Mapping the Dutch SNOMED CT subset to Omaha System, NANDA International and International Classification of Functioning, Disability and Health.

Autor: Kieft RAMM; Dutch Nurses' Association, PO Box 8212, 3503 RE Utrecht, Netherlands. Electronic address: r.kieft@venvn.nl., Vreeke EM; Nursing Healthcare Innovation Technology Platform of the Dutch Nurses' Association, PO Box 8212, 3503 RE Utrecht, Netherlands. Electronic address: info@ernavreeke.nl., de Groot EM; Nictiz, Dutch National Release Centre for SNOMED CT, PO Box 19121, 2500 CC The Hague, Netherlands. Electronic address: groot@nictiz.nl., de Graaf-Waar HI; Dutch Association for Nursing Diagnosis, Interventions and Outcomes, Amsterdam, Netherlands. Electronic address: helendegraaf@stichtingvdir.nl., van Gool CH; WHO Collaborating Centre for the Family of International Classifications in the Netherlands, National Institute for Public Health and the Environment, PO Box 1, 3720 BA, Bilthoven, Netherlands. Electronic address: coen.van.gool@rivm.nl., Koster N; Terminology Management of the Omaha System (NL version), University of Twente, Netherlands. Electronic address: n.m.koster@utwente.nl., Ten Napel H; WHO Collaborating Centre for the Family of International Classifications in the Netherlands, National Institute for Public Health and the Environment, PO Box 1, 3720 BA, Bilthoven, Netherlands. Electronic address: huib.ten.napel@rivm.nl., Francke AL; Netherlands Institute for Health Services Research (NIVEL), PO Box 1568, 3500 BN Utrecht, Netherlands; EMGO+/VU Medical Center, Department of Public and Occupational Health, Van der Boechorststraat 7, 1081 BT Amsterdam, Netherlands. Electronic address: a.francke@nivel.nl., Delnoij DMJ; Transparency in Healthcare from the Patient's Perspective, Tranzo, Tilburg University, PO Box 90153, 5000 LE Tilburg, Netherlands; National Health Care Institute, PO Box 320, 1110 AH Diemen, Netherlands. Electronic address: d.delnoij@uvt.nl.
Jazyk: angličtina
Zdroj: International journal of medical informatics [Int J Med Inform] 2018 Mar; Vol. 111, pp. 77-82. Date of Electronic Publication: 2017 Dec 28.
DOI: 10.1016/j.ijmedinf.2017.12.025
Abstrakt: Background: Nurses register data in electronic health records, which can use various terminology and coding systems. The net result is that information cannot be exchanged and reused properly, for example when a patient is transferred from one care setting to another. A nursing subset of patient problems was therefore developed in the Netherlands, based on comparable and exchangeable terms that are used throughout the healthcare sector and elsewhere (semantic interoperability). The purpose of the current research is to develop a mapping between the subset of patient problems and three classifications in order to improve the exchangeability of data. Those classifications are the Omaha System, NANDA International, and ICF (the International Classification of Functioning, Disability and Health).
Method: Descriptive research using a unidirectional mapping strategy.
Results: Some 30%-39% of the 119 SNOMED CT patient problems can be mapped one-to-one from the subset onto each separate classification. Between 6% and 8% have been mapped partially to a related term. This is considered to be a one-to-one mapping, although the meanings do not correspond fully. Additionally, 23%-51% of the patient problems could be mapped n-to-one, i.e. more specifically than the classification. Some loss of information will always occur in such exchanges. Between 1% and 4% of the patient problems from the subset are defined less specifically than the problems within the individual classifications. Finally, it turns out that 9%-32% of the terms from the subset of patient problems could not be mapped onto a classification, either because they did not occur in the classification or because they could not be mapped at a higher level.
Conclusion: To promote the exchange of data, the subset of patient problems has been mapped onto three classifications. Loss of information occurs in most cases when the patient problems are transformed from the subset into a classification. This arises because the classifications are different in structure and in the degree of detail. Structural cooperation between suppliers, healthcare organisations and the experts involved is required in order to determine how the mapping should be used within the electronic health records, and whether it is usable in day-to-day practice.
(Copyright © 2017 Elsevier B.V. All rights reserved.)
Databáze: MEDLINE
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