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