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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Detalles Bibliográficos
Autores principales: 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: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2018
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5789165/
https://www.ncbi.nlm.nih.gov/pubmed/29335238
http://dx.doi.org/10.2196/medinform.9150

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5789165/
https://www.ncbi.nlm.nih.gov/pubmed/29335238
http://dx.doi.org/10.2196/medinform.9150

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