ArticleEGEMS (Washington, DC)2013
Recommendations for the use of operational electronic health record data in comparative effectiveness research.
Article in EGEMS (Washington, DC), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 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
37 citing papers in PubMed.
- Automated data extraction from electronic medical records for pragmatic clinical trials.Journal of medical systems · 2026Article
- A method to enable clinical and translational research teams with custom real-world data from electronic health record systems.Journal of clinical and translational science · 2026Article
- Clinical endpoints in pragmatic heart failure trials: From data collection to clinical endpoint classification.ESC heart failure · 2025Review
- Transparency in the secondary use of health data: assessing the status quo of guidance and best practices.Royal Society open science · 2025Article
- Linking Patient Encounters across Primary and Ancillary Electronic Health Record Systems: A Comparison of Two Approaches.ACI open · 2024Article
- Research data warehouse: using electronic health records to conduct population-based observational studies.JAMIA open · 2023Article
- Assessing the impact of privacy-preserving record linkage on record overlap and patient demographic and clinical characteristics in PCORnet®, the National Patient-Centered Clinical Research Network.Journal of the American Medical Informatics Association : JAMIA · 2023Article
- Validation of automated data abstraction for SCCM discovery VIRUS COVID-19 registry: practical EHR export pathways (VIRUS-PEEP).Frontiers in medicine · 2023Article
- Outliers in diagnosis ratios: A clue toward possibly absent data.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2023Article
- The IeDEA harmonist data toolkit: A data quality and data sharing solution for a global HIV research consortium.Journal of biomedical informatics · 2022Article
- An architecture for research computing in health to support clinical and translational investigators with electronic patient data.Journal of the American Medical Informatics Association : JAMIA · 2022Article
- Health Informatics: Engaging Modern Healthcare Units: A Brief Overview.Frontiers in public health · 2022Review
- Comparing automated vs. manual data collection for COVID-specific medications from electronic health records.International journal of medical informatics · 2022Article
- Using Electronic Medical Record Data for Research in a Healthcare Information and Management Systems Society (HIMSS) Analytics Electronic Medical Record Adoption Model (EMRAM) Stage 7 Hospital in Beijing: Cross-sectional Study.JMIR medical informatics · 2021Article
- The National COVID Cohort Collaborative (N3C): Rationale, design, infrastructure, and deployment.Journal of the American Medical Informatics Association : JAMIA · 2021Article
- Article
- Understanding enterprise data warehouses to support clinical and translational research.Journal of the American Medical Informatics Association : JAMIA · 2020Article
- Population-Based Registry Linkages to Improve Validity of Electronic Health Record-Based Cancer Research.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2020Article
- Incrementally Transforming Electronic Medical Records into the Observational Medical Outcomes Partnership Common Data Model: A Multidimensional Quality Assurance Approach.Applied clinical informatics · 2019Article
- Health Data for Research Through a Nationwide Privacy-Proof System in Belgium: Design and Implementation.JMIR medical informatics · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
Abstract
There is an increasing amount of clinical data in operational electronic health record (EHR) systems. Such data provide substantial opportunities for their re-use for many purposes, including comparative effectiveness research (CER). In a previous paper, we identified a number of caveats related to the use of such data, noting that they may be inaccurate, incomplete, transformed in ways that undermine their meaning, unrecoverable for research, of unknown provenance, of insufficient granularity, or incompatible with research protocols. In this paper, we provide recommendations for overcoming these caveats with the goal of leveraging such data to benefit CER and other health care activities. These recommendations include adaptation of "best evidence" approaches to use of data; processes to evaluate availability, completeness, quality, and transformability of data; creation of tools to manage data and their attributes; determination of metrics for assessing whether data are "research grade"; development of methods for comparative validation of data; construction of a methodology database for methods involving use of clinical data; standardized reporting methods for data and their attributes; appropriate use of informatics expertise; and a research agenda to determine biases inherent in operational data and to assess informatics approaches to their improvement.
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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.