Personalized Guideline-Based Treatment Recommendations Using Natural Language Processing Techniques..."Informatics for Health," Manchester, UK, April 2017
Clinical guidelines and clinical pathways are accepted and proven instruments for quality assurance and process optimization. Today, electronic representation of clinical guidelines exists as unstructured text, but is not wellintegrated with patient-specific information from electronic health record...
| Publicado en: | Studies in Health Technology & Informatics Vol. 235; pp. 271 - 276 |
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| Autores principales: | , |
| Formato: | tables/charts Journal Article |
| Publicado: |
Sage Publications Inc.
2017
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=123563975&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 123563975 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09269630 U1V jtl: Studies in Health Technology & Informatics issn: 09269630 maglogo: N pubinfo: dt: 2017 vid: 235 pid: 344 pub: Sage Publications Inc. place: Thousand Oaks, California artinfo: ui: 123563975 123563975 123563975 10.3233/978-1-61499-753-5-271 123563975 ppf: 271 ppct: 5 formats: tig: atl: Personalized Guideline-Based Treatment Recommendations Using Natural Language Processing Techniques..."Informatics for Health," Manchester, UK, April 2017 aug: au: BECKER, Matthias BÖCKMANN, Britta affil: Department of Medical Informatics, University of Applied Sciences and Arts, Dortmund, Germany sug: subj: Practice Guidelines Critical Path Individualized Medicine Natural Language Processing United Kingdom Congresses and Conferences United Kingdom Snomed Unified Medical Language System ab: Clinical guidelines and clinical pathways are accepted and proven instruments for quality assurance and process optimization. Today, electronic representation of clinical guidelines exists as unstructured text, but is not wellintegrated with patient-specific information from electronic health records. Consequently, generic content of the clinical guidelines is accessible, but it is not possible to visualize the position of the patient on the clinical pathway, decision support cannot be provided by personalized guidelines for the next treatment step. The Systematized Nomenclature of Medicine - Clinical Terms (SNOMED CT) provides common reference terminology as well as the semantic link for combining the pathways and the patient-specific information. This paper proposes a modelbased approach to support the development of guideline-compliant pathways combined with patient-specific structured and unstructured information using SNOMED CT. To identify SNOMED CT concepts, a software was developed to extract SNOMED CT codes out of structured and unstructured German data to map these with clinical pathways annotated in accordance with the systematized nomenclature. pubtype: Academic Journal doctype: tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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