Automated Quality Measurement in Department of the Veterans Affairs Discharge Instructions for Patients with Congestive Heart Failure

Quality measurement is an important issue for the United States Department of Veterans Affairs (VA). In this study, we piloted the use of an informatics tool, the Multithreaded Clinical Vocabulary Server (MCVS), which extracted automatically whether the VA Office of Quality and Performance measures...

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Veröffentlicht in:Journal for healthcare quality 2013-07, Vol.35 (4), p.16-24
Hauptverfasser: Garvin, Jennifer H., Elkin, Peter L., Shen, Shuying, Brown, Steven, Trusko, Brett, Wang, Enlai, Hoke, Linda, Quiaoit, Ylenia, LaJoie, Joan, Weiner, Mark G., Graham, Pauline, Speroff, Theodore
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container_end_page 24
container_issue 4
container_start_page 16
container_title Journal for healthcare quality
container_volume 35
creator Garvin, Jennifer H.
Elkin, Peter L.
Shen, Shuying
Brown, Steven
Trusko, Brett
Wang, Enlai
Hoke, Linda
Quiaoit, Ylenia
LaJoie, Joan
Weiner, Mark G.
Graham, Pauline
Speroff, Theodore
description Quality measurement is an important issue for the United States Department of Veterans Affairs (VA). In this study, we piloted the use of an informatics tool, the Multithreaded Clinical Vocabulary Server (MCVS), which extracted automatically whether the VA Office of Quality and Performance measures of quality of care were met for the completion of discharge instructions for inpatients with congestive heart failure. We used a single document, the discharge instructions, from one section of the medical records for 152 patients and developed a reference standard using two independent reviewers to assess performance. When evaluated against the reference standard, MCVS achieved a sensitivity of 0.87, a specificity of 0.86, and a positive predictive value of 0.90. The automated process using the discharge instruction document worked effectively. The use of the MCVS tool for concept‐based indexing resulted in mostly accurate data capture regarding quality measurement, but improvements are needed to further increase the accuracy of data extraction.
doi_str_mv 10.1111/j.1945-1474.2011.195.x
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source MEDLINE; Wiley Online Library Journals Frontfile Complete
subjects Automation
evaluation of health information technology
Health administration
Heart failure
Heart Failure - rehabilitation
Hospitals, Veterans - standards
Humans
Medical Informatics Applications
natural language processing (NLP)
Outcome and Process Assessment (Health Care) - methods
Patient Discharge - standards
Patient Education as Topic - methods
Patient Education as Topic - standards
performance measurement
Pilot Projects
Quality Indicators, Health Care
Systematized Nomenclature of Medicine
United States
United States Department of Veterans Affairs
title Automated Quality Measurement in Department of the Veterans Affairs Discharge Instructions for Patients with Congestive Heart Failure
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