DS4CG Leverages AI to Improve Clinical Data Collection for Doctors Without Borders

A team of Data Science for the Common Good (DS4CG) students developed an AI solution that improves data collection for Doctors Without Borders (DWB).

Data from clinics is collected on paper forms and manually entered into a database, which can be slow or lead to errors. This team developed an interactive web application that leverages the most recent ChatGPT models to recognize information from images of forms, which users can edit or verify. The application could significantly improve data entry quality and allow DWB staff to spend more time providing medical care.

This team recently presented their work at the Academic Data Science Alliance (ADSA) 2024 Annual Meeting.

Watch the team’s demo video by visiting our website’s project page under “DS4CG 2024”.