Title: College of Health PhD Candidate
College/Department: Computer Science & Engineering
Course: CSE 281 - Computer Science Capstone (HealthCost Unlocked)
Student Enrollment: 4
Proposal: For this Capstone project, students are building a web application that allows users to manually enter information from their medical bills and insurance statements to review what each field means and the calculations related to patient payments. The students would like to apply AI to help explain medical codes and further explore its use to visually identify fields from an image to reduce manual data entry. The collaboration with CITL will provide AI tools to test and experiment with to identify best functionality and existing limitations. While AI support is the primary task, this project also relies heavily on inquiry-based learning and cross-disciplinary interactions with a Creative Inquiry local Impact Fellowship, a sister project of HealthCost Unlocked.
CITL/I&O Collaborators: Jeremy Mack, Rob Weidman