IIT-EDC Clinical Research Data Management Platform
Automatic collection and quality control of internal and external hospital data in clinical trial; Cover the entire process of clinical trial data management; Promote the efficient output of scientific research achievements

IIT-EDC is a Data capture System developed specifically for Investigator-Initiated Clinical Trial,Automatic collection and quality control of internal and external hospital data ; Cover the entire process of clinical trial data management; Promote the efficient output of scientific research achievements.

System Features
1

Customized research flow configuration - high flexibility to meet all types of complex clinical trial designs

Configure matrix based on project follow-up schedule and research events
Unlimited configurations for follow-up within and outside the plan
Flexible follow-up process configuration, oncology study Cycle design, survival follow-up and unplanned visits
Track patient follow-up progress and automatically remind investigators of incomplete follow-up plans
2

Rich CRF templates base - to assist in the rapid construction of clinical research CRF forms

Develop a form base of clinical trial based on the OHDSI-CDM data model
Modify and add CRF forms according to projects, also support custom form content
Flexible addition of research area components and kits
Quickly build CRF templates to meet the requirements of specific disease research
4

Comprehensive audit traces and strict permission settings - guarantee data integrity, consistency, security and traceability

Record the modification log in detail and preservation of all original data before modification
Access to traces based on different dimensions such as patients, medical records and fields
Set different access rights for each role at the visit, page, and field levels
Refine the system menu, functional authority granularity, customize the allocation method, fully meet the functional operation requirements of each role
Set permissions on projects, site and query classification for each account
5

Create a closed loop of quality control——the acquisition process featuring automatic quality control and automatic logic verification, and Manual quality control questioning management as the core to improve clinical research output comprehensively

Rich logical verification actions base, supporting logical verification of different visits, and customizable programming
Automatic data questioning based on logical verification
Data quality controller can challenge any content or field of a research
researchers can answer and close questions
5

More convenient data management and statistical analysis - custom report analysis

Export EXCEL or SAS files for domain dimensions and PDF format for subject dimensions
Data statistics and indicator analysis of information form indicators according to research needs
clearly and visible completion status of data entry and quality report
Support data visualization display with bar charts, pie charts and other ways , The analysis results are clear at a glance
3

Comprehensive hospital external data collection and integration——use information and mobile tools to strengthen follow-up compliance

Connected to eVisit, which allows doctors, medical assistants and patients to collaborate efficiently and cover the entire follow-up process
Docking data from other sources: wearable device data, hospital external visit records, discomfort symptoms and other data can be imported