Automating Quality Measures for Heart Failure Using Natural Language Processing: A Descriptive Study in the Department of Veterans Affairs-Reference-Cited by-同舟云学术

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

Published:2018-01-15 Issue:1 Volume:6 Page:e5
ISSN:2291-9694
Container-title:JMIR Medical Informatics
language:en
Short-container-title:JMIR Med Inform

Author:

Garvin Jennifer Hornung^ORCID,Kim Youngjun^ORCID,Gobbel Glenn Temple^ORCID,Matheny Michael E^ORCID,Redd Andrew^ORCID,Bray Bruce E^ORCID,Heidenreich Paul^ORCID,Bolton Dan^ORCID,Heavirland Julia^ORCID,Kelly Natalie^ORCID,Reeves Ruth^ORCID,Kalsy Megha^ORCID,Goldstein Mary Kane^ORCID,Meystre Stephane M^ORCID

Publisher

JMIR Publications Inc.

Subject

Health Information Management,Health Informatics

Reference67 articles.

1. Heart Disease and Stroke Statistics—2017 Update: A Report From the American Heart Association

2. VA Office of Research and Development, Health Services Research and Development ServiceQuality Enhancement Research Initiative (QUERI) Chronic Heart Failure Fact Sheet20142017-09-27Palo Alto, Californiahttp://www.queri.research.va.gov/about/factsheets/chf_factsheet.pdf

3. Forecasting the Impact of Heart Failure in the United States

4. Centers for Disease Control and PreventionHeart Failure Fact Sheet20172017-09-27http://www.cdc.gov/dhdsp/data_statistics/fact_sheets/fs_heart_failure.htm

5. American Heart Association20172017-09-27Heart disease and stroke statistics 2017 at-a-glance https://www.heart.org/idc/groups/ahamah-public/@wcm/@sop/@smd/documents/downloadable/ucm_491265.pdf

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