ArticleJournal of the American Medical Informatics Association : JAMIA
Automated extraction of ejection fraction for quality measurement using regular expressions in Unstructured Information Management Architecture (UIMA) for heart failure.
Article in Journal of the American Medical Informatics Association : JAMIA. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers.
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Who cites it
59 citing papers in PubMed, 102 citations in OpenAlex.
- Leveraging natural language processing artificial intelligence for automated data extraction of ejection fraction and strain from cardiovascular imaging reports.American heart journal plus : cardiology research and practice · 2026Article
- EchoLLM: extracting echocardiogram entities with light-weight, open-source large language models.JAMIA open · 2025Article
- Outcomes of KDIGO-Defined CKD in U.S. Veterans With HFpEF, HFmrEF, and HFrEF.JACC. Heart failure · 2025Article
- Identification and outcomes of KDIGO-defined chronic kidney disease in 1.4 million U.S. Veterans with heart failure.European journal of heart failure · 2024Article
- Developing a Parsimonious Frailty Index for Older, Multimorbid Adults With Heart Failure Using Machine Learning.The American journal of cardiology · 2023Article
- Validation of a Natural Language Processing Algorithm for the Extraction of the Sleep Parameters from the Polysomnography Reports.Healthcare (Basel, Switzerland) · 2022Article
- Mortality in patients with heart failure and suicidal ideation discharged to skilled nursing facilities.Journal of geriatric cardiology : JGC · 2022Article
- Age at Diagnosis of Heart Failure in United States Veterans With and Without HIV Infection.Journal of the American Heart Association · 2021Article
- Natural Language Processing and Machine Learning for Identifying Incident Stroke From Electronic Health Records: Algorithm Development and Validation.Journal of medical Internet research · 2021Article
- Application of optical character recognition with natural language processing for large-scale quality metric data extraction in colonoscopy reports.Gastrointestinal endoscopy · 2021Article
- Identification of Five Quality Needs for Rheumatology (Text Analysis and Literature Review).Frontiers in medicine · 2021Review
- Evaluation of Changes in Veterans Affairs Medical Centers' Mortality Rates After Risk Adjustment for Socioeconomic Status.JAMA network open · 2020Observational
- Heart Failure Outcomes and Associated Factors Among Veterans With Human Immunodeficiency Virus Infection.JACC. Heart failure · 2020Article
- Mortality Trends for Veterans Hospitalized With Heart Failure and Pneumonia Using Claims-Based vs Clinical Risk-Adjustment Variables.JAMA internal medicine · 2020Article
- EXTraction of EMR numerical data: an efficient and generalizable tool to EXTEND clinical research.BMC medical informatics and decision making · 2019Article
- Cohort selection for clinical trials using hierarchical neural network.Journal of the American Medical Informatics Association : JAMIA · 2019Article
- Association of Sex With Postoperative Mortality Among Patients With Heart Failure Who Underwent Elective Noncardiac Operations.JAMA network open · 2019Article
- Association Between Heart Failure and Postoperative Mortality Among Patients Undergoing Ambulatory Noncardiac Surgery.JAMA surgery · 2019Article
- Underserved populations with missing race ethnicity data differ significantly from those with structured race/ethnicity documentation.Journal of the American Medical Informatics Association : JAMIA · 2019Observational
- Enhancing ontology-driven diagnostic reasoning with a symptom-dependency-aware Naïve Bayes classifier.BMC bioinformatics · 2019Article
Corrections and comments
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Authors and funding
12 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesLeft ventricular ejection fraction (EF) is a key component of heart failure quality measures used within the Department of Veteran Affairs (VA). Our goals were to build a natural language processing system to extract the EF from free-text echocardiogram reports to automate measurement reporting and to validate the accuracy of the system using a comparison reference standard developed through human review. This project was a Translational Use Case Project within the VA Consortium for Healthcare Informatics. MATERIALS AND
methodsWe created a set of regular expressions and rules to capture the EF using a random sample of 765 echocardiograms from seven VA medical centers. The documents were randomly assigned to two sets: a set of 275 used for training and a second set of 490 used for testing and validation. To establish the reference standard, two independent reviewers annotated all documents in both sets; a third reviewer adjudicated disagreements.
resultsSystem test results for document-level classification of EF of <40% had a sensitivity (recall) of 98.41%, a specificity of 100%, a positive predictive value (precision) of 100%, and an F measure of 99.2%. System test results at the concept level had a sensitivity of 88.9% (95% CI 87.7% to 90.0%), a positive predictive value of 95% (95% CI 94.2% to 95.9%), and an F measure of 91.9% (95% CI 91.2% to 92.7%). DISCUSSION: An EF value of <40% can be accurately identified in VA echocardiogram reports.
conclusionsAn automated information extraction system can be used to accurately extract EF for quality measurement.
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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.