ArticleAMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science2026
Advancing Clinical Trial Efficiency and Data Accuracy through Direct EHR-to-EDC Integration.
Article in AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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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.
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.
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
For study sponsors, clinical trial efficiency and data accuracy are non-negotiable drivers of success. Despite broad digitization in healthcare, redundant data entry persists, and the current reliance on manual transcription from electronic health records (EHRs) into electronic data capture (EDC) systems creates unnecessary complexity- leading to higher costs, site burden, and data quality risks. With the growing maturity of interoperability standards and frameworks, direct EHR-to-EDC integration offers a transformative opportunity to automate data transfer, improve accuracy, and streamline operations. This paper evaluates the impact of direct EHR-to-EDC integration on data quality compared to traditional workflows. Our findings in a multi-study, multi-site assessment demonstrate that manual transcription resulted in an error rate of 8.23% (95% CI: 7.79-8.70), whereas no transcription errors were detected in the integrated EHR-to-EDC workflow (95% CI: 0.00-0.03). These results underscore the potential of interoperability-based automation to improve data reliability and operational efficiency in clinical research.
Identifiers
42317828PMC13274265What OpenQuestion holds
Registered trials
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.