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Data-Driven Visual Consent

Description

Data-Driven Visual Consent is a web application that can be used during the surgical informed consent process. It uses AI to calculate personalized risk scores and incorporates patient preferences to render a visualization that allows patients to make a truly informed decision on whether to undergo surgery. The goal is to improve patient understanding of their potential outcomes while aiding both the surgeon and patient to engage in shared decision making.

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Data-Driven Visual Consent will aid in shared decision making by allowing patients to take an active role in treatment planning.
Data-Driven Visual Consent will aid in shared decision making by allowing patients to take an active role in treatment planning. The current surgical informed process has many limitations that may lead to non-beneficial outcomes. The application utilizes machine learning to calculate risk and renders a visualization based on patient preferences.