SwePub
Sök i SwePub databas

  Utökad sökning

Träfflista för sökning "WFRF:(Nyström Gunnar) ;pers:(Åhlfeldt Hans)"

Sökning: WFRF:(Nyström Gunnar) > Åhlfeldt Hans

  • Resultat 1-4 av 4
Sortera/gruppera träfflistan
   
NumreringReferensOmslagsbildHitta
1.
  •  
2.
  • Chen, Rong, et al. (författare)
  • An archetype-based testing framework
  • 2008
  • Ingår i: eHealth Beyond the Horizon. - Amsterdam, Netherlands : IOS Press. - 9781586038649 ; 136, s. 401-6
  • 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.
  •  
3.
  • Nyström, Mikael, 1977-, et al. (författare)
  • Enriching a primary health care version of ICD-10 using SNOMED CT mapping
  • 2010
  • Ingår i: Journal of Biomedical Semantics. - London, United Kingdom : BioMed Central. - 2041-1480. ; 1:7
  • 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.
  •  
4.
  • Nyström, Mikael, 1977-, et al. (författare)
  • Visualization of disease distribution with SNOMED CT and ICD-10
  • 2010
  • Ingår i: MEDINFO 2010 - Proceedings of the 13th World Congress on Medical Informatics. - Amsterdam : IOS Press. - 9781607505877 ; 160:Pt 2, s. 1100-3
  • 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.
  •  
Skapa referenser, mejla, bekava och länka
  • Resultat 1-4 av 4

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

 
pil uppåt Stäng

Kopiera och spara länken för att återkomma till aktuell vy