Streamlining Medical Administration: Developing an AI Solution for Automating Medical Form Processing in Canada

Physicians in Canada spend significant time on administrative tasks, including completing paperwork that requires filling out various forms in different formats. It is estimated that most physicians spend about 19 hours per week on paperwork. Such demands not only lead to burnout but also detract from patient care. Moreover, this additional workload is also an impediment to caring for physicians’ patients. To reduce the administrative workload of physicians, this project aims to investigate the use of artificial intelligence (AI) to automatically fill medical forms by extracting data from unstructured and unlabelled medical documents. The project will start by conducting structured interviews and surveys with physicians to understand the specific requirements and experiences with administrative tasks. Subsequently, machine learning and natural language processing techniques will be used to develop a prototype solution for analyzing medical records and filling out forms automatically. This project will use publicly available datasets and/or synthetic data for training and validation. Finally, the project aims to explore future directions for developing a complete AI-based solution that has the potential to fill out a variety of forms in different formats.

Faculty Supervisor:

Salimur Choudhury

Student:

Partner:

WaiveTheWait Inc.

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

Queen's University

Program: