Skip to main content

eSource-Enabled vs. Traditional Clinical Trial Data Collection Methods: A Site-Level Economic Analysis.

Publication ,  Journal Article
Eisenstein, EL; Garza, MY; Rocca, M; Gordon, GS; Zozus, M
Published in: Stud Health Technol Inform
June 16, 2020

Directly extracting data from site electronic health records for updating clinical trial databases (eSource) can reduce site data collection times and errors. We conducted a study to determine clinical trial characteristics that make eSource vs. traditional data collection methods more and less economically attractive. The number of patients a site enrolls, the number of study data elements, study coordinator data collection times, and the percent of study data elements that can be extracted via eSource software all impact eSource economic attractiveness. However, these factors may not impact all clinical trial designs in the same way.

Duke Scholars

Published In

Stud Health Technol Inform

DOI

EISSN

1879-8365

Publication Date

June 16, 2020

Volume

270

Start / End Page

961 / 965

Location

Netherlands

Related Subject Headings

  • Software
  • Medical Informatics
  • Humans
  • Electronic Health Records
  • Data Collection
  • Clinical Trials as Topic
  • 4601 Applied computing
  • 4203 Health services and systems
  • 1117 Public Health and Health Services
  • 0807 Library and Information Studies
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Eisenstein, E. L., Garza, M. Y., Rocca, M., Gordon, G. S., & Zozus, M. (2020). eSource-Enabled vs. Traditional Clinical Trial Data Collection Methods: A Site-Level Economic Analysis. Stud Health Technol Inform, 270, 961–965. https://doi.org/10.3233/SHTI200304
Eisenstein, Eric L., Maryam Y. Garza, Mitra Rocca, Gideon S. Gordon, and Meredith Zozus. “eSource-Enabled vs. Traditional Clinical Trial Data Collection Methods: A Site-Level Economic Analysis.Stud Health Technol Inform 270 (June 16, 2020): 961–65. https://doi.org/10.3233/SHTI200304.
Eisenstein EL, Garza MY, Rocca M, Gordon GS, Zozus M. eSource-Enabled vs. Traditional Clinical Trial Data Collection Methods: A Site-Level Economic Analysis. Stud Health Technol Inform. 2020 Jun 16;270:961–5.
Eisenstein, Eric L., et al. “eSource-Enabled vs. Traditional Clinical Trial Data Collection Methods: A Site-Level Economic Analysis.Stud Health Technol Inform, vol. 270, June 2020, pp. 961–65. Pubmed, doi:10.3233/SHTI200304.
Eisenstein EL, Garza MY, Rocca M, Gordon GS, Zozus M. eSource-Enabled vs. Traditional Clinical Trial Data Collection Methods: A Site-Level Economic Analysis. Stud Health Technol Inform. 2020 Jun 16;270:961–965.

Published In

Stud Health Technol Inform

DOI

EISSN

1879-8365

Publication Date

June 16, 2020

Volume

270

Start / End Page

961 / 965

Location

Netherlands

Related Subject Headings

  • Software
  • Medical Informatics
  • Humans
  • Electronic Health Records
  • Data Collection
  • Clinical Trials as Topic
  • 4601 Applied computing
  • 4203 Health services and systems
  • 1117 Public Health and Health Services
  • 0807 Library and Information Studies