Research Article
Waiting Time Screening in Healthcare
@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
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.