Doctors Without Borders delivers medical aid to people in crisis, with humanitarian projects in over 70 countries. Currently, clinical data is collected through paper forms and manually entered into an online database.
To address these challenges, Data Science for the Common Good (DS4CG) students explored how artificial intelligence tools, such as computer vision, optical character recognition (OCR), and semantic search, could aid in the data entry process. They developed an interactive web application that leverages the most recent ChatGPT models to allow users to upload images of paper forms, manually edit and verify AI-recognized content, and upload to their online database. These solutions aim to save time, improve data entry quality, and allow staff to spend their valuable time providing medical care.