Our approach
Clinical data work has to be checked, documented and defensible. We build quality into the work itself: specifications agreed before programming begins, independent review of datasets and outputs, validation against standards, and documentation that lets someone else follow what we did.
Project-based delivery
- Work to approved specifications, protocols and analysis plans.
- Independent programming checks and structured review of datasets, derivations and outputs.
- Validation of CDISC datasets and metadata, with findings investigated and recorded.
- Traceability from source data to submitted results.
Risk-based data review focused on what affects data integrity most. - Reproducible code and version-controlled workflows.
- Clear documentation of methods, assumptions and limitations in pharmacometric work.
Standards and regulations we work to
We work in line with applicable regulatory expectations and with the standards your submission needs, including CDISC SDTM, ADaM and Define-XML, ICH guidelines and Good Clinical Practice principles.
Data security and confidentiality
Client data is treated as confidential and handled under agreed project-specific data protection and access arrangements.
