CliniTransformR
A programming suite that turns collected study data into CDISC compliant SDTM and ADaM datasets, with traceability from every value back to its source.
Each platform was built to solve a real problem our teams met on trials and submissions. We configure them to your standard operating procedures, your data standards, and your therapeutic areas.
A programming suite that turns collected study data into CDISC compliant SDTM and ADaM datasets, with traceability from every value back to its source.
Pools standardized data across studies for integrated summaries of safety and efficacy, cutting the manual effort behind ISS and ISE work.
Produces tables, listings, and figures for clinical study reports, with version control and quality control built into each run.
Manages dataset specifications and define.xml from a single source, so the documentation and the data stay in step throughout a study.
An automated testing framework for R packages that shortens qualification work, which makes it practical to validate analytical tooling for regulated use.
Runs structured checks on datasets and reporting output, catching standards and consistency issues before they reach a reviewer.
Generates technical, analysis, and validation documentation directly from your code and specifications, reducing the paperwork around every deliverable.
Collects and organizes published literature and safety sources for pharmacovigilance teams, keeping surveillance structured and current.
We do not hand over a fixed product and walk away. Each platform is set up against your standard operating procedures and your data standards, then validated for your environment.
Your teams are trained to run it, and our support stays in place as standards change and studies move through their phases.
We can walk you through how each one works and how it would fit your studies.
Request a walkthrough