@inbook{db7490a963404ee189521aa302c662c5,
title = "Evaluative outcomes in direct extraction and use of EHR data in clinical trials",
abstract = "Use of electronic health record (EHR) data in clinical trials has long been a goal for researchers. However, few demonstrations and fewer evaluative studies have been published. The variability in outcome choice and measurement hinders synthesis of the extant literature. In collaboration with a contemporaneous systematic review of EHR data use in clinical trial data collection, we analyze reported outcomes and recommend a standardized measure set for the evaluation of human safety, data quality, operational efficiency and cost of eSource solutions.",
keywords = "Electronic health records, data collection, data quality, data standards, eSource, quality metrics",
author = "Amy Nordo and Eisenstein, \{Eric L.\} and Maryam Garza and Hammond, \{W. Ed\} and Zozus, \{Meredith Nahm\}",
note = "Publisher Copyright: {\textcopyright} 2019 American Psychological Association Inc. All rights reserved.",
year = "2019",
doi = "10.3233/978-1-61499-951-5-333",
language = "English (US)",
series = "Studies in Health Technology and Informatics",
publisher = "IOS Press",
pages = "333--340",
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",
}