Inspiration

Claridex was inspired by how hard it is for clinicians and patients to navigate complex diagnostic questions under time pressure. The goal was to create a focused diagnostic co‑pilot that not only supports clinical reasoning but also makes communication between patient and doctor clearer and more efficient.

What it does

Claridex acts as a diagnostic assistant where a case can be entered and turned into a structured, stepwise response with differentials and next steps. On top of that, it is designed around real‑time interconnection: patients and doctors can share the same Claridex conversation context, so both see the same structured reasoning and can chat live around it.

How we built it

Claridex is built as a web app and deployed on Vercel for a fast, responsive experience. The core logic connects to an AI backend through an API layer for diagnostic reasoning, and the real‑time chat between patient and doctor can be powered by a live messaging layer (for example, websockets or a realtime database) that syncs messages and Claridex outputs across both sides.

Challenges we ran into

A key challenge was keeping the interface simple while supporting both AI‑generated reasoning and live conversation between patient and doctor in the same space. Another challenge was thinking about privacy, consent, and how much detail to surface so the patient can follow along without being overwhelmed, while still giving the doctor enough clinical depth.

Accomplishments that we're proud of

Claridex already works end‑to‑end as a diagnostic co‑pilot with a clean, focused UI. Designing it so the same structured output can be the shared “source of truth” in a real‑time chat between patient and doctor is a big step toward collaborative, transparent care.

What we learned

We learned that real‑time communication works best when the AI output is structured and easy for both sides to reference during a chat. We also saw how important it is to think about trust: patients need understandable language, while doctors need precise reasoning, and the interface has to bridge both.

What's next for Claridex

Next, Claridex can deepen the real‑time patient–doctor connection with features like shared session links, consent screens, and annotated summaries after each conversation. Over time, it can grow into a full diagnostic workspace where AI reasoning, chat, and case history live together to support safer and more collaborative decision‑making.

Built With

Share this project:

Updates