Digital Medical Assistant System Using Iot

Abstract

Automated medical assistant systems with less or no human interventions are very much important during pandemic situations to prevent the spread of highly contagious diseases like COVID. During critical situations the number of patients requiring immediate medical assistants rises exponentially in a shorter period of time and providing assistants to all at the same time will be a practically difficult. This warrants for an automated system to perform preliminary examinations of the patients without human intervention.  In rural areas availability of doctors will be less and diagnosing the disease at the earlier stage turns out to be difficult. The proposed Digital Medical Assistant System (DMAS) is to enable people to observe their health parameters via kiosks in public locations like pharmacy stores, malls, bus/railway stops, on highways, and other places. This prototype prevents the serious risks of patients before they reach the hospital. People will receive a prescription for preliminary medication through text message to their registered mobile number, which is a significant benefit of this system. Further it will advise the patient to see a doctor for further treatment based on the severity of symptoms. Cloud-based database stores the patient's medical history for future access. Comparative analysis with the other voice based medical assistant and direct visit to hospitals, this system performs better and only 11.9% of patients are visiting hospitals for further treatment. Since the diagnosis is made early and the recommendation for subsequent treatment is given immediately, fatality rate is lowered significantly.