Guided Notes

AI & Automation in Clinical Data Management

Where automation and AI help CDM (autocoding, anomaly detection, query suggestions, document generation, protocol digitization), risks, validation expectations and the evolving data manager role.

Automation already in CDM

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• Edit checks and auto-queries. • Autocoding with synonym lists. • Automated data loads and reconciliations. • Standard CRF and check libraries reused across studies. • Scheduled listings and dashboards. The next wave adds machine learning and generative AI on top.