Often data collection for clinical studies is an afterthought. The results of such an approach are incomplete or confusing data that can, as a worst case, result in scrapping and restarting the entire study. We discuss the planning process for data collection and storage to include encounter form development; data flow and capture; data checking, verification, and validation; advantage of relational databases over spreadsheets; data security; and aspects of a complete data system.
- forms design
Statistics from Altmetric.com
If you wish to reuse any or all of this article please use the link below which will take you to the Copyright Clearance Center’s RightsLink service. You will be able to get a quick price and instant permission to reuse the content in many different ways.