Identifying patients with hypertension: a case for auditing electronic health record data. Baus, A., Hendryx, M., & Pollard, C. Perspectives in health information management / AHIMA, American Health Information Management Association, 9:1e, 2012. abstract bibtex Problems in the structure, consistency, and completeness of electronic health record data are barriers to outcomes research, quality improvement, and practice redesign. This nonexperimental retrospective study examines the utility of importing de-identified electronic health record data into an external system to identify patients with and at risk for essential hypertension. We find a statistically significant increase in cases based on combined use of diagnostic and free-text coding (mean = 1,256.1, 95% CI 1,232.3-1,279.7) compared to diagnostic coding alone (mean = 1,174.5, 95% CI 1,150.5-1,198.3). While it is not surprising that significantly more patients are identified when broadening search criteria, the implications are critical for quality of care, the movement toward the National Committee for Quality Assurance's Patient-Centered Medical Home program, and meaningful use of electronic health records. Further, we find a statistically significant increase in potential cases based on the last two or more blood pressure readings greater than or equal to 140/90 mm Hg (mean = 1,353.9, 95% CI 1,329.9-1,377.9).
@article{baus_identifying_2012,
title = {Identifying patients with hypertension: a case for auditing electronic health record data},
volume = {9},
issn = {1559-4122},
shorttitle = {Identifying patients with hypertension},
abstract = {Problems in the structure, consistency, and completeness of electronic health record data are barriers to outcomes research, quality improvement, and practice redesign. This nonexperimental retrospective study examines the utility of importing de-identified electronic health record data into an external system to identify patients with and at risk for essential hypertension. We find a statistically significant increase in cases based on combined use of diagnostic and free-text coding (mean = 1,256.1, 95\% CI 1,232.3-1,279.7) compared to diagnostic coding alone (mean = 1,174.5, 95\% CI 1,150.5-1,198.3). While it is not surprising that significantly more patients are identified when broadening search criteria, the implications are critical for quality of care, the movement toward the National Committee for Quality Assurance's Patient-Centered Medical Home program, and meaningful use of electronic health records. Further, we find a statistically significant increase in potential cases based on the last two or more blood pressure readings greater than or equal to 140/90 mm Hg (mean = 1,353.9, 95\% CI 1,329.9-1,377.9).},
language = {eng},
journal = {Perspectives in health information management / AHIMA, American Health Information Management Association},
author = {Baus, Adam and Hendryx, Michael and Pollard, Cecil},
year = {2012},
pmid = {22737097},
pmcid = {PMC3329209},
keywords = {Clinical Coding, Electronic Health Records, Humans, Hypertension, Medical Audit, Primary Health Care, Quality of Health Care, Retrospective Studies, West Virginia},
pages = {1e}
}
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