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| 2. |
- Chen, Rong, et al.
(författare)
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An archetype-based testing framework
- 2008
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Ingår i: eHealth Beyond the Horizon. - Amsterdam, Netherlands : IOS Press. - 9781586038649 ; 136, s. 401-6
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Konferensbidrag (refereegranskat)abstract
- With the introduction of EHR two-level modelling and archetype methodologies pioneered by openEHR and standardized by CEN/ISO, we are one step closer to semantic interoperability and future-proof adaptive healthcare information systems. Along with the opportunities, there are also challenges. Archetypes provide the full semantics of EHR data explicitly to surrounding systems in a platform-independent way, yet it is up to the receiving system to interpret the semantics and process the data accordingly. In this paper we propose a design of an archetype-based platform-independent testing framework for validating implementations of the openEHR archetype formalism as a means of improving quality and interoperability of EHRs.
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| 3. |
- Hägglund, Maria, Lektor, 1975-, et al.
(författare)
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Världsbäst på eHälsa kräver internationellt samarbete
- 2017
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Ingår i: Svenska dagbladet. - Stockholm, Sweden : Svenska Dagbladet AB & Co.. - 1101-2412.
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Tidskriftsartikel (populärvet., debatt m.m.)abstract
- Det är glädjande att myndigheter nu äntligen tittar mer på internationellt delade detaljerade dokumentationsmodeller för innehåll i journaler. Vi hoppas att de ger tillräckligt kraftfulla och tydliga budskap så att de upphandlande vårdgivarna också ser vikten av detta. Om vi ska bli världsbäst på eHälsa krävs internationellt samarbete, skriver flera forskare i medicinsk informatik.
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| 5. |
- Nyström, Mikael, 1977-, et al.
(författare)
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Enriching a primary health care version of ICD-10 using SNOMED CT mapping
- 2010
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Ingår i: Journal of Biomedical Semantics. - London, United Kingdom : BioMed Central. - 2041-1480. ; 1:7
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Tidskriftsartikel (refereegranskat)abstract
- Background: In order to satisfy different needs, medical terminology systems musthave richer structures. This study examines whether a Swedish primary health careversion of the mono-hierarchical ICD-10 (KSH97-P) may obtain a richer structureusing category and chapter mappings from KSH97-P to SNOMED CT and SNOMEDCT’s structure. Manually-built mappings from KSH97-P’s categories and chapters toSNOMED CT’s concepts are used as a starting pointResults: The mappings are manually evaluated using computer-producedinformation and a small number of mappings are updated. A new and polyhierarchicalchapter division of KSH97-P’s categories has been created using thecategory and chapter mappings and SNOMED CT’s generic structure. In the newchapter division, most categories are included in their original chapters. Aconsiderable number of concepts are included in other chapters than their originalchapters. Most of these inclusions can be explained by ICD-10’s design. KSH97-P’scategories are also extended with attributes using the category mappings andSNOMED CT’s defining attribute relationships. About three-fourths of all conceptsreceive an attribute of type Finding site and about half of all concepts receive anattribute of type Associated morphology. Other types of attributes are less common.Conclusions: It is possible to use mappings from KSH97-P to SNOMED CT andSNOMED CT’s structure to enrich KSH97-P’s mono-hierarchical structure with a polyhierarchicalchapter division and attributes of type Finding site and Associatedmorphology. The final mappings are available as additional files for this paper.
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| 6. |
- Nyström, Mikael, 1977-, et al.
(författare)
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Visualization of disease distribution with SNOMED CT and ICD-10
- 2010
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Ingår i: MEDINFO 2010 - Proceedings of the 13th World Congress on Medical Informatics. - Amsterdam : IOS Press. - 9781607505877 ; 160:Pt 2, s. 1100-3
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Konferensbidrag (refereegranskat)abstract
- Methods for presentation of disease and health problem distribution in a health care environment rely among other things on the inherent structure of the controlled terminology used for coding. In the present study, this aspect is explored with a focus on ICD-10 and SNOMED CT. The distribution of 2,5 million diagnostic codes from primary health care in the Stockholm region is presented and analyzed through the “lenses” of ICD-10 and SNOMED CT. The patient encounters, originally coded with a reduced set of ICD-10 codes used in primary health care in Sweden, were mapped to SNOMED CT concepts through a mapping table. The method used for utilizing the richer structure of SNOMED CT as compared to ICD-10 is presented, together with examples of produced disease distributions. Implications of the proposed method for enriching a traditional classification such as ICD-10 through mappings to SNOMED CT are discussed.
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| 7. |
- Vikström, Anna, et al.
(författare)
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Coding of procedures documented by general practitioners in Swedish primary care - an explorative study using two procedure coding systems.
- 2012
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Ingår i: BMC family practice. - : Springer Science and Business Media LLC. - 1471-2296. ; 13:1
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Tidskriftsartikel (refereegranskat)abstract
- ABSTRACT: BACKGROUND: Procedures documented by general practitioners in primary care have not been studied in relation to procedure coding systems. We aimed to describe procedures documented by Swedish general practitioners in electronic patient records and to compare them to the Swedish Classification of Health Interventions (KVA) and SNOMED CT. METHODS: Procedures in 200 record entries were identified, coded, assessed in relation to two procedure coding systems and analysed. RESULTS: 417 procedures found in the 200 electronic patient record entries were coded with 36 different Classification of Health Interventions categories and 148 different SNOMED CT concepts. 22.8% of the procedures could not be coded with any Classification of Health Interventions category and 4.3% could not be coded with any SNOMED CT concept. 206 procedure-concept/category pairs were assessed as a complete match in SNOMED CT compared to 10 in the Classification of Health Interventions. CONCLUSIONS: Procedures documented by general practitioners were present in nearly all electronic patient record entries. Almost all procedures could be coded using SNOMED-CT. Classification of Health Interventions covered the procedures to a lesser extent and with a much lower degree of concordance. SNOMED CT is a more flexible terminology system that can be used for different purposes for procedure coding in primary care.
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