UX/UI Design
Clinical Study Workflow Optimization
Designed a digital solution to streamline bioequivalence study workflows, improving data visibility, reducing manual processes, and supporting multiple stakeholders across clinical, lab, and data teams.
This project is confidential. To protect the client’s identity, all branding, names, and visual elements have been altered while preserving the integrity of the user experience and design decisions.
What is a Clinical Study?
Clinical studies are research processes designed to evaluate the safety, efficacy, and performance of medical treatments or interventions.
These studies involve multiple stakeholders including clinical staff, laboratory teams, and data managers and require strict coordination, accurate data collection, and compliance with regulatory standards.
Due to their complexity and reliance on manual workflows, clinical studies are often prone to inefficiencies, delays, and data inconsistencies.
Problem
This resulted in delays, increased cognitive load, and limited traceability across the study lifecycle.
Process
This workflow highlights the transition from a manual and fragmented process to a centralized and structured system.
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The original flow (in red) relied on paper forms and disconnected tools, leading to inefficiencies and limited visibility.
The redesigned experience streamlines the process, improves data consistency, and supports better tracking and decision-making across all stages of the study.
Key Insights
Too many manual steps
Lack of centralized data
Poor visibility of study status
No clear ownership
Solution
We designed a centralized platform to support the full study lifecycle, from patient screening to lab analysis and data review.
01
Centralized Dashboard
Provides a unified view of all study activities, data, and key metrics in one place.
03
Standardized Workflows
Ensures consistency across processes by defining clear, structured steps for each stage of the study.
02
Real-time Status Tracking
Enables live monitoring of study progress, patient status, and ongoing activities.
04
Alerts & Risk Visibility
Highlights critical issues and potential risks, allowing teams to take timely action.
1. Studies Overview Dashboard
Objective
Provide a quick overview of all studies and their performance.
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Design Decision
Used KPIs, filters, and a comparison table to support fast scanning.
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Impact
Improved visibility and faster identification of risks.
2. Study Dashboard
Objective
Monitor a single study’s progress and key risks.
Design Decision
Structured layout with KPIs, timeline, and alerts.
Impact
Reduced complexity and improved decision-making.
3. Participants List
Objective
Manage and monitor all participants efficiently.
Design Decision
Table with status indicators and progress bars.
Impact
Faster navigation and easier participant tracking.
4. Patient Overview
Objective
Track patient progress across all study stages.
Design Decision
Used a stepper and alerts to highlight status and issues.
Impact
Improved traceability and quick status understanding.
This solution significantly improved operational efficiency by reducing manual processes, minimizing errors, and centralizing critical information in a single system.
By providing real-time visibility and a structured workflow, the platform enabled teams to make faster decisions while maintaining a reliable and easily accessible history of all study activities — supporting both day-to-day operations and regulatory compliance.
Next steps include deeper integrations with laboratory systems, automation of data validation processes, and enhanced analytics to further improve scalability and performance.