College - Author 1
College of Engineering
Department - Author 1
Computer Science Department
Degree Name - Author 1
BS in Computer Science
College - Author 2
College of Engineering
Department - Author 2
Computer Science Department
Degree - Author 2
BS in Computer Science
Date
12-2023
Primary Advisor
Zoë Wood, College of Engineering, Computer Science and Software Engineering Department
Abstract/Summary
DocAI presents a user-friendly platform for recording, transcribing, summarizing, and classifying doctor-patient consultations. The application utilizes AssemblyAI for conversational transcription, and the user interface allows users to either live-record consultations or upload an existing MP3 file. The classification process, powered by 'ml-classify-text,' organizes the consultation transcription into SOAP (Subjective, Objective, Assessment, and Plan) format – a widely used method of documentation for healthcare providers. The result of this development is a simple yet effective interface that effectively plays the role of a medical scribe. However, the application is still facing challenges of inconsistent summarization from the AssemblyAI backend. Future work involves refining summarization consistency and exploring integration with medical platforms.
URL: https://digitalcommons.calpoly.edu/cscsp/174
Included in
Health Information Technology Commons, Other Computer Engineering Commons, Quality Improvement Commons