This project involved building a centralized, secure case management dashboard tailored for a healthcare organization specializing in surgical operations. Designed in Retool and connected to AWS infrastructure, the solution streamlines surgical case tracking, status management, team coordination, and analytics across multiple departments including labs, editors, and back-office staff. The result is a high-performance dashboard that improves clarity, reduces manual effort, and scales with growing case volumes.

Live list of all surgical cases with granular filters by status, surgery type, user role, and date

Enables fast sorting and prioritization for hospital staff

Color-coded tags show each case’s current stage (e.g. Segmentation, Editor Export, Review, Completed)

Provides at-a-glance triage visibility for operations and admin teams

Conditional logic restricts what each user sees based on their assigned role (lab, editorial, admin, back office)

Interface elements and permissions adapt dynamically for clean, relevant user experiences

Dedicated reporting module tracks trends in case volume, time-to-completion, and departmental throughput

Helps leadership measure productivity and spot bottlenecks

Pixel-perfect dark mode interface developed directly from the client’s Figma design system

Designed for low-light clinical settings and extended use by surgical support staff

Backend queries and authentication connect securely to AWS-hosted databases

Ensures compliance with internal hospital privacy protocols and supports real-time updates

Frontend: Retool

Backend: AWS-hosted PostgreSQL

Design System: Custom Figma UI Kit (dark mode, clinical-grade)

Streamlined tracking of surgical cases across lifecycle stages

Centralized coordination across lab, editorial, and admin teams

Real-time role-based case visibility and operational efficiency

Performance reporting for department heads and hospital leadership

The dashboard significantly reduced coordination delays and manual follow-ups across teams. The client reported a 40% reduction in case processing time and improved accuracy in role-specific handoffs. With built-in scalability and secure cloud infrastructure, the system now serves as a mission-critical hub for multiple departments, handling hundreds of surgical cases per week.