Big Data Technologies and Applications. 8th International Conference, BDTA 2017, Gwangju, South Korea, November 23–24, 2017, Proceedings

Research Article

Waiting Time Screening in Healthcare

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  • @INPROCEEDINGS{10.1007/978-3-319-98752-1_14,
        author={Jos\^{e} Neves and Henrique Vicente and Marisa Esteves and Filipa Ferraz and Ant\^{o}nio Abelha and Jos\^{e} Machado and Joana Machado and Jo\"{a}o Neves},
        title={Waiting Time Screening in Healthcare},
        proceedings={Big Data Technologies and Applications. 8th International Conference, BDTA 2017, Gwangju, South Korea, November 23--24, 2017, Proceedings},
        proceedings_a={BDTA},
        year={2018},
        month={11},
        keywords={Waiting time screening Logic programming Case-based reasoning},
        doi={10.1007/978-3-319-98752-1_14}
    }
    
  • José Neves
    Henrique Vicente
    Marisa Esteves
    Filipa Ferraz
    António Abelha
    José Machado
    Joana Machado
    João Neves
    Year: 2018
    Waiting Time Screening in Healthcare
    BDTA
    Springer
    DOI: 10.1007/978-3-319-98752-1_14
José Neves1,*, Henrique Vicente,*, Marisa Esteves1,*, Filipa Ferraz1,*, António Abelha1,*, José Machado1,*, Joana Machado2,*, João Neves3,*
  • 1: Universidade do Minho
  • 2: Farmácia de Lamaçães
  • 3: Mediclinic Arabian Ranches
*Contact email: jneves@di.uminho.pt, hvicente@uevora.pt, marisa.araujo.esteves@gmail.com, filipatferraz@gmail.com, abelha@di.uminho.pt, jmac@di.uminho.pt, joana.mmachado@gmail.com, joaocpneves@gmail.com

Abstract

In Medical Imaging (MI), various technologies can be used to monitor the human body for diagnosing, monitoring or treating disease. Each type of technology provides different information about the body area that is being investigated or treated for a possible illness, injury or effectiveness of a medical treatment. Routine screening has identified malfunction detection in many otherwise asymptomatic patient images such as computed tomography or magnetic resonance. Studies have shown that, compared to patients whose disease was symptomatic (i.e., self-recognizing), screen-detected diseases may have more favorable clinicopathological features, leading to better prognosis and better outcome. This paper aims to assess the issue of health care wait screening. It deviates from a decision support system that evaluates the waiting times in diagnostic MI based on operational data from various information systems. Last but not least, one’s assumptions may have an important impact in determining the usefulness of routine laboratory testing at admission.