Ruilin Zhicai → EDC
Photo upload, automated recognition and human confirmation connect source information capture with study data entry.
CLINICAL DATA. SCIENTIFIC INSIGHT.
Expertise that brings data into focus. Clinical data services and purpose-built software to support every step of your research.
01 / OUR EXPERTISE
ExpertiseFive disciplines connecting research to evidence. Explore the expertise behind your next study.
From study questions to meaningful results.
Statistical design through analysis: sample size estimation, statistical analysis plans (SAPs), statistical analysis and statistical programming.
Complex data. Clearly organized.
Data management support for clinical trials, working with study teams to organize and manage research data for subsequent statistical analysis.
A shared language for medical information.
Support for consistent representation of medical information. Coding scope, dictionaries and versions are agreed for each project.
Turn study data into a common language.
CDISC services tailored to study requirements, with agreed standards, versions and deliverables for consistent organization of research data.
Rigorous studies begin with allocation and blinding.
Randomization and blinding services aligned with the study design. Allocation methods, maintenance of blinding and unblinding procedures are defined for each project.
02 / OUR PRODUCTS
ProductsEDC, Ruilin MicroDiary, IWRS, intelligent medical coding and Ruilin Zhicai. Connecting information capture, study execution and data standardization.
Conceptual workflow relationships · Integration is scoped for each study
Our electronic data capture system supports data collection in clinical research. Features and configuration can be discussed for your study.
Photo upload, automated recognition and human confirmation connect source information capture with study data entry.
Relate patient diaries and reported outcomes to study data, connecting patient entries with clinician review and follow-up.
Link reported medical terms with standardized codes.
Relate participant and allocation information within blinding permissions.
03 / QUALITY MANAGEMENT
DataSage Tech has established and implements SOPs and a quality management system covering data management and statistical analysis, supporting consistent project execution and delivery.
SOP: Standard Operating Procedure
SOP coverage
Standard operating procedures for data management support consistent project execution.
Standard operating procedures for statistical analysis support consistent analysis and delivery.
Quality requirements, working references and deliverables are defined around key project activities. Specific controls are agreed according to the protocol, study risks and service scope.
Procedures & responsibilities
Focus on applicable procedures, project plans and templates, with clear versions, approval requirements and reasons for change.
Clarify execution, review and communication responsibilities, and identify training needs for the protocol, procedures and tools.
Risks & review
Identify risks affecting critical data, study endpoints and deliverables; agree review milestones and the scope of checks.
Focus on data checks, coding consistency and traceability between analysis data and statistical outputs, with review methods agreed for the study.
Actions & records
Consider impact, causes, actions and follow-up when addressing quality issues, and use project feedback to inform process improvement.
Agree requirements for data access, transfer, delivery and retention, with attention to confidentiality and complete working records.
Select a topic to expand or collapse its details.
04 / ABOUT DATASAGE TECH
DataSage Tech focuses on clinical trial data and statistics, alongside software for related workflows. We combine professional expertise and product capabilities to address practical research needs.
Grounded in expertise. Enabled by technology. A clearer path through complex research.
LET’S TALK ABOUT YOUR RESEARCH