services and call centers have been criticized for their decisions about the need of a patient to be hospitalized or not. The medical staff working in these call centers have to remotely estimate the condition of the callers based on vague descriptions of their symptoms. Sensitive population with weak immune system (cancer, kidney failure, heart diseases, etc.). Is necessary to be remotely monitored and the same holds for Covid-19 patients in their rehabilitation phase. The diagnosis of Covid-19 or other similar infections that will appear in the near future (e.g., the Covid-19 variations that recently appeared in United Kingdom or South Africa) is a major challenge since reliable molecular tests have to be performed to a large fraction of the population. Covid-19 is caused by the Severe Acute Respiratory Syndrome Coronavirus
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