@inbook{f9dbd02ab62d40e88d9a23f16dc00099,
title = "Development of data validation rules for therapeutic area standard data elements in four mental health domains to improve the quality of FDA submissions",
abstract = "Data standards are now required for many submissions to the United States Food and Drug Administration (FDA). The required standard for submission of clinical data is the Clinical Data Interchange Standards Consortium (CDISC) Submission Data Tabulation Model (SDTM). Currently, 45 business rules and 115 associated validation rules exist for SDTM data. However, such rules have not yet been developed for therapeutic area data standards developed under the last reauthorization of the Prescription Drug User Fee Act (PDUFA V). The objective of this effort was to develop data validation rules for new therapeutic area data standards in four mental health domains, assess the metadata required to associate such rules with standard data elements, and assess the level of data validation possible for therapeutic area data elements.",
keywords = "CDISC SDTM, data standards, regulatory submissions, therapeutic area standards, validation rules",
author = "Maryam Garza and Emel Seker and Meredith Zozus",
note = "Publisher Copyright: {\textcopyright} 2019 American Psychological Association Inc. All rights reserved.",
year = "2019",
doi = "10.3233/978-1-61499-951-5-125",
language = "English (US)",
series = "Studies in Health Technology and Informatics",
publisher = "IOS Press",
pages = "125--132",
editor = "Kuo, {Alex Mu-Hsing} and Andre Kushniruk and Francis Lau and Borycki, {Elizabeth M.} and Gerry Bliss and Helen Monkman and Roudsari, {Abdul Vahabpour} and Bartle-Clar, {John A.} and Courtney, {Karen L.}",
booktitle = "Improving Usability, Safety and Patient Outcomes with Health Information Technology",
}