Evidence map›Paper›PMID 41049604›Full record

ArticleJAMIA open2025

Opportunities, barriers, and remedies for implementing REDCap integration with electronic health records via Fast Healthcare Interoperability Resources (FHIR).

Alex C Cheng, Cathy Shyr, Adam Lewis, Francesco Delacqua, Teresa Bosler, Mary K Banasiewicz, Robert Taylor, Christopher J Lindsell, Paul A Harris

Abstract readCase Reports
In one paragraph

Article in JAMIA open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Alex C ChengDepartment of Biomedical Informatics, Vanderbilt Institute of Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN 37203, United States.ORCID https://orcid.org/0000-0002-1787-691X
Cathy ShyrDepartment of Biomedical Informatics, Vanderbilt Institute of Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN 37203, United States.ORCID https://orcid.org/0000-0001-7466-0034
Adam LewisVanderbilt Institute of Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN 37203, United States.
Francesco DelacquaVanderbilt Institute of Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN 37203, United States.
Teresa BoslerVanderbilt Institute of Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN 37203, United States.
Mary K BanasiewiczVanderbilt Institute of Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN 37203, United States.
Robert TaylorVanderbilt Institute of Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN 37203, United States.
Christopher J LindsellVanderbilt Institute of Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN 37203, United States.
Paul A HarrisDepartment of Biomedical Informatics, Vanderbilt Institute of Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN 37203, United States.

Funding

Development and implementation of statistical machine learning methods to shorten rare disease odysseysR00LM014429 · NLM · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Cathy Shyr · 2025 to 2026
$493k
NLM NIH HHS R00 LM014429
6 · The paper itself

Abstract

Objective: Accelerate adoption of clinical research technology that obtains electronic health record (EHR) data through HL7 Fast Healthcare Interoperability Resources (FHIR). Materials and Methods: Based on experience helping institutions implement REDCap-EHR integration and surveys of users and potential users, we discuss the technical and organizational barriers to adoption with strategies for remediation. Results: With strong demand from researchers, the 21st Century Cures Act Final Rule in place, and REDCap software already in use at most research organizations, the environment seems ideal for REDCap-EHR integration for automated data exchange. However, concerns from information technology and regulatory leaders often slow progress and restrict how and when data from the EHR can be used. Discussion and Conclusion: While technological controls can help alleviate concerns about FHIR applications used in research, we have found that messaging, education, and extramural funding remain the strongest drivers of adoption.

Indexed as

Electronic Health Records (D057286)implementationinteroperabilityResearch (D012106)SMART-on-FHIR

Identifiers

PMID41049604
PMCPMC12494410

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.