Text Formatting Based on Keyword Detection

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