Towards implementing SNOMED CT in nursing practice: A scoping review.

Autor: Kim J; Adult and Gerontological Health Cooperative Unit, School of Nursing, University of Minnesota, 308 Harvard Street SE, Minneapolis, MN 55455, United States., Macieira TGR; Department of Family, Community and Health System Science, College of Nursing, University of Florida, PO Box 100197, Gainesville, FL 32610, United States., Meyer SL; Health Science Center Libraries, University of Florida, Communicore Building, SW Archer Rd, Gainesville, FL 32610, United States., Ansell Maggie M; Health Science Center Libraries, University of Florida, Communicore Building, SW Archer Rd, Gainesville, FL 32610, United States., Bjarnadottir Raga RI; Department of Family, Community and Health System Science, College of Nursing, University of Florida, PO Box 100197, Gainesville, FL 32610, United States., Smith MB; College of Nursing, University of Florida, PO Box 100197, Gainesville, FL 32610, United States., Citty SW; Department of Family, Community and Health System Science, College of Nursing, University of Florida, PO Box 100197, Gainesville, FL 32610, United States., Schentrup DM; Department of Family, Community and Health System Science, College of Nursing, University of Florida, PO Box 100197, Gainesville, FL 32610, United States., Nealis RM; Department of Family, Community and Health System Science, College of Nursing, University of Florida, PO Box 100197, Gainesville, FL 32610, United States., Keenan GM; Department of Family, Community and Health System Science, College of Nursing, University of Florida, PO Box 100197, Gainesville, FL 32610, United States. Electronic address: gkeenan@ufl.edu.
Jazyk: angličtina
Zdroj: International journal of medical informatics [Int J Med Inform] 2020 Feb; Vol. 134, pp. 104035. Date of Electronic Publication: 2019 Nov 27.
DOI: 10.1016/j.ijmedinf.2019.104035
Abstrakt: Background: Currently, it is rare for nursing data to be available in data repositories due to the quality of nursing data collected in clinical practice. To improve the quality of nursing data, the American Nurses Association recommends the use of Systematized Nomenclature of Medicine Clinical Terms (SNOMED CT) for coding nursing problems, interventions, and observations in electronic health records.
Objective: To determine "what is known about the use of SNOMED terminology (Pre-SNOMED CT and SNOMED CT) in nursing".
Methods: We searched four databases and two search engines. We identified 29 articles for review. A modified version of System Development Life Cycle (SDLC), and Mapping Evaluation Assessment (MEA), created by the authors were used for quality assessment.
Results: All 29 studies mapped standardized (n = 19) or local nursing terms (n = 10) to the SNOMED terminology. MEA scores ranged from 2-8 (range 0-11) with 25 receiving scores from 5-8. On the modified SDLC (range 0-5), all studies exhibited activities of stage 0 (pre-application integration), with two studies describing integration and preliminary testing of SNOMED CT coded nursing content in applications (stage 2).
Conclusion: Though efforts are underway to ensure adequate coverage of nursing in SNOMED CT, there were no studies indicating use in nursing practice. The authors offer recommendations for achieving the widespread collection of interoperable SNOMED CT coded nursing data in clinical applications to evaluate nursing's impact on patient outcomes. These include creating a clear professional vision and path to our data goals that builds on sound rationale and evidence, abundant stakeholder engagement, and sufficient resources.
(Copyright © 2019 The Authors. Published by Elsevier B.V. All rights reserved.)
Databáze: MEDLINE
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