Abstract
The number of healthcare organizations that successfully use data science in their clinical and operational decision making processes is increasing substantially. Studies show that there is a big potential regarding the use of analytical tools to support epidemiologic cancer research. The use of data mining to support the assessment of early detection programs is one of the main strategies of Brazil’s cancer control program and motivated the Brazilian National Cancer Institute (INCA) to develop applications to improve decision making processes. This article presents the development of Business intelligence (BI) systems employed on the management, processing and analysis of a large-scale data for cancer prevention and control.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Olszak, C.M., Batko, K.: The use of business intelligence systems in healthcare organizations in Poland. In: Federated Conference on Computer Science and Information Systems, pp. 969–976. IEEE (2012)
Lester, H., Hobbs, F.D.R.: Major policy changes for primary care: potential lessons for the US New Model of family medicine from the quality and outcomes framework in the United Kingdom. Fam. Med. 39(2), 96–102 (2007)
Iqbal, S., Altaf, W., Aslam, M., Mahmood, W., Khan, M.U.: Application of intelligent agents in health-care: review. Artif. Intell. Rev. 46(1), 83–112 (2016)
Glaser, J., Stone, J.: Effective use of business intelligence. Healthc. Financ. Manag. 62(2), 68–72 (2008)
INCA- Instituto Nacional de Câncer. http://www1.inca.gov.br/wcm/incidencia/2017/pdf/incidencia.pdf
Rohloff, R.: Health-care BI: a tool for meaningful analysis. Healthc. Financ. Manag. 65(5), 100–108 (2011)
Krysiak-Baltyn, K., et al.: Compass: a hybrid method for clinical and biobank data mining. J. Biomed. Inform. 47, 160–170 (2014)
Homayounfar, P.: Process mining challenges in hospital information systems. In: Federated Conference on Computer Science and Information Systems (FedCSIS), pp. 1135–1140. IEEE (2012)
Van Der Aalst, W.: Process Mining: Discovery, Conformance and Enhancement of Business Processes. Springer Science & Business Media, Berlin (2011)
Rohloff, R.: Health-care BI: a tool for meaningful analysis. Healthc. Financ. Manag. 65(5), 100–108 (2011)
Hanson, R.: Good health information – an asset not a burden! Aust. Health Rev. 35(1), 9–13 (2011)
Giniat, E.: Using business intelligence for competitive advantage. Healthc. Financ. Manag. 65(9), 142, 144, 146 (2011)
Fickenscher, K.: The new frontier of data mining Health management technology, vol. 26, no. 10, pp. 26–30, October 2005
Delend, D., Walker, G., Kadama, A.: Predicting breast cancer survivability: a comparison of three data mining methods. Artif. Intell. Med. 34(2), 113–127 (2005)
Scholl, I., Zill, J.M., Härter, M., Dirmaier, J.: An integrative model of patient-centeredness: a systematic review and concept analysis. PLoS ONE 9(9), e107828 (2014)
Yin, R.K.: Case Study Research. Design and Methods, 4th edn. Sage Publications, Thousand Oaks (2009)
Zhou, X., Chen, S., Liu, B., Zhan, R., Wang, Y., Li, P., Guo, Y., Zhang, H., Gao, Y.X.: Development of traditional Chinese medicine clinical data warehouse for medical knowledge discovery and decision support. Artif. Intell. Med. 48, 139–152 (2010)
Faria, B.M., Gonçalves, J., Reis, L.P., Rocha, Á.: A clinical support system based on quality of life estimation. J. Med. Syst. 39(10), 114 (2015)
Gonçalves, J.J., Rocha, Á.M.: A decision support system for quality of life in head and neck oncology patients. Head Neck Oncol. 4(1), 3 (2012)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG, part of Springer Nature
About this paper
Cite this paper
Gonçalves, A.A., Cheng, C., Martins, C.H.F., Barbosa, J.G.P., de Castro Silva, S.L.F. (2018). Business Intelligence for Cancer Prevention and Control: A Case Study at the Brazilian National Cancer Institute. In: Rocha, Á., Adeli, H., Reis, L., Costanzo, S. (eds) Trends and Advances in Information Systems and Technologies. WorldCIST'18 2018. Advances in Intelligent Systems and Computing, vol 746. Springer, Cham. https://doi.org/10.1007/978-3-319-77712-2_108
Download citation
DOI: https://doi.org/10.1007/978-3-319-77712-2_108
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-77711-5
Online ISBN: 978-3-319-77712-2
eBook Packages: EngineeringEngineering (R0)