Diagnostiq

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Inspiration

We wanted to create a tool that helps clinicians and patients communicate effectively. Doctors spend a lot of time documenting patient visits, and patients struggle to understand medical jargon. Our goal with Diagnostiq is to bridge the gap by analyzing conversations, capturing critical information and providing clear insights.

What it does

Diagnostiq is an AI-powered diagnostic assistant designed to help clinicians and patients communicate more effectively. It captures conversations via speech-to-text, highlights key symptoms, generates patient-friendly summaries, and links prescribed medications to retailers such as Walmart, CVS, and Amazon. Users can also export EMR reports and interact with the assistant through voice commands, making documentation more accessible.

How we built it

We developed Diagnostiq using VS Code as our main code editor, React to build an interactive frontend dashboard, and GitHub for version control and collaboration. The backend AI fuctions, including medical data extraction and summary, is powered by Featherless AI.

Challenges we ran into

Selecting the most effective AI model for analysis and patient-facing summaries. Tracking conversations to build an easy-to-read output. Inaccurate speech-to-text transcription led to analysis errors. Handling code errors and debugging as we integrated new features.

Accomplishments that we're proud of

Linking medications to major retailers like Walmart, CVS and Amazon for easy prescription lookup. EMR report exports so patients can summarise, and diagnostics can be saved and shared. Strong teamwork and collaboration helped quickly build features.

What we learned

We gained hands-on experience in integrating AI into healthcare applications. We learned how to extract structured medical data from freeform conversations, generate patient-friendly summaries, and link prescriptions to real-world retailers.

What's next for Diagnostiq

Next, we plan to expand Diagnostiq into a more patient-centred platform by introducing iOS notifications for medication reminders and follow-up care. We aim to implement real-time reminders to help patients stay consistent with prescribed treatments. In the future, Diagnostic aims to provide exported summaries and reports in the patient’s preferred language.

Built With

• featherless
• java
• python
• react