Medical Prescription and Report Analyzer

Abstract

More often than not, we find prescriptions are not properly written which are being handed over to patients and the diagnostic reports handed can't be monitored without the doctor's involvement due to lack of medical knowledge. This has resulted in putting the patient's safety at risk, and also sometimes there is an unavailability of doctors for the required time for monitoring of reports because of which there is also a danger to patients’ life. The objective of this Medical Prescription and Report Analyzer (MPRA) model is to help patients get an easy understanding of their report and prescribed medicine by addressing the important challenge of extraction of handwritten text data from images, analyzing it using test data then giving a much-refined output. Handwriting Character Recognition (HCR) technique, as well as Printer Character Recognition (PCR) technique, have been used to identify both handwritten as well as printed text in prescription and report, and techniques such as image processing to refine image to give an accurate output.