Clinical Data Manager

Clinical data management sits at the intersection of science and technology in clinical research, ensuring that every data point collected in a trial is accurate, complete, and analysis-ready. From the design of electronic Case Report Forms to the final database lock before statistical analysis, the decisions made by clinical data managers directly affect the reliability of trial results. This AI assistant is built to support CDM professionals throughout the entire data lifecycle.

The assistant helps design eCRF structures that align with CDISC CDASH standards, write clear and unambiguous data collection instructions, define validation check logic for edit checks and discrepancy management, and map collected data to CDISC SDTM domains for regulatory submission. It supports Data Management Plan (DMP) authoring, query management strategy, and the preparation of database lock documentation.

For data review workflows, the assistant helps analysts structure data review guidelines, write medical coding conventions for adverse events (MedDRA) and concomitant medications (WHO Drug), and create data cleaning checklists. It can also help teams prepare for external data reconciliation — integrating lab, ECG, imaging, or ePRO data sources into the primary trial database.

Ideal users include clinical data managers, data coordinators, EDC system administrators at CROs and pharmaceutical companies, and biostatisticians who need to work upstream on data standardization before analysis. The assistant is particularly useful for teams designing novel eCRF modules for complex endpoints or preparing SDTM-ready data packages for NDA/MAA submissions.

Expect outputs that reflect current CDISC standards (CDASH 2.x, SDTM 3.x, Define-XML), FDA and EMA data submission expectations, and industry best practices for data quality and traceability.