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Path2Precision is a dynamic platform designed to manage comprehensive clinical data, catering specifically to the rigorous demands of oncology imaging in clinical trials. It automates the ingestion, calculation, and tracking of data, ensuring quality and consistency. By providing precise autogenerated queries and seamless integration with EDC systems, it facilitates enhanced communication and efficiency across trial sites. The platform's innovative approach to data visualization and compliance ensures accuracy and saves significant labor hours, making it a pivotal tool for advancing clinical research.
- Track Consistency and Quality of Data: Exploratory analysis of data quality, identifying issues such as incorrect formats, missing values, or misalignment with design criteria.
- Ensure Data Accuracy: Cross-checking metrics with fully automated calculations, addressing any findings independently with customized queries.
- Identify Outliers: Exploratory checks and analysis using Tumor Growth Kinetics.
- Categorize Free Text Input: Using NLP for better data organization.
- Establish Data Reconciliation Pipelines: An excellent platform for setting up data reconciliation processes.
- Utilize Synthetic Data: Speed up development and optimization of processes using synthetic data.
- Multimodal Analysis: combining different parts of the eCRF.
- Data Connection: Connect and ingest data from diverse sources such as APIs, SFTP, local files, databases, and cloud storage.
- Data Standardization: Profiling, ingestion checks, and consolidation to ensure consistent data processing.
- Pre-Calculation Output: Comprehensive logging and crosscheck validation ensure data integrity before further calculations.
- Data Rounding: User-defined rounding to facilitate consistent calculations.
- Field Calculations and Parameter Computations: Efficiently progress through response analysis and stringent consistency checks.
- Consistency and Logic Checks: Ensure accuracy and reliability of data.
- Dynamic Query Generation: Generates and addresses specific data issues with user-editable queries tailored to study needs.
- Query Tracking: Cross-reference current data against historical records to highlight changes and ensure comprehensive analysis.
- Comprehensive Data Tracking: Tracks data from output and calculations, including query generation.
- Archival Storage: Crosschecks between current and historical data, updating status fields to reflect new, edited, or unchanged data.
- Data Visualization Tool: Integrates standardized criteria with exploratory analysis for enhanced data interpretation.
- Detailed Subject-Centric View: Supports targeted decision-making with comprehensive safety reviews.
For a deeper dive into our system's capabilities or to discuss how we can tailor it to your clinical trial needs, please don't hesitate to reach out.
- Email: [email protected]
- LinkedIn: Juan Pablo García Martínez
- GitHub: juagarmar
Looking forward to exploring the possibilities together!
Disclaimer: The data presented is generated through a synthetic process and should be used for simulation and system testing purposes only.