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Treffer: Decluttering the problem list in electronic health records.

Title:
Decluttering the problem list in electronic health records.
Authors:
Brown AR; HealthIT, Vanderbilt University Medical Center, Nashville, TN, USA., McCoy AB; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA., Wright A; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA., Nelson SD; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA.
Source:
American journal of health-system pharmacy : AJHP : official journal of the American Society of Health-System Pharmacists [Am J Health Syst Pharm] 2022 Feb 18; Vol. 79 (Suppl 1), pp. S8-S12.
Publication Type:
Journal Article
Language:
English
Journal Info:
Publisher: Oxford University Press Country of Publication: England NLM ID: 9503023 Publication Model: Print Cited Medium: Internet ISSN: 1535-2900 (Electronic) Linking ISSN: 10792082 NLM ISO Abbreviation: Am J Health Syst Pharm Subsets: MEDLINE
Imprint Name(s):
Publication: <2019-> : [Oxford] : Oxford University Press
Original Publication: Bethesda, MD : The Society, c1995-
Contributed Indexing:
Keywords: information systems; medical record systems; problem list; problem-oriented medical records
Entry Date(s):
Date Created: 20211001 Date Completed: 20220228 Latest Revision: 20220228
Update Code:
20250114
DOI:
10.1093/ajhp/zxab381
PMID:
34597358
Database:
MEDLINE

Weitere Informationen

Purpose: The purpose of this study was to evaluate the current state of problem list maintenance at an academic medical center.
Summary: We included problem list data for patients who had at least 2 face-to-face encounters at Vanderbilt University Medical Center or its clinics between January 1, 2018, and December 31, 2019. We used the frequency of problem list additions, resolutions, deletions, duplicate problems (exact and SNOMED CT duplicates), inconsistencies (contradicting stages of disease state), and items that could be documented elsewhere in the electronic health record as surrogate markers of problem list maintenance. Descriptive statistics were used to summarize the results. A total of 546,510 patients met inclusion criteria. There were 3,762 (0.7%) patients who had the exact same active problem listed more than once. SNOMED CT code duplications occurred in the records for 56,399 (10.5%) patients. Of the patients with asthma, 2.5% (223/8,779) had contradicting asthma stages active on their problem list, and 6.4% (950/14,950) of patients with chronic kidney disease (CKD) had contradicting CKD stages. In addition, 17,205 (3.1%) patients had 20,365 active family history problems and 39,464 (7.2%) patients had an allergy documented on their problem list. On average, there were 43.7 (95% confidence interval [CI], 14-73.4) additions, 8.7 (95% CI, 0.1-17.4) resolutions, and 2.1 (95% CI, 0-4.6) deletions of problems per 100 face-to-face encounters, inpatient or outpatient.
Conclusion: Our study suggests areas for improvement for problem list maintenance. Further studies into semantic duplication and clinical decision support tools to encourage problem list maintenance and deduplication are needed.
(© American Society of Health-System Pharmacists 2021. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)