Virtual Manager for Medical Practitioners

摘要

The rise of Artificial Intelligence(AI) and Natural Language Processing (NLP) gave a perception of the use of computers in the Healthcare industry. The introduction of voice-assisted chatbots and digital data storage aided health organizations as well as the dependents. Currently, the interactions between doctors and patients are undocumented, and the prescription, in some cases, creates chaos for understanding and long-term maintenance. The project introduces an interactive virtual assistant system for searching, analyzing, and recording clinical data and laboratory data, maintaining electronic health records. It uses a Named Entity Extraction (NER) model for classifying the doctor-patient conversation, i.e., symptoms, detected disorder, prescription of drugs, and stores them in a Structured database. The system poses an ability to understand and respond to limited user queries and imitate human discourse to stimulate a conversation that resembles conversing with a real person. The response includes the recorded history of patients, overcoming the issue of file management, supporting clinical decisions. Generates automated prescriptions eliminating the problems of handwritten prescriptions, and provides live news updates with the web scraper module. Moreover, it plays a vital role in reminding patients about their deadlines for vaccinations and follow-ups.