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Optimizing data integration in trials that use EHR data: lessons learned from a multi-center randomized clinical trial.

Publication ,  Journal Article
Raman, SR; Qualls, LG; Hammill, BG; Nelson, AJ; Nilles, EK; Marsolo, K; O'Brien, EC
Published in: Trials
September 1, 2023

BACKGROUND: Despite great promise, trials that ascertain patient clinical data from electronic health records (EHR), referred to here as "EHR-sourced" trials, are limited by uncertainty about how existing trial sites and infrastructure can be best used to operationalize study goals. Evidence is needed to support the practical use of EHRs in contemporary clinical trial settings. MAIN TEXT: We describe a demonstration project that used EHR data to complement data collected for a contemporary multi-center pharmaceutical industry outcomes trial, and how a central coordinating center supported participating sites through the technical, governance, and operational aspects of this type of activity. We discuss operational considerations related to site selection, data extraction, site performance, and data transfer and quality review, and we outline challenges and lessons learned. We surveyed potential sites and used their responses to assess feasibility, determine the potential capabilities of sites and choose an appropriate data extraction strategy. We designed a flexible, multimodal approach for data extraction, enabling each site to either leverage an existing data source, create a new research datamart, or send all data to the central coordinating center to produce the requisite data elements. We evaluated site performance, as reflected by the speed of contracting and IRB approval, total patients enrolled, enrollment yield, data quality, and compared performance by data collection strategy. CONCLUSION: While broadening the type of sites able to participate in EHR-sourced trials may lead to greater generalizability and improved enrollment, sites with fewer technical resources may require additional support to participate. Central coordinating center support is essential to facilitate the execution of operational processes. Future work should focus on sharing lessons learned and creating reusable tools to facilitate participation of heterogeneous trial sites.

Duke Scholars

Published In

Trials

DOI

EISSN

1745-6215

Publication Date

September 1, 2023

Volume

24

Issue

1

Start / End Page

566

Location

England

Related Subject Headings

  • Medicine
  • Humans
  • General & Internal Medicine
  • Electronic Health Records
  • Drug Industry
  • Data Collection
  • Data Accuracy
  • Cardiovascular System & Hematology
  • 4203 Health services and systems
  • 4202 Epidemiology
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Raman, S. R., Qualls, L. G., Hammill, B. G., Nelson, A. J., Nilles, E. K., Marsolo, K., & O’Brien, E. C. (2023). Optimizing data integration in trials that use EHR data: lessons learned from a multi-center randomized clinical trial. Trials, 24(1), 566. https://doi.org/10.1186/s13063-023-07563-y
Raman, Sudha R., Laura G. Qualls, Bradley G. Hammill, Adam J. Nelson, Ester Kim Nilles, Keith Marsolo, and Emily C. O’Brien. “Optimizing data integration in trials that use EHR data: lessons learned from a multi-center randomized clinical trial.Trials 24, no. 1 (September 1, 2023): 566. https://doi.org/10.1186/s13063-023-07563-y.
Raman SR, Qualls LG, Hammill BG, Nelson AJ, Nilles EK, Marsolo K, et al. Optimizing data integration in trials that use EHR data: lessons learned from a multi-center randomized clinical trial. Trials. 2023 Sep 1;24(1):566.
Raman, Sudha R., et al. “Optimizing data integration in trials that use EHR data: lessons learned from a multi-center randomized clinical trial.Trials, vol. 24, no. 1, Sept. 2023, p. 566. Pubmed, doi:10.1186/s13063-023-07563-y.
Raman SR, Qualls LG, Hammill BG, Nelson AJ, Nilles EK, Marsolo K, O’Brien EC. Optimizing data integration in trials that use EHR data: lessons learned from a multi-center randomized clinical trial. Trials. 2023 Sep 1;24(1):566.
Journal cover image

Published In

Trials

DOI

EISSN

1745-6215

Publication Date

September 1, 2023

Volume

24

Issue

1

Start / End Page

566

Location

England

Related Subject Headings

  • Medicine
  • Humans
  • General & Internal Medicine
  • Electronic Health Records
  • Drug Industry
  • Data Collection
  • Data Accuracy
  • Cardiovascular System & Hematology
  • 4203 Health services and systems
  • 4202 Epidemiology