Capstone Project
TECHNOLOGY CATEGORY
Machine Learning / AIINDUSTRY SPONSOR
University of WashingtonDATE COMPLETED
March 15, 2024
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Problem
Implicit bias plays a critical role in doctor-patient interactions, significantly influencing patient health outcomes. Such biases, often subconscious, can impact the quality of care delivered, affecting the accuracy of diagnoses, the effectiveness of treatments, and the overall patient experience.
Approach
The team conducted user and SME interviews to understand the frsutrations and urgent needs of medical students. They then used an iterative design process where they regularly checked in with implicit bias experts, and conducted usability testing and heurisitc evaluation to iteratively improve their solution.
Solution
They created a comprehenisve digital tool that aims to help medical students understand and improve patient communication skills. The team included features that analyze social signal scoring and trend analysis, provide actionable plans, and an educational hub, helping students gain a comprehensive understanding about their patient interaction.
