IIT-EDC Research Data Collection System

The IIT-EDC Research Data Collection System, developed by Taimei Technology, is an automated electronic data capture platform designed to support investigator-initiated trials (IIT) and clinical research. It is built for researchers, clinical research coordinators (CRCs), and data quality control staff who need an efficient, high-quality solution to replace paper-based case report forms and streamline the entire data collection and management process.

By combining flexible data entry methods, intelligent automation, and robust quality control mechanisms, IIT-EDC helps reduce investigator workload while ensuring data integrity, traceability, and compliance throughout the research lifecycle.

Diversified Data Collection Methods

• User-Friendly Data Entry: A flexible and intuitive interface allows researchers and CRCs to enter data directly, replacing traditional paper CRFs with a modern digital experience.
• OCR Photo Recognition: Intelligent photo recognition technology enables users to capture paper lab reports and forms and automatically populate the relevant fields, reducing manual transcription effort.
• HIS / LIS Data Synchronization: Medical data can be automatically collected through direct integration with hospital HIS (Hospital Information Systems) and LIS (Laboratory Information Systems), minimizing duplicate data entry.
• Excel Bulk Import: Large datasets — including data from previous research or external hospital sources — can be easily imported using standardized templates, accelerating study setup and data migration.
• NLP Structuring: Taimei's built-in artificial intelligence applies natural language processing to unstructured text data, extracting and structuring valuable clinical information automatically.

Customizable Research Workflow and CRF Design

• Supports complex clinical trial designs, general data collection standards, and a variety of visit structures to accommodate diverse study protocols.
• Includes specialized eCRF libraries and tools tailored for different disease areas and research types.
• CRF forms can be built in accordance with the OHDSI-CDM data model to ensure interoperability and standardization.
• Forms can be modified or extended as needed, with full support for custom content and research-specific components.
• Templates can be quickly created and adapted to meet the requirements of specific disease research programs.

Automated Quality Control and Logic Checks

• A robust library of logic checks is available, adaptable to various visit types and customizable through programming to meet study-specific requirements.
• Logic check issues automatically trigger query generation, streamlining the data cleaning process.
• Data quality control staff can raise queries on any case content or individual field for further review.
• Investigators are able to respond to and close queries directly within the system, supporting an efficient resolution workflow.

Audit Trails, Access Control, and Data Security

• Detailed operation logs provide comprehensive audit trails to ensure data integrity, consistency, and full traceability of all actions taken within the system.
• Strict permission settings enforce role-based access control, protecting sensitive research data from unauthorized access.
• Robust data protection measures and a complete data disaster recovery mechanism are included to safeguard research data against loss or corruption.

IIT-EDC is part of Taimei Technology's broader clinical data management suite, which also includes solutions for RTSM, eCOA, CTMS, and eTMF. The platform is designed to integrate with hospital information systems and supports the full spectrum of clinical research data needs, from initial setup through data lock and reporting.