Waiting Time Screening in Healthcare

  • José NevesEmail author
  • Henrique Vicente
  • Marisa Esteves
  • Filipa Ferraz
  • António Abelha
  • José Machado
  • Joana Machado
  • João Neves
Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 248)


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.


Waiting time screening Logic programming Case-based reasoning 



This work has been supported by COMPETE: POCI-01-0145-FEDER-007043 and FCT – Fundação para a Ciência e Tecnologia within the Project Scope: UID/CEC/00319/2013.


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Copyright information

© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2018

Authors and Affiliations

  1. 1.Centro AlgoritmiUniversidade do MinhoBragaPortugal
  2. 2.Departamento de Química, Escola de Ciências e Tecnologia, Centro de Química de ÉvoraUniversidade de ÉvoraÉvoraPortugal
  3. 3.Departamento de InformáticaUniversidade do MinhoBragaPortugal
  4. 4.Farmácia de LamaçãesBragaPortugal
  5. 5.Mediclinic Arabian RanchesDubaiUnited Arab Emirates

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