Protocol development, regulatory clearance, site selection and eCRF setup, in the order a study team meets them.
Definitions, what separates the two, and how each one shapes patient data collection in a trial.
How MedDRA and WHODrug coding works, where it slows teams down, and how Datacapt builds it into the EDC.
The features and selection criteria a CRO weighs when picking an EDC, with practical tips for running studies on it.
APA and AMA citation styles, the registries to search, and the registration practices behind them.
What RTSM means, how it works at each visit, how it differs from IWRS and IRT, and how it connects to the EDC.
The role a contract research organisation plays, the services it covers, and what a sponsor gains from one.
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A live demo inside the EDC. Real use cases for data managers and clinical teams, no slides.
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EDC, randomisation, monitoring and collaboration in one place, and what pushed studies onto a single platform.
Six features that decide whether an EDC fits your study, and how to weigh simplicity against depth.
Who gets enrolled shapes who a treatment works for. The barriers to representative recruitment, and ways past them.
Why enrollment stalls, and what digitalization and decentralization change about reaching patients.