Clinical research sites do not need “full study automation— on day one. They need a defensible map that monitors, sponsors, and QA can follow — and coordinators can trust at the visit.
At Nexa Trials, implementations typically follow a wave model: automate the domains with the clearest structure and highest re-entry cost first, then expand once SDV and query patterns stabilize.
Wave 1 — Foundation (week 1—2)
These fields are almost always structured, repeat every visit, and drive query volume when re-keyed manually:
- Subject identifiers and visit metadata (visit name, date, window status)
- Demographics and baseline characteristics already captured in eSource
- Vitals with numeric ranges and unit consistency
- Concomitant medications with coded terms where available
Goal: Remove the bulk of keystrokes without touching narrative or clinician judgment fields yet.
Wave 2 — Clinical instruments (week 2—4)
Scale-based endpoints — PHQ-9, MADRS, pain scales, spirometry summaries — are automatable when item-level eSource maps cleanly to EDC repeating structures. Validate:
- Score calculations match the EDC’s expected derivations
- Partial visits and missed items handle nulls the way monitors expect
- Amendments write to audit trails on both sides
Wave 3 — External data (when interfaces exist)
Lab PDFs, EMR exports, and ePRO feeds often need transformation — unit conversion, reference range flags, visit alignment. Automate only after Wave 1—2 prove stable; otherwise coordinators will bypass the pipeline “just this once,— and duplicate entry returns.
Mapping checklist (use before go-live)
- Source field ID, EDC field OID, and allowed transformation (none, unit convert, derive)
- Required vs optional at each visit — protocol deviations should not block submission
- Who may override an automated value and how that appears in audit trail
- UAT scripts written from real coordinator visit flows, not vendor demo paths
Technology-agnostic by design
Nexa Bus integrates leading eSource platforms with EDCs including Medidata Rave, Veeva, Oracle InForm, and Castor. Sites keep their existing stack; automation adds the missing bridge.
Typical go-live for a focused Wave 1 scope: about two weeks from kickoff, depending on protocol complexity and sponsor sign-off cycles.