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Comparing the Accuracy of Traditional vs. Electronic Health Record Extracted Data in a Clinical Trial

Year: 2025

Type: book-chapter

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.

Source: Studies in health technology and informatics

DOI: 10.3233/shti250623

Authors: Maryam Y. Garza, Muayad Hamidi, Iddo Peleg, Sapir Balas, Byeong Yeob Choi, Meredith Zozus

Institution: The University of Texas at San Antonio Health Science Center

Language: English

Topic: Electronic Health Records Systems

Subfield: Health Information Management

Field: Health Professions

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: hybrid

OpenAlex ID: W4410447440

FWCI: 3.011

Cites:

Cited by: 1

Related to: 10