{"id":54904,"date":"2021-08-30T17:05:54","date_gmt":"2021-08-30T21:05:54","guid":{"rendered":"https:\/\/www.med.unc.edu\/medicine\/?p=54904"},"modified":"2023-06-06T18:14:11","modified_gmt":"2023-06-06T22:14:11","slug":"ascertaining-framingham-heart-failure-phenotype-from-inpatient-electronic-health-record-data-using-natural-language-processing-a-multicentre-atherosclerosis-risk-in-communities-aric-validation-stud","status":"publish","type":"post","link":"https:\/\/www.med.unc.edu\/medicine\/news\/ascertaining-framingham-heart-failure-phenotype-from-inpatient-electronic-health-record-data-using-natural-language-processing-a-multicentre-atherosclerosis-risk-in-communities-aric-validation-stud\/","title":{"rendered":"Ascertaining Framingham Heart Failure Phenotype From Inpatient Electronic Health Record Data Using Natural Language Processing: a Multicentre Atherosclerosis Risk in Communities (ARIC) Validation Study"},"content":{"rendered":"
\"carlton-moore\"<\/a>
Carlton Moore, MD, MS<\/figcaption><\/figure>\n

Carlton Moore<\/a>, MD, professor of medicine in the division of infectious diseases, is first author of a retrospective observational study design of patients hospitalized in 2015 from four hospitals participating in the Atherosclerosis Risk in Communities (ARIC) study.<\/p>\n

Using free-text clinical notes and reports from hospitalized patients, the study team wanted to determine the performance of natural language processing (NLP) ascertainment of Framingham heart failure (HF) criteria and phenotype.<\/p>\n

\n

Results showed\u00a0performance of NLP ascertainment of Framingham HF phenotype in the validation dataset was good, with 78.8%, 81.7%, 84.4% and 80.0% for sensitivity, specificity, PPV and agreement, respectively. By decreasing the need for manual chart review, results on the use of NLP to ascertain Framingham HF phenotype from free-text electronic health record data suggest that validated NLP technology holds the potential for significantly improving the feasibility and efficiency of conducting large-scale epidemiologic surveillance of HF prevalence and incidence.<\/p>\n<\/div>\n

\n

Read the article, published in BMJ Open.<\/a><\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

Carlton Moore, MD, professor of medicine in the division of infectious diseases, is first author of a retrospective observational study design of patients hospitalized in 2015 from four hospitals participating in the Atherosclerosis Risk in Communities (ARIC) study. 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Using free-text clinical notes and reports from hospitalized patients, the study team wanted to determine the performance … Read more\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.med.unc.edu\/medicine\/news\/ascertaining-framingham-heart-failure-phenotype-from-inpatient-electronic-health-record-data-using-natural-language-processing-a-multicentre-atherosclerosis-risk-in-communities-aric-validation-stud\/\" \/>\n<meta property=\"og:site_name\" content=\"Department of Medicine\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/UNCDeptMedicine\" \/>\n<meta property=\"article:published_time\" content=\"2021-08-30T21:05:54+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2023-06-06T22:14:11+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.med.unc.edu\/medicine\/wp-content\/uploads\/sites\/945\/2020\/10\/carlton-moore.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"285\" \/>\n\t<meta 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