The Use of Automated SNOMED CT Clinical Coding in Clinical Decision Support Systems for Preventive Care.

Objective: The objective of this study is to discuss and analyze the use of automated SNOMED CT clinical coding in clinical decision support systems (CDSSs) for preventive care. The central question that this study seeks to answer is whether the utilization of SNOMED CT in CDSSs can improve preventi...

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Publicado en:Perspectives in Health Information Management pp. 1 - 9
Autor principal: Al-Hablani, Bader
Formato: research tables/charts Journal Article
Publicado: American Health Information Management Association Winter2017
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Winter2017
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      pub: American Health Information Management Association
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        atl: The Use of Automated SNOMED CT Clinical Coding in Clinical Decision Support Systems for Preventive Care.
      aug:
        au: Al-Hablani, Bader
        affil: Research associate at King Faisal Specialist Hospital and Research Centre in Riyadh, Saudi Arabia
      sug:
        subj:
          Snomed Utilization
          Coding, Computer-Assisted
          Decision Support Systems, Clinical
          Preventive Health Care
          Treatment Errors
          Diagnostic Errors
          Decision Support Techniques
          Exploratory Research
          Retrospective Design
          Sensitivity and Specificity
          Literature Review
          Predictive Value of Tests
          Human
      ab: Objective: The objective of this study is to discuss and analyze the use of automated SNOMED CT clinical coding in clinical decision support systems (CDSSs) for preventive care. The central question that this study seeks to answer is whether the utilization of SNOMED CT in CDSSs can improve preventive care. Methods: PubMed, Google Scholar, and Cochrane Library were searched for articles published in English between 2001 and 2012 on SNOMED CT, CDSS, and preventive care. Outcome Measures: Outcome measures were the sensitivity or specificity of SNOMED CT coded data and the positive predictive value or negative predictive value of SNOMED CT coded data. Additionally, we documented the publication year, research question, study design, results, and conclusions of these studies. Results: The reviewed studies suggested that SNOMED CT successfully represents clinical terms and negated clinical terms. Conclusions: The use of SNOMED CT in CDSS can be considered to provide an answer to the problem of medical errors as well as for preventive care in general. Enhancement of the modifiers and synonyms found in SNOMED CT will be necessary to improve the expected outcome of the integration of SNOMED CT with CDSS. Moreover, the application of the tree-augmented naïve (TAN) Bayesian network method can be considered the best technique to search SNOMED CT data and, consequently, to help improve preventive health services.
      pubtype: Academic Journal
      doctype:
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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