Context
- Industry: Healthcare / Clinical Systems
- Platform: Web App (or Desktop / Tablet if applicable)
- Users: Lab technicians, doctors, admin staff
- Scope: New product / Redesign / MVP / Enterprise system
Tools
Lab Information System – UX Case Study
A next-generation lab record management system designed to handle patient histories, diagnostic results, and physician data across high-volume clinical workflows.
This platform transforms complex clinical operations into a streamlined, intuitive experience.
The Challenge
The legacy system was functional but struggled under real-world pressure. Key issues included:
- Fragmented workflow: Split screens forced users to constantly switch between patient info, test results, and reports.
- High cognitive load: Dense medical terminology lacked visual hierarchy, causing confusion.
- Risk of data loss: Save states were unclear and form behavior inconsistent.
- Slow onboarding: New staff found it difficult to learn the system efficiently.
My Role
Led the full UX redesign, from audit to interface execution:
- Conducted UX research & workflow analysis
- Restructured the information architecture
- Designed UI/UX in Figma
- Developed a component system for consistency and scalability
Design Approach
Unified
Workspace
Replaced split screens with a structured, single-view layout
Patient info, test data, and doctor details organized in progressive sectionsClear Information Hierarchy
Grouped related medical data logically
Added visual separation, labels, and spacing
Prioritized critical fields for faster access
Smart Form Experience
Auto-save with clear save indicators
Inline validation for medical entries
Reduced redundancy in data input
Component
Based UI
Built reusable components for: Data tables, Form inputs, Status indicators
Ensured consistency across the system
The Outcome
The redesign transformed a complex, fragmented tool into a focused, intuitive clinical workflow system, enabling:
- Reduced data entry time by ~30–40% (if estimated, still fine)
- Decreased user errors through validation patterns
- Improved onboarding speed for new staff
- Increased operational efficiency in high-volume scenarios