Clinical trial coordinators spend 60% of their time re-entering patient data from hospital EHRs into EDC systems

A clinical trial coordinator at a hospital site manages 20-50 patients enrolled in a drug trial. For each patient visit, they pull up the hospital EHR (Epic or Cerner), find the relevant lab results, vital signs, and adverse events, then switch to the Electronic Data Capture system (Medidata Rave, Oracle InForm, Veeva Vault) and re-type every data point. A single patient visit with 30 data fields takes 30-45 minutes of data entry. The coordinator does this for 10-15 patient visits per week. So what? There are 400,000+ clinical trials globally. Each trial site employs 1-3 coordinators whose primary job is data re-entry. A Phase III trial with 100 sites and 5,000 patients generates millions of data points that are hand-copied from one system to another. This costs the pharmaceutical sponsor $2,000-5,000 per patient in site coordination costs, adding $10-25M to a large trial. Trial timelines extend 6-12 months because data entry backlogs delay database lock. An agent that could read EHR data (via FHIR API) and auto-populate the EDC forms would eliminate 60% of coordinator time and accelerate trial completion by months. Why doesn't this agent exist? EHR-to-EDC integration exists in theory (FHIR APIs, IHE profiles) but in practice: hospitals restrict FHIR API access for security, EDC systems have proprietary data models, the mapping between EHR fields and EDC fields is trial-specific (every protocol defines different data collection forms), and FDA 21 CFR Part 11 requires audit trails for every data entry that automation must comply with.