Abstract
ABSTRACTWith the rapid increase in technology, the healthcare sector is approaching towards digital solutions for clinical evidence related to various diseases. This research paper provides a theoretical framework for a Clinical Decision Support System with the help of Software as Medical Device regime (CDS-SaMD). The proposed software model comprises layered architecture with each layer acquiring and processing data obtained through Electronic Health Record (EHR) in hospitals. The layers of the model involve sensors for measuring data, pre-processing, transmission to the cloud servers for storage, data reduction, feature extraction, and decision trees. The overall model assists doctors in deciding on diagnosis and treatment of diseases in an accurate and fast manner as compared to the conventional diagnostic procedures. The software is implemented in smartphones and is helpful in cities for diagnosis and treatment of chronic disease like heart attacks and hypertension. The proposed model will help in reducing the mortality due to chronic diseases and will improve facilities for patients’ care.
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