MDT+
A clinical tool for preparing and discussing cancer cases, bringing patient data and AI recommendations into the same workflow.
MDT+ is used by doctors preparing for multidisciplinary cancer conferences, where specialists meet to review patient cases and decide on treatment.
I built the Next.js application used to create and prepare patients for those conferences. The interface brings the relevant clinical data together with recommendations from an AI model, so doctors can review both as part of the same discussion.
The challenge was less about presenting an AI answer and more about making a large amount of clinical information useful in a setting where people need to understand it quickly. The AI is one source of information among many. The interface has to make that relationship clear and give the doctors enough context to make their own decision.
I was responsible for the frontend architecture and implementation, working with complex healthcare data and the different states that come with real patient workflows.
MDT+ is now being introduced at several hospitals in Denmark, with further expansion planned outside Denmark.
- Client
- Center for Surgical Science
- Technology
- Next.js, NextAuth, Tailwind CSS
- Work
- Frontend architecture, application development, clinical workflows and technical quality