ArticleApplied clinical informatics2025
The Honest Enterprise Research Broker: Facilitating Ethical, Efficient, and Secure Access to Health Data for Research.
Article in Applied clinical informatics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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.
Who cites it
2 citing papers in PubMed.
- An Honest Broker System for Secure Linkage of Opioid-related Clinical, Prescription, and Outcomes Data.Anesthesiology open · 2026Article
- Real-world evidence on data quality in precision oncology platforms: insights from the Molecular Twin Research Umbrella protocol.Frontiers in digital health · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors.
Funding
Abstract
backgroundHealth systems generate and store vast amounts of clinical data, requiring structured processes to ensure that secondary use of the data is available to researchers in an efficient, ethical, and secure manner.
objectiveWe describe a process to provide data to health system researchers at a large, multi-hospital health system that balances efficiency with security and ethics.
methodsThe Honest Enterprise Research Broker (HERB) Committee has enacted a systematic process to deliver investigators requesting data, using pre-written SQL code, when possible, to increase efficiency, providing a suite of self-service tools for cohort size estimation, and assessing the security and privacy of data leaving the institution. We evaluated the number of extracts per year, the average time to delivery of the data extract, and user satisfaction with the process.
resultsFrom 2018 to 2023, the HERB Committee completed 487 data extracts. The number of requests increased from 51 in 2018 to 121 in 2023. Even as the number of extracts increased, the number of hours per extract decreased from 12.5 in 2018 to 9 in 2023. User satisfaction surveys found a high degree of satisfaction with the process.
conclusionThrough a process of continuous improvement, the HERB Committee has developed an expedient process to support the research needs of a large academic multi-hospital health system.
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What 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.