Electronic Data Capture-Study Conduct, Maintenance and Closeout | Zendy

Olivia Montaño | Zendy; Maxine Pestronk | Zendy; Derek Johnson | Zendy; Muthamma Muthanna | Zendy; Denise Redkar-Brown | Zendy; Ralph Russo | Zendy; David Eade | Zendy; Meredith Zozus | Zendy; Shweta Kerkar | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Electronic Data Capture-Study Conduct, Maintenance and Closeout

Author(s) -

Olivia Montaño,

Maxine Pestronk,

Derek Johnson,

Muthamma Muthanna,

Denise Redkar-Brown,

Ralph Russo,

David Eade,

Meredith Zozus,

Shweta Kerkar

Publication year - 2021

Publication title -

journal of the society for clinical data management

Language(s) - English

Resource type - Journals

ISSN - 2694-1473

DOI - 10.47912/jscdm.31

Subject(s) - data collection , electronic data capture , automatic identification and data capture , data management , computer science , best practice , database , operating system , statistics , mathematics , management , economics

Electronic Data Capture (EDC) has become a common a proven tool for data collection and management in clinical trials. Thus, understanding the principles and methods for EDC use has become a major component of clinical data management (CDM) professional practice. This chapter focuses on using the EDC system and accruing data to support study conduct, maintaining an EDC system during a study, and concluding active data collection through database lock. The regulatory basis for minimum standard and recommended best practices are discussed.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research