ArticleJournal of the Society for Clinical Data Management2024
Clinical Data Warehousing: A Scoping Review.
Article in Journal of the Society for Clinical Data Management, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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
8 citing papers in PubMed.
- X-CART: a multimodal real-world data pipeline for explainable AI-driven patient navigation in radiation oncology.ESMO real world data and digital oncology · 2026Article
- Methodological Development and Assessing Prescribing Determinants Through Cumulative Drug Exposure in Hospitalized Patients: Proof-of-Concept Retrospective Study.JMIR medical informatics · 2026Article
- A Sentence Classification-Based Medical Status Extraction Pipeline for Electronic Health Records: Institutional Case Study.JMIR medical informatics · 2026Article
- Advancing Real-World Evidence Generation: Growth and Lessons Learned from the Early Years of Cosmos.ACI open · 2026Review
- Characteristics of cohort data management systems (CDMS): a scoping review.BMC medical research methodology · 2025Article
- Building a healthcare data warehouse: considerations, opportunities, and challenges.Frontiers in digital health · 2025Review
- The development and use of data warehousing in clinical settings: a scoping review.Frontiers in digital health · 2025Review
- AI Applications in Transfusion Medicine: Opportunities, Challenges, and Future Directions.Acta haematologica · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
Introduction: A clinical data warehouse (CDW) is a powerful resource that supports clinical decision-making and secondary data use by integrating and presenting heterogeneous data sources. Despite considerable effort within healthcare organizations (HCOs) to develop CDWs, scientific literature surrounding clinical data warehousing methods is limited. Objectives: The scoping review aims to characterize the current state of CDW methods within HCOs, to identify extant evidence for practice recommendations, and ultimately to advance the design, implementation, and use of CDWs. Methods: The review encompasses CDW articles published from 2011 through 2021 identified through a systematic PubMed search. Article abstracts were systematically screened by two authors. Full-text articles were reviewed and abstracted independently by two authors with discrepancies resolved through consensus. Results: 137 articles, from 55 journals and 3 conference proceedings, were categorized and analyzed. Areas for increased CDW focus include CDW design (such as data integration of increased data types and sources; extract-transform-load (ETL) optimization; data quality improvement processes; semantic data representation) and CDW governance (such as support tools/documentation and data literacy efforts for staff and end-users; governance structure; and business model/financial support for CDWs including staffing). Conclusion: The study indicates the topics that have been significantly developed and the aspects that need additional focus and reporting in CDW between existing general data management best practices and recently articulated requirements for research data. Also, more multi-site and multi-aspect studies are needed to foster maturity at CDWs.
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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.