Working on an AI-powered medical
scribing system
Designed an AI medical scribe platform that helps doctors automatically document consultations, organize patient records, and gain AI-powered insights from patient symptoms, reducing administrative work and allowing more focus on patient care.
*UI Designs are representational due to NDA Agreements
PITS Solutions
2025-2026
HealthTech SaaS
Product Design
Challenge
Designing an AI-powered medical platform was a new challenge that required balancing complex AI workflows with a simple user experience. Since the product was built for healthcare professionals, every interaction had to follow medical documentation practices. What started as an AI medical scribing platform later evolved to include a patient management system for clinics.
My Role
As the Product Designer, I designed the UX and UI for the platform, creating wireframes, high-fidelity interfaces, and interactive prototypes. I collaborated closely with product coordinators and developers to refine features, align business requirements, and support implementation throughout the development process.
Discovery & Insights
Understanding the Problem
Clinical documentation is one of the most time-consuming parts of a doctor's workflow. During or after consultations, physicians often spend valuable time manually recording patient history, symptoms, diagnoses, and treatment plans. This not only increases administrative workload but also reduces the time available for patient care. The opportunity was to design an AI-powered medical scribe that could automatically document consultations and generate structured clinical notes, helping doctors save time while maintaining accurate records.
Competitive analysis
I studied AI medical scribing platforms such as DeepScribe and Abridge to understand their approach to transcription and AI-generated clinical documentation. I also explored patient management systems like OpenEMR and others to understand patient registration, medical records, and clinic workflows. These insights helped shape a unified platform that combined AI-powered scribing with patient management.
Key Design Challenges
After mapping the customer journey and understanding how stores operated, a few key challenges became clear:
Healthcare compliance: Designing workflows that followed medical documentation standards while remaining easy to use.
Unified experience: Integrating patient records without interrupting the AI scribing workflow.
AI insights: Presenting symptom insights without distracting from clinical documentation.
Role-based interfaces: Creating simple workflows for admins to manage registrations and appointments, and for nurses to record vitals and upload reports.
Wireframing
Before diving into the visual design, I spent time wireframing the product to figure out what actually mattered to users. Instead of focusing on colors or typography, I concentrated on the flow, how a clinician would start a recording, read transcripts, review AI insights, and navigate between patients with as little friction as possible.
Working with simple, low-fidelity wireframes made it easy to experiment, gather feedback, and refine ideas without getting attached to the visuals. It helped uncover usability issues early and gave everyone a shared understanding of the product before moving into high-fidelity designs.
Designing the Experience
With the wireframes approved, I moved on to the visual design, focusing on a clean and distraction-free interface for clinicians. The experience was centered around live transcription, with quick access to essential tools throughout the consultation.
I designed a dedicated SOAP Notes section to automatically organize AI-generated documentation, an AI Chat panel for follow-up questions and symptom analysis, and a Patient Documents area where clinicians can upload and reference reports, prescriptions, and other medical records—all within the same workspace. This created a seamless workflow, reducing context switching and making documentation more efficient.
AI-Generated Clinical Notes
To simplify documentation, designed a feature that automatically generates structured clinical notes from the consultation transcript. Clinicians can instantly create SOAP Notes or H&P (History & Physical) Notes, review the content, make edits, and export the final version. This reduces manual documentation time while ensuring notes remain organized, consistent, and easy to review.
AI Chat Assistant
To make the experience more helpful, we implemented an AI Chat assistant that lets clinicians interact naturally with patient conversations. Instead of manually searching through transcripts, they can ask follow-up questions, analyze symptoms, generate summaries, or clarify clinical information in seconds. By keeping everything within the same workspace, the AI helps reduce documentation effort and supports faster, more confident decision-making.
Development & Handoff
Once the designs were finalized, I collaborated closely with developers to ensure the experience was implemented as intended. Detailed design specifications, reusable components, and interaction guidelines were shared through a structured handoff, making development more efficient and reducing ambiguity. Throughout implementation, feedback was incorporated, edge cases were refined, and the product was continuously reviewed to ensure the final experience stayed true to the original design.
Conclusion
Working on a medical AI platform was a new and rewarding experience. It gave me the opportunity to design for a domain where clarity, accuracy, and usability directly impact clinical workflows. Being part of a highly collaborative project with designers, developers, and stakeholders strengthened my ability to solve complex problems while delivering an experience that supports healthcare professionals in their daily work.