Comparing the Accuracy of Traditional vs. FHIR®-Based Extraction of Electronic Health Record Data for Two Clinical Trials

Maryam Y. Garza, Christina Spencer, Muayad Hamidi, Michael Liss, Manju Bikkanuri, Mahanazuddin Syed, Sunita Yadav, Gurtejpal Bhardwaj, Amar P.S. Chahal, Keith Goodman, Byeong Yeob Cηοι, Eric L. Eisenstein, Meredith Zozus

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

While pilots and production use of software based on the Health Level Seven (HL7®) Fast Healthcare Interoperability Resources (FHIR®) standard are increasing in clinical research, we lack consistent evaluative data on important outcomes, such as data accuracy. We compared the accuracy of EHR collected, FHIR® extracted data (called EHR-to-eCRF data collection) to traditional clinical trial data collection. The accuracy rate for EHR-collected data was significantly higher than for the same data collected through traditional methods. It is possible that EHR-collected (FHIR® extracted) data can substantially improve data quality in clinical studies while decreasing the burden on study sites.

Original languageEnglish (US)
Title of host publicationDigital Health and Informatics Innovations for Sustainable Health Care Systems - Proceedings of MIE 2024
EditorsJohn Mantas, Arie Hasman, George Demiris, Kaija Saranto, Michael Marschollek, Theodoros N. Arvanitis, Ivana Ognjanovic, Arriel Benis, Parisis Gallos, Emmanouil Zoulias, Elisavet Andrikopoulou
PublisherIOS Press BV
Pages1368-1372
Number of pages5
ISBN (Electronic)9781643685335
DOIs
StatePublished - Aug 22 2024
Externally publishedYes
Event34th Medical Informatics Europe Conference, MIE 2024 - Athens, Greece
Duration: Aug 25 2024Aug 29 2024

Publication series

NameStudies in Health Technology and Informatics
Volume316
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365

Conference

Conference34th Medical Informatics Europe Conference, MIE 2024
Country/TerritoryGreece
CityAthens
Period8/25/248/29/24

Keywords

  • Clinical Research Informatics
  • Clinical Trial
  • Data Management
  • Data Quality
  • EDC
  • EHR

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

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