ReviewR

ReviewR enables manual record review and chart abstraction of electronic health record (EHR) data for research by providing a unified R Shiny environment that supports OMOP and MIMIC-III data models and integrates with REDCap via its API.

Key Features:

• Unified review and abstraction environment: Consolidates EHR record review and chart abstraction data entry within one R Shiny-based platform.
• Support for multiple data models: Provides compatibility with OMOP (Observational Medical Outcomes Partnership) and MIMIC-III (Medical Information Mart for Intensive Care) data models.
• REDCap API integration: Connects to Research Electronic Data Capture (REDCap) via its API to store abstraction results.
• Modular architecture: Implements a modular design to permit customization and expansion of components.
• Compatibility with clinical data warehouses: Interfaces with diverse database systems and data models used in clinical data warehouses.

Scientific Applications:

• Manual EHR record review: Supports systematic manual review of EHRs for research and data curation tasks.
• Chart abstraction and data capture: Enables extraction and structured capture of clinical variables into REDCap.
• Cross-model data exploration: Facilitates exploration and comparison of patient data across OMOP and MIMIC-III frameworks.
• Data validation and accuracy verification: Assists in verifying the accuracy of EHR-derived datasets within clinical data warehouses.

Methodology:

Implemented as an R Shiny application with modular architecture, supporting OMOP and MIMIC-III data models and integrating with the REDCap API; deployable on a single machine or scaled for multiple concurrent users.