Screen4Care Interactive Hospital Compatibility Dashboard

AI Quick Summary

This Figma-built dashboard helps clinicians compare patient data features across hospitals and spot where formats align or differ. It turns the seven Screen4Care use cases into a clear, task-based flow that mirrors how clinicians actually work. By revealing details only when needed and using clean visual cues, the interface makes it easy to see compatibility, understand gaps, and group hospitals for rare-disease research. The Screen4Care Interactive Desktop Dashboard is a UX concept created to enable clinicians to identify and explore compatible patient data features between hospitals, a key step before running machine learning studies supporting rare disease diagnosis. Developed entirely in Figma, the proposal transforms the seven use cases into a unified, task-based and accessibility-driven interface. The design focuses on progressive disclosure, visual clarity and clinical usability, allowing clinicians to explore complex datasets with minimal cognitive load. Key features include: Hospital Summaries with consistent card layouts and feature chips for fast scanning Feature Compatibility Views using color-coded RAG matrices and contextual tooltips to explain partial or missing compatibility Multi-hospital Comparison with dynamic reference switching and horizontal scalability Smart Suggestions ranking hospitals by feature similarity Grouped Hospital View clustering institutions by overall compatibility levels for efficient exploration All visual elements were built following WCAG 2.2 contrast standards and designed for a 1920×1080 desktop environment. While the solution is conceptual and not validated with end-users, it provides a fully scalable foundation, ready for iterative refinement and integration within the Screen4Care metadata repository to accelerate the identification of rare disease patterns.

Project Idea Metadata

• Project Idea Name: Screen4Care Interactive Hospital Compatibility Dashboard
• Date: 10/8/2025 9:37:24 AM
• Administrators:
  • Marta Colombo

Project Idea Description

The Screen4Care Interactive Desktop Dashboard is a UX concept created to enable clinicians to identify and explore compatible patient data features between hospitals, a key step before running machine learning studies supporting rare disease diagnosis.

Developed entirely in Figma, the proposal transforms the seven use cases into a unified, task-based and accessibility-driven interface. The design focuses on progressive disclosure, visual clarity and clinical usability, allowing clinicians to explore complex datasets with minimal cognitive load.

Key features include:

• Hospital Summaries with consistent card layouts and feature chips for fast scanning

• Feature Compatibility Views using color-coded RAG matrices and contextual tooltips to explain partial or missing compatibility

• Multi-hospital Comparison with dynamic reference switching and horizontal scalability

• Smart Suggestions ranking hospitals by feature similarity

• Grouped Hospital View clustering institutions by overall compatibility levels for efficient exploration

All visual elements were built following WCAG 2.2 contrast standards and designed for a 1920×1080 desktop environment.

While the solution is conceptual and not validated with end-users, it provides a fully scalable foundation, ready for iterative refinement and integration within the Screen4Care metadata repository to accelerate the identification of rare disease patterns.

This Figma-built dashboard helps clinicians compare patient data features across hospitals and spot where formats align or differ. It turns the seven Screen4Care use cases into a clear, task-based flow that mirrors how clinicians actually work.

By revealing details only when needed and using clean visual cues, the interface makes it easy to see compatibility, understand gaps, and group hospitals for rare-disease research.