Dawnbreak AI

The Challenge

Doctors often spend valuable consultation time taking notes instead of fully engaging with their patients. Manual documentation leads to errors, inefficiency, and burnout, while patients may feel less heard during appointments. Traditional transcription tools are either inaccurate, lack medical context, or fail to integrate seamlessly into healthcare workflows.

Project Process & Timeline

Understanding User Insights

I gathered qualitative feedback and analyzed standard workflow bottlenecks to establish clear visual milestones before designing structural interfaces.

Affinity mapping and user persona research boards for Dawnbreak AI.

Designing the System

Dawnbreak AI was designed as an intelligent healthcare communication platform that allows doctors to focus on patients — not paperwork. The app records doctor–patient conversations securely and automatically generates accurate, structured transcripts using AI. These transcripts are organized into medical summaries, helping doctors review cases faster and make more informed clinical decisions. The system also enables smooth communication between patients and healthcare professionals, promoting transparency and trust.

Overcoming Obstacles & Prototyping

One key challenge was ensuring transcription accuracy, especially for medical terminology and multi-speaker detection. Balancing a minimal, user-friendly interface with advanced features like real-time recording, playback, and note tagging required thoughtful design iterations. Privacy and data security were also top priorities; we implemented encrypted storage and clear consent flows to meet healthcare compliance standards. Through continuous testing with healthcare professionals, the design evolved into a tool that felt intuitive, reliable, and clinically relevant.

Interface layout variation A — optimized dashboard navigation.

Interface layout variation B — interactive flow optimization.

Design System & Colors

A cohesive color palette was constructed to define the brand visual identity. Headings leverage premium Instrument Serif typography while structural content uses clean Inter sans-serif sizes.

Key Results & Summary

Dawnbreak AI bridges the gap between medical expertise and intelligent automation. By reducing administrative workload and improving accuracy in documentation, it allows doctors to dedicate more attention to patient care. This project deepened my understanding of designing for healthcare technology — balancing usability, empathy, and compliance to create a seamless experience for both doctors and patients.

Key Takeaways & Reflections