📋 TL;DR Summary
The Problem
Medical professionals lacked a unified platform for remote collaboration, resulting in clinicians using 3+ fragmented tools for chat, file sharing, and case reviews, leading to workflow inefficiencies and design-to-development friction.
The Solution
Developed a modular design system and an AI-powered collaboration platform that integrates seamlessly with existing medical AI chat applications to enable project-based collaboration and peer review.
My Role
Lead Product Designer, driving the creation of the platform, the underlying modular design system, and the overall user experience.
Business Impact
Reduced case review times by 40%, decreased UI bugs by 45% post-launch, doubled feature delivery velocity, and achieved an NPS of 72 among beta testers.
Moremi Collaborate is a generative AI-powered telemedicine platform built on MinoHealth AI Labs' proven AI radiology stack. I designed the end-to-end experience for a platform that reduced case review time by 40%, cut UI bugs by 45%, and created a new revenue stream through a monetized peer review ecosystem — all shipped within a 3-month timeline.
Business Constraint
MinoHealth's AI chat application was successful but fragmented:
- 87% of clinicians used 3+ different platforms for remote collaboration
- Each new feature meant redesigning from scratch — no systematic component reuse
- Design-to-dev handoff was causing 45% of all UI bugs
- No clear path to monetization beyond the core diagnostic tool
"How do you unify chat, file sharing, and AI-generated reports into a cohesive experience without overwhelming clinicians already managing complex cases?"
Business goals:
- Transform the existing AI chat into a collaborative platform
- Build a modular design system that accelerates future development
- Create a peer review ecosystem that generates revenue
- Do it all in 3 months
Strategic Approach
1. Modular Design System Architecture
Built a component library that treats medical workflows as composable patterns. A "Review Card" component works identically in case review, peer feedback, and report management — reducing design time from days to hours.
Three-tier system architecture:
- Project Dashboard — central hub for managing ongoing medical cases
- Collaboration Workspace — real-time communication and file sharing
- AI Analysis Suite — intelligent insights and automated reporting
Engineering alignment:
- Design tokens translated directly to the Next.js/TypeScript implementation
- Component specs eliminated ambiguity in requirements → 45% fewer UI bugs
- Systematic handoff patterns that are now used across the entire MinoHealth product suite
2. Clinical-First Information Architecture
Research across 25+ healthcare professionals (radiologists, GPs, hospital administrators, telemedicine coordinators) revealed:
- Medical imaging review was the highest-priority use case
- Clinicians wanted AI to augment, not replace their clinical judgment
- Project tracking was the most consistent pain point
This informed four key interface decisions:
Project-Based Organization — grouped related chat sessions, reports, and imaging under project folders, keeping medical cases organized and accessible.
Project dashboard providing an organized view of all medical cases with project-based grouping and case management.
Drag-and-Drop Workflow
Try moving the patient case between stages to see the fluid interaction.
Inbox
1Patient Case #8492
Pending Radiologist Review
Analysis
0Review
0Seamless Sharing Architecture — effortless sharing of individual sessions or entire projects with granular permission controls and secure collaboration links.
Team collaboration interface with project sharing, member management, and secure access controls.
Unified communication interface bringing chat, search, and file sharing into a single cohesive view.
Centralized Report Management — all AI-generated medical reports consolidated in one location per project, eliminating the need to search through chat histories.
Centralized report management with AI-generated medical reports organized by project.
Comprehensive version tracking ensures accountability and allows clinicians to revert to previous report states.
3. Monetized Peer Review Ecosystem
Designed a structured review system that turns medical expertise into a revenue stream:
- Review request system for quality assurance and second opinions
- Approved reviewer program with application and certification process
- Compensation features for expert reviewers — creating a sustainable marketplace
Streamlined reviewer assignment with specialist profiles, availability tracking, and automated notifications.
Contextual commenting system enabling precise feedback directly on reports and images.
Click anywhere on the report to add a collaborative annotation.
Business Outcomes
| Metric | Result | Context |
|---|---|---|
| Case Review Time | 40% faster | Streamlined workflows vs. fragmented toolset |
| UI Bugs | 45% fewer | Post-launch vs. previous release |
| User Satisfaction | NPS 72 | Among 47 beta testing clinicians |
| Feature Velocity | 2x faster | After design system implementation |
| Implementation Time | 40% reduction | For new features using shared component library |
Time Reclaimed Per Week
✨ Equivalent to 0.4 full work days/month
Medical cases grid showing imaging types, status tracking, and workflow management across specialties.
Clinician Feedback
"Moremi Collaborate has transformed how our radiology team works with referring physicians. The AI insights help us catch details we might miss, while the collaboration tools make case discussions seamless." — Dr. Sarah Chen, Chief Radiologist
Business Impact
- Created a new revenue stream through the approved reviewer program
- Built upon MinoHealth's clinical evaluation research demonstrating AI diagnostic superiority
- Positioned MinoHealth as an innovator in collaborative telemedicine
- Featured in the official MinoHealth launch announcement (May 2025)
Design System Impact
The component library established during this project now powers the entire MinoHealth product suite. Patterns for AI-human collaboration are being applied across the Moremi platform ecosystem, building on the foundational UX work from the core Moremi AI platform.
Key Learnings
- Design systems pay for themselves: The upfront investment in component architecture directly halved feature delivery time and nearly halved UI bugs.
- Monetization through expertise: Creating a reviewer marketplace turned a cost center (peer review) into a revenue stream.
- Integrate, don't replace: The platform's success came from seamlessly extending the existing AI chat experience rather than forcing clinicians to adopt an entirely new tool.