StoryboardR

StoryboardR visualizes real-world data from tumor registries as interactive timelines to clarify temporal relationships between prognostic and predictive biomarkers and patient outcomes.

Key Features:

• Interactive Data Visualization: Transforms complex tumor registry datasets into interactive timelines to enable visual interpretation of relationships between prognostic and predictive biomarkers and patient outcomes.
• REDCap® Integration: Imports and maps data captured in REDCap® for downstream visualization and timeline construction.
• Timeline-based Longitudinal Visualization: Constructs dynamic timelines that depict patient journeys and temporally ordered clinical events.
• Subject-level Exploratory Analysis: Provides visualizations focused on individual subjects to reveal per-patient temporal patterns and events.
• Temporal Association Highlighting: Emphasizes temporal relationships between biomarker measurements and clinical outcomes within patient timelines.

Scientific Applications:

• Exploratory Patient-level Analysis: Enables detection of temporal patterns in biomarkers and outcomes at the individual-subject level using tumor registry data.
• Hypothesis Generation: Facilitates generation of hypotheses about prognostic and predictive biomarker interactions and their impact on patient outcomes.
• Personalized Medicine Research: Supports investigations into individualized treatment responses and longitudinal outcome assessment using registry-derived real-world data.

Methodology:

Captures and processes real-world data from tumor registries into an interactive format and creates dynamic timelines that depict patient journeys, highlighting key events and temporal relationships with biomarkers and outcomes.