ArticleAMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science2015
A Prototype for Executable and Portable Electronic Clinical Quality Measures Using the KNIME Analytics Platform.
Article in AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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The trial behind it
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Who cites it
12 citing papers in PubMed.
- Characterizing variability of electronic health record-driven phenotype definitions.Journal of the American Medical Informatics Association : JAMIA · 2023Article
- Design and validation of a FHIR-based EHR-driven phenotyping toolbox.Journal of the American Medical Informatics Association : JAMIA · 2022Article
- Desiderata for the development of next-generation electronic health record phenotype libraries.GigaScience · 2021Article
- Toward cross-platform electronic health record-driven phenotyping using Clinical Quality Language.Learning health systems · 2020Article
- Making work visible for electronic phenotype implementation: Lessons learned from the eMERGE network.Journal of biomedical informatics · 2019Article
- Quality Informatics: The Convergence of Healthcare Data, Analytics, and Clinical Excellence.Applied clinical 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
- Evaluating electronic health record data sources and algorithmic approaches to identify hypertensive individuals.Journal of the American Medical Informatics Association : JAMIA · 2017Article
- Developing a data element repository to support EHR-driven phenotype algorithm authoring and execution.Journal of biomedical informatics · 2016Article
- Clinical phenotyping in selected national networks: demonstrating the need for high-throughput, portable, and computational methods.Artificial intelligence in medicine · 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
- Desiderata for computable representations of electronic health records-driven phenotype algorithms.Journal of the American Medical Informatics Association : JAMIA · 2015Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
Electronic clinical quality measures (eCQMs) based on the Quality Data Model (QDM) cannot currently be executed against non-standardized electronic health record (EHR) data. To address this gap, we prototyped an implementation of a QDM-based eCQM using KNIME, an open-source platform comprising a wide array of computational workflow tools that are collectively capable of executing QDM-based logic, while also giving users the flexibility to customize mappings from site-specific EHR data. To prototype this capability, we implemented eCQM CMS30 (titled: Statin Prescribed at Discharge) using KNIME. The implementation contains value set modules with connections to the National Library of Medicine's Value Set Authority Center, QDM Data Elements that can query a local EHR database, and logical and temporal operators. We successfully executed the KNIME implementation of CMS30 using data from the Vanderbilt University and Northwestern University EHR systems.
Identifiers
26306254PMC4525225What 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.