Every data source in one reconciled place

What we do

Modern studies pull data from a dozen places, and each vendor has its own format, cadence, and identifiers. CDMP builds and operates the pipelines that consolidate those feeds into the study database, with transfer specifications, reconciliation logic, and exception handling that hold up under audit. You get an integrated dataset instead of a stack of spreadsheets to merge at lock.

Sources we integrate

• Central & specialty labs: chemistry, hematology, biomarkers, PK — with unit harmonization and reference-range handling.
• Toxicology & in-life instruments: automated capture from preclinical laboratory equipment.
• eCOA / ePRO: patient- and clinician-reported outcomes with visit and subject reconciliation.
• Wearables & sensors: device data ingestion, windowing, and derivation to analysis-ready variables.
• Imaging, IRT/RTSM, and specialty devices: scheduled transfers with metadata and traceability.

What's included

• Data transfer agreements & specifications: format, frequency, variables, and validation rules per vendor.
• Pipeline build: API or file-based ingestion, transformation, and load into the EDC or a data warehouse.
• Reconciliation: automated cross-source checks against enrollment, visits, and key safety fields.
• Monitoring: transfer status, error alerting, and reload procedures.