Skip to main content
Journal cover image

Assessing clinical site readiness for electronic health record (EHR)-to-electronic data capture (EDC) automated data collection.

Publication ,  Journal Article
Eisenstein, EL; Zozus, MN; Garza, MY; Lanham, HJ; Adagarla, B; Walden, A; Benjamin, DK; Zimmerman, KO; Kumar, KR ...
Published in: Contemp Clin Trials
May 2023

BACKGROUND: eSource software is used to automatically copy a patient's electronic health record data into a clinical study's electronic case report form. However, there is little evidence to assist sponsors in identifying the best sites for multi-center eSource studies. METHODS: We developed an eSource site readiness survey. The survey was administered to principal investigators, clinical research coordinators, and chief research information officers at Pediatric Trial Network sites. RESULTS: A total of 61 respondents were included in this study (clinical research coordinator, 22; principal investigator, 20; and chief research information officer, 19). Clinical research coordinators and principal investigators ranked medication administration, medication orders, laboratory, medical history, and vital signs data as having the highest priority for automation. While most organizations used some electronic health record research functions (clinical research coordinator, 77%; principal investigator, 75%; and chief research information officer, 89%), only 21% of sites were using Fast Healthcare Interoperability Resources standards to exchange patient data with other institutions. Respondents generally gave lower readiness for change ratings to organizations that did not have a separate research information technology group and where researchers practiced in hospitals not operated by their medical schools. CONCLUSIONS: Site readiness to participate in eSource studies is not merely a technical problem. While technical capabilities are important, organizational priorities, structure, and the site's support of clinical research functions are equally important considerations.

Duke Scholars

Published In

Contemp Clin Trials

DOI

EISSN

1559-2030

Publication Date

May 2023

Volume

128

Start / End Page

107144

Location

United States

Related Subject Headings

  • Surveys and Questionnaires
  • Software
  • Public Health
  • Humans
  • General Clinical Medicine
  • Electronics
  • Electronic Health Records
  • Data Collection
  • Child
  • 42 Health sciences
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Eisenstein, E. L., Zozus, M. N., Garza, M. Y., Lanham, H. J., Adagarla, B., Walden, A., … Best Pharmaceuticals for Children Act - Pediatric Trials Network Steering Committee, . (2023). Assessing clinical site readiness for electronic health record (EHR)-to-electronic data capture (EDC) automated data collection. Contemp Clin Trials, 128, 107144. https://doi.org/10.1016/j.cct.2023.107144
Eisenstein, Eric L., Meredith N. Zozus, Maryam Y. Garza, Holly J. Lanham, Bhargav Adagarla, Anita Walden, Daniel K. Benjamin, Kanecia O. Zimmerman, Karan R. Kumar, and Karan R. Best Pharmaceuticals for Children Act - Pediatric Trials Network Steering Committee. “Assessing clinical site readiness for electronic health record (EHR)-to-electronic data capture (EDC) automated data collection.Contemp Clin Trials 128 (May 2023): 107144. https://doi.org/10.1016/j.cct.2023.107144.
Eisenstein EL, Zozus MN, Garza MY, Lanham HJ, Adagarla B, Walden A, et al. Assessing clinical site readiness for electronic health record (EHR)-to-electronic data capture (EDC) automated data collection. Contemp Clin Trials. 2023 May;128:107144.
Eisenstein, Eric L., et al. “Assessing clinical site readiness for electronic health record (EHR)-to-electronic data capture (EDC) automated data collection.Contemp Clin Trials, vol. 128, May 2023, p. 107144. Pubmed, doi:10.1016/j.cct.2023.107144.
Eisenstein EL, Zozus MN, Garza MY, Lanham HJ, Adagarla B, Walden A, Benjamin DK, Zimmerman KO, Kumar KR, Best Pharmaceuticals for Children Act - Pediatric Trials Network Steering Committee. Assessing clinical site readiness for electronic health record (EHR)-to-electronic data capture (EDC) automated data collection. Contemp Clin Trials. 2023 May;128:107144.
Journal cover image

Published In

Contemp Clin Trials

DOI

EISSN

1559-2030

Publication Date

May 2023

Volume

128

Start / End Page

107144

Location

United States

Related Subject Headings

  • Surveys and Questionnaires
  • Software
  • Public Health
  • Humans
  • General Clinical Medicine
  • Electronics
  • Electronic Health Records
  • Data Collection
  • Child
  • 42 Health sciences