Text Formatting Based on Keyword Detection

Abstract

Adverse drug effects are a major cause of death across the world each year because of prescription errors. Many of such errors involve the administration of the wrong drug or dosage by care givers to patients due to indecipherable handwritings, drug interactions, confusing drug names etc. The adoption of voice-based prescription project could eliminate some of these errors because they allow prescription information to be captured and heard through voice response rather than in the physician’s handwriting. Our project will generate an electronic prescription using a “Speech to Text converter” (Perceptual Linear Prediction (PLP)) and capture the data from the keywords spoken by doctor(s). There won’t be any need to carry paper prescriptions on revisiting doctors. A patient will be able to share his historic medical records to a new doctor. This project also provide facility to sign the prescription and send to the patient directly on his phone and email id. The System enables the patient to manage the privacy of their personal health record. This project is proposed to target those doctors and clinics that are still using paper-based handwritten prescriptions