Abstract
Knowledge Management is decisive for clinical decision-making and for delivering better outcomes for patients care. The importance of medical knowledge has been emphasized in the researches to support evidence-based medicine. Currently, cancer is responsible for over 130,000 deaths every year in Brazil. Extensive waiting queues for diagnosis and treatments have become routine. One of the critical success factors in a cancer treatment is the early diagnosis. The reduction of waiting time to start cancer treatment is one of the main issues for improvement of patient’s quality of life and possibilities of cure. This study presents a knowledge-based simulation framework developed at the Brazilian National Cancer Institute (INCA) to reduce patients’ waiting time to start cancer treatment.
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Gonçalves, A.A., Freire de Castro Silva, S.L., Martins, C.H.F., Cheng, C., Barbosa, J.G.P. (2019). A Knowledge-Based Simulation Framework for Decision Support in Brazilian National Cancer Institute. In: Koch, F., et al. Artificial Intelligence in Health. AIH 2018. Lecture Notes in Computer Science(), vol 11326. Springer, Cham. https://doi.org/10.1007/978-3-030-12738-1_9
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DOI: https://doi.org/10.1007/978-3-030-12738-1_9
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