ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2012
An evaluation of the NQF Quality Data Model for representing Electronic Health Record driven phenotyping algorithms.
Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.
What it found
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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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Who cites it
32 citing papers in PubMed.
- Accuracy of Asthma Computable Phenotypes to Identify Pediatric Asthma at an Academic Institution.Methods of information in medicine · 2020Article
- Representation of EHR data for predictive modeling: a comparison between UMLS and other terminologies.Journal of the American Medical Informatics Association : JAMIA · 2020Article
- Igniting Harmonized Digital Clinical Quality Measurement through Terminology, CQL, and FHIR.Applied clinical informatics · 2020Article
- Developing a FHIR-based Framework for Phenome Wide Association Studies: A Case Study with A Pan-Cancer Cohort.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2020Article
- UK phenomics platform for developing and validating electronic health record phenotypes: CALIBER.Journal of the American Medical Informatics Association : JAMIA · 2019Article
- Making work visible for electronic phenotype implementation: Lessons learned from the eMERGE network.Journal of biomedical informatics · 2019Article
- Facilitating phenotype transfer using a common data model.Journal of biomedical informatics · 2019Article
- A case study evaluating the portability of an executable computable phenotype algorithm across multiple institutions and electronic health record environments.Journal of the American Medical Informatics Association : JAMIA · 2018Article
- Defining Phenotypes from Clinical Data to Drive Genomic Research.Annual review of biomedical data science · 2018Article
- Automating Quality Measures for Heart Failure Using Natural Language Processing: A Descriptive Study in the Department of Veterans Affairs.JMIR medical informatics · 2018Article
- Integration of Clinical Decision Support and Electronic Clinical Quality Measurement: Domain Expert Insights and Implications for Future Direction.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2018Article
- PheKB: a catalog and workflow for creating electronic phenotype algorithms for transportability.Journal of the American Medical Informatics Association : JAMIA · 2016Article
- Developing a data element repository to support EHR-driven phenotype algorithm authoring and execution.Journal of biomedical informatics · 2016Article
- A Decompositional Approach to Executing Quality Data Model Algorithms on the i2b2 Platform.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2016Article
- Extracting a stroke phenotype risk factor from Veteran Health Administration clinical reports: an information content analysis.Journal of biomedical semantics · 2016Article
- Developing a modular architecture for creation of rule-based clinical diagnostic criteria.BioData mining · 2016Article
- ePhenotyping for Abdominal Aortic Aneurysm in the Electronic Medical Records and Genomics (eMERGE) Network: Algorithm Development and Konstanz Information Miner Workflow.International journal of biomedical data mining · 2015Article
- Desiderata for computable representations of electronic health records-driven phenotype algorithms.Journal of the American Medical Informatics Association : JAMIA · 2015Article
- A Modular Architecture for Electronic Health Record-Driven Phenotyping.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2015Article
- A Prototype for Executable and Portable Electronic Clinical Quality Measures Using the KNIME Analytics Platform.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2015Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
The development of Electronic Health Record (EHR)-based phenotype selection algorithms is a non-trivial and highly iterative process involving domain experts and informaticians. To make it easier to port algorithms across institutions, it is desirable to represent them using an unambiguous formal specification language. For this purpose we evaluated the recently developed National Quality Forum (NQF) information model designed for EHR-based quality measures: the Quality Data Model (QDM). We selected 9 phenotyping algorithms that had been previously developed as part of the eMERGE consortium and translated them into QDM format. Our study concluded that the QDM contains several core elements that make it a promising format for EHR-driven phenotyping algorithms for clinical research. However, we also found areas in which the QDM could be usefully extended, such as representing information extracted from clinical text, and the ability to handle algorithms that do not consist of Boolean combinations of criteria.
Indexed as
Identifiers
23304366PMC3540514What 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.