Automating Quality Measures for Heart Failure Using Natural Language Processing: A Descriptive Study in the Department of Veterans Affairs

BACKGROUND: We developed an accurate, stakeholder-informed, automated, natural language processing (NLP) system to measure the quality of heart failure (HF) inpatient care, and explored the potential for adoption of this system within an integrated health care system. OBJECTIVE: To accurately automa...

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Detalhes bibliográficos
Publicado no:JMIR Med Inform
Main Authors: Garvin, Jennifer Hornung, Kim, Youngjun, Gobbel, Glenn Temple, Matheny, Michael E, Redd, Andrew, Bray, Bruce E, Heidenreich, Paul, Bolton, Dan, Heavirland, Julia, Kelly, Natalie, Reeves, Ruth, Kalsy, Megha, Goldstein, Mary Kane, Meystre, Stephane M
Formato: Artigo
Idioma:Inglês
Publicado em: JMIR Publications 2018
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Original Paper
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC5789165/
https://ncbi.nlm.nih.gov/pubmed/29335238
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.2196/medinform.9150
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