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Health Cards to Assist Decision Making in Consumer Health Search.
Zuccon, Guido; Demartini, Gianluca; Koopman, Bevan.
Afiliação
  • Jimmy; University of Queensland, Brisbane, Australia.
  • Zuccon G; University of Surabaya, Surabaya, Indonesia.
  • Demartini G; University of Queensland, Brisbane, Australia.
  • Koopman B; University of Queensland, Brisbane, Australia.
AMIA Annu Symp Proc ; 2019: 1091-1100, 2019.
Article em En | MEDLINE | ID: mdl-32308906
We investigate the effectiveness of health cards to assist decision making in Consumer Health Search (CHS). A health card is a concise presentation of a health concept shown along side search results to specific queries. We specifically focus on the decision making tasks of determining the health condition presented by a person and determining which action should be taken next with respect to the health condition. We explore two avenues for presenting health cards: a traditional single health card interface, and a novel multiple health cards interface. To validate the utility of health cards and their presentation interfaces, we conduct a laboratory user study where users are asked to solve the two decision making tasks for eight simulated scenarios. Our study makes the following contributions: (1) it proposes the novel multiple health card interface, which allows users to perform differential diagnoses, (2) it quantifies the impact of using health cards for assisting decision making in CHS, and (3) it determines the health card appraisal accuracy in the context of multiple health cards.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Gráficos por Computador / Tomada de Decisões / Informação de Saúde ao Consumidor Limite: Adult / Female / Humans / Male / Middle aged Idioma: En Revista: AMIA Annu Symp Proc Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Austrália

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Gráficos por Computador / Tomada de Decisões / Informação de Saúde ao Consumidor Limite: Adult / Female / Humans / Male / Middle aged Idioma: En Revista: AMIA Annu Symp Proc Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Austrália