@inproceedings{831ae18627014d2f92408184263345b0,
title = "Comparing the Accuracy of Traditional vs. Electronic Health Record Extracted Data in a Clinical Trial",
abstract = "As pressure to increase operational efficiency in clinical trials grows, organizations are looking to advances such as tools enabling extraction of Electronic Health Record (EHR) data and transmission to the study database or electronic Case Report Form (eCRF). As interest and adoption of these tools, often called EHR-to-eCRF software, grows in clinical research, consistent evaluative data on key outcomes, such as data accuracy, remains limited. This study compared the accuracy of data collected from EHRs using EHR-to-eCRF technology to traditional methods of clinical trial data collection. The accuracy of the EHR-extracted data was significantly higher than that of data collected through the traditional approach. These results suggest that EHR-based data collection could substantially enhance data quality in clinical trials.",
keywords = "Clinical Research Informatics, Clinical Trial, Data Management, Data Quality, EDC, EHR",
author = "Garza, \{Maryam Y.\} and Muayad Hamidi and Iddo Peleg and Sapir Balas and Choi, \{Byeong Yeob\} and Meredith Zozus",
note = "Publisher Copyright: {\textcopyright} 2025 The Authors.; 35th Medical Informatics Europe Conference, MIE 2025 ; Conference date: 19-05-2025 Through 21-05-2025",
year = "2025",
month = may,
day = "15",
doi = "10.3233/SHTI250623",
language = "English (US)",
series = "Studies in Health Technology and Informatics",
publisher = "IOS Press BV",
pages = "1353--1357",
editor = "Elisavet Andrikopoulou and Parisis Gallos and Arvanitis, \{Theodoros N.\} and Rosalynn Austin and Arriel Benis and Ronald Cornet and Panagiotis Chatzistergos and Alexander Dejaco and Linda Dusseljee-Peute and Alaa Mohasseb and Pantelis Natsiavas and Haythem Nakkas and Philip Scott",
booktitle = "Intelligent Health Systems - From Technology to Data and Knowledge, Proceedings of MIE 2025",
address = "Netherlands",
}