ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2017
A Framework for Data Quality Assessment in Clinical Research Datasets.
Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 2 of them syntheses that pooled 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.
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
39 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Electronic health record data quality assessment and tools: a systematic review.Journal of the American Medical Informatics Association : JAMIA · 2023Pooled it
- Digital Health Data Quality Issues: Systematic Review.Journal of medical Internet research · 2023Pooled it
- The Rise of Small Language Models in Healthcare: A Comprehensive Survey.Computer science review · 2026Article
- Empowering clinical trial design with agentic intelligence and real-world data.Nature communications · 2026Article
- Beyond Missingness: Systematizing Methods for Comprehensive Data Fitness Assessment in Clinical Research.Journal of medical Internet research · 2026Article
- Preparing real-world data through common data model harmonization of cancer patient records in the COMNet platform at the Modena Oncology Center.Frontiers in digital health · 2026Article
- Concordance of a Web-based Lung Cancer Risk Self-Assessment Tool With Nursing Risk Assessment.CHEST pulmonary · 2025Article
- Automatic recognition of oral health status in mixed dentition via intraoral photography.BMC oral health · 2025Article
- The development and evaluation of a quality assessment framework for reuse of dietary intake data: an FNS-Cloud study.Frontiers in nutrition · 2025Article
- The Use of AI for Phenotype-Genotype Mapping.Methods in molecular biology (Clifton, N.J.) · 2025Article
- Comparing Medical Record Abstraction (MRA) error rates in an observational study to pooled rates identified in the data quality literature.BMC medical research methodology · 2024Observational
- Investigation on the preferences for data quality assessment indicators of electronic health records: user-oriented perspective.JAMIA open · 2024Article
- Electronic Health Record Data Quality and Performance Assessments: Scoping Review.JMIR medical informatics · 2024Article
- Differences in changes of data completeness after the implementation of an electronic medical record in three surgical departments of a German hospital-a longitudinal comparative document analysis.BMC medical informatics and decision making · 2024Article
- Systematically assessing the quality of dental electronic health record data for an investigation into oral health care disparities.Journal of public health dentistry · 2024Article
- Systematic data quality assessment of electronic health record data to evaluate study-specific fitness: Report from the PRESERVE research study.PLOS digital health · 2024Article
- A Standard Framework for Evaluating Large Health Care Data and Related Resources.MMWR supplements · 2024Article
- The impact of data quality monitoring of a multicenter prospective registry of cardiac implantable electronic devices.MethodsX · 2023Article
- The Journey of Data Within a Global Data Sharing Initiative: A Federated 3-Layer Data Analysis Pipeline to Scale Up Multiple Sclerosis Research.JMIR medical informatics · 2023Article
- Data completeness and consistency in individual medical records of institutional births: retrospective crossectional study from Northwest Ethiopia, 2022.BMC health services research · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
The wide availability of electronic health record (EHR) data for multi-institutional clinical research relies on accurately defined patient cohorts to ensure validity, especially when used in conjunction with open-access research data. There is a growing need to utilize a consensus-driven approach to assess data quality. To achieve this goal, we modified an existing data quality assessment (DQA) framework by re-operationalizing dimensions of quality for a clinical domain of interest - heart failure. We then created an inventory of common phenotype data elements (CPDEs) derived from open-access datasets and evaluated it against the modified DQA framework. We measured our inventory of CPDEs for
Indexed as
Identifiers
29854176PMC5977591What 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.