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Graphical Representation of Lipid Panel: A Simplified Time-Series Data Display.
Kato, Danielle; Egu, Nkemdirim; Okele, Immaculata; Raj, Priyank; Gong, Yang.
Afiliação
  • Kato D; School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Texas, USA.
  • Egu N; School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Texas, USA.
  • Okele I; School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Texas, USA.
  • Raj P; School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Texas, USA.
  • Gong Y; School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Texas, USA.
Stud Health Technol Inform ; 304: 117-121, 2023 Jun 22.
Article em En | MEDLINE | ID: mdl-37347583
ABSTRACT
High cholesterol is a risk factor for developing Atherosclerotic Cardiovascular Disease. Poorly designed health data displays cause an undue cognitive burden on clinicians. Simplified line graphs (i.e., sparklines) could support efficient cognitive processing and interpretation of lipid panel results. Clinical concepts for cognitive tasks assessing low-density lipoprotein laboratory results were analyzed according to their internal representations and data scale types. A sparkline external representation aligns more closely with the internal representations for mental tasks associated with identifying abnormalities and assessing trends compared to traditional tabular displays. By simplifying the health data display with sparklines, faster cognitive processing is theoretically supported.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Apresentação de Dados / Processos Mentais Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Stud Health Technol Inform Assunto da revista: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Apresentação de Dados / Processos Mentais Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Stud Health Technol Inform Assunto da revista: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos