Research Systems

Clinical Data Workflow Management System

A configurable data management and quality-control platform designed to support longitudinal research datasets, protocol compliance monitoring, issue tracking, and operational review workflows.

The platform helps research teams identify missing data, validate visit schedules, monitor protocol compliance, and manage follow-up actions through a centralized dashboard environment

Impact Research data quality + workflow clarity

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Role Clinical Data & Digital Workflow Support

Duration Ongoing support

Project Type Clinical data workflow system

Technologies

PHP JavaScript WordPress Plugin ArchitectureData ValidationLogic Dashboard DesignWorkflow SystemsResearch Data ManagementAI-Assisted Development

Integrations

REDCapOpenClinica

Key Outcomes

Improved consistency in data-related processes

Supported cleaner research data management

Made workflow handoff and maintenance easier

Strengthened digital operations around clinical data

Challenge

Research teams often manage complex longitudinal datasets across multiple spreadsheets, protocol schedules, and tracking systems.

This makes it difficult to:

Monitor protocol visit compliance
Detect missing or inconsistent data
Prioritize overdue actions
Track ownership of issues
Coordinate data review workflows efficiently

My Role

Clinical Data & Digital Workflow Support

Solution

Designed and implemented a configurable workflow platform that combines:

Visit-window validation
QC rule validation
Missing-data review
Dashboard-driven monitoring
Issue assignment and tracking
Spreadsheet import workflows

into a centralized operational review system

Tools Used

REDCap OpenClinica Data Quality Control Structured Data Workflow Documentation

What I Did

Workflow & Product Design

Designed operational review workflows for data managers
Structured dashboard layouts for issue prioritization and monitoring
Improved drill-through from charts to record-level review

Data Validation

Implemented configurable visit-window validation logic
Developed QC review workflows for protocol compliance
Supported missing-data and exception review processes

Platform Features

Built dashboard-based review workspaces
Developed issue assignment and resolution workflows
Added support for multiple project types (trials, cohorts, registries, program monitoring)
Improved spreadsheet import and dataset mapping workflows

Result

Improved visibility of protocol timing issues
Streamlined missing-data review workflows
Reduced reliance on spreadsheet-based review processes
Enhanced issue tracking and follow-up management
Created a reusable framework supporting multiple research data use cases

Key Contributions

Designed configurable data review workflows
Built visit-window validation and protocol compliance logic
Developed dashboard-based operational review tools
Created issue assignment and follow-up tracking workflows
Improved usability for experienced data managers

Visual Proof

Product & Workflow Development Project
This project focused on designing and building operational workflows for research data management, quality control, protocol compliance monitoring, and issue tracking. The platform reflects my interest in combining data systems, workflow automation, dashboard design, and usability for research operations.

This project incorporated AI-assisted development tools to accelerate implementation and iteration. Workflow design, validation logic, product requirements, testing, and final decisions were designed, reviewed, and managed by me.

This platform continues to evolve through iterative improvements, workflow enhancements, and new data management features designed to support research operations more effectively.

Work Together

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