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Machine Learning: Multi-site Evidence-Based Best Practice Discovery Read chapter Read first chapter

2016 | OriginalPaper | Chapter

Big Data Analytics in a Public General Hospital

Authors : Ricardo S. Santos, Tiago A. Vaz, Rodrigo P. Santos, José M. Parente de Oliveira

Published in: Machine Learning, Optimization, and Big Data

Publisher: Springer International Publishing

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Abstract

Obtaining information and knowledge from big data has become a common practice today, especially in health care. However, a number of challenges make the use of analytics in health care data difficult. The aim of this paper is to present the big data analytics framework defined and implemented at an important Brazilian public hospital, which decided to use this technology to provide insights that will help improve clinical practices. The framework was validated by a use case in which the goal is to discover the behavior patterns of nosocomial infections in the institution. The architecture was defined, evaluated, and implemented. The overall result was very positive, with a relatively simple process for use that was able to produce interesting analytical results.

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Literature
1.
White, S.E.: A review of big data in health care: challenges and opportunities. Open Access Bioinf. 6, 13–18 (2014)CrossRef
2.
Raghupathi, W., Raghupathi, V.: Big data analytics in healthcare: promise and potential. Health Inf. Sci. Syst. 2(3), 1–10 (2014)
3.
Dao, T.K., Zabaneh, F., Holmes, J., Disrude, L., Price, M., Gentry, L.: A practical data mining method to link hospital microbiology and an infection control database. Am. J. Infect. Control. 36(3), S18–S20 (2008)CrossRef
4.
Murdoch, T.B., Detsky, A.S.: The inevitable application of big data to health care. J. Am. Med. Assoc. 309(13), 1351–1352 (2013)CrossRef
5.
Dhar, V.: Big data and predictive analytics in health care. Big Data 2(3), 113–116 (2014)CrossRef
6.
Kamal, N., Wiebe, S., Engbers, J.D., Hill, M.D.: Big data and visual analytics in health and medicine: from pipe dream to reality. J. Health Med. Inf. 5(5), 1–2 (2014)
7.
Peek, N., Holmes, J.H., Sun, J.: Technical challenges for big data in biomedicine and health: data sources, infrastructure, and analytics. IMIA Yearb. Med. Inf. 9(1), 42–47 (2014)CrossRef
8.
Rumsfeld, J.S., Joynt, K.E., Maddox, T.M.: Big data analytics to improve cardiovascular care: promise and challenges. Nat. Rev. Cardiol. 13, 350–359 (2014)CrossRef
9.
Ellaway, R.H., Pusic, M.V., Galbraith, R.M., Cameron, T.: Developing the role of big data and analytics in health professional education. Med. Teach. 36, 216–222 (2014)CrossRef
10.
Khan, H.A., Ahmad, A., Mehboob, R.: Nosocomial infections and their control strategies. Asian Pac. J. Trop. Biomed. 5(7), 509–514 (2015)CrossRef
11.
Breathnach, A.S.: Nosocomial infections and infection control. Medicine 41(11), 649–653 (2013)CrossRef
12.
Minelli, M., Chambers, M., Dhiraj, A.: Big data analytics: emerging business intelligence and analytic trends for today’s business. Wiley, Hoboken (2013)CrossRef
13.
14.
Aasman, J.: Why data lakes require semantics. Information Management Online, 11 June 2015
15.
GoPivotal: Greenplum Database: Getting Started, Version 4.2, Rev. A01. Product Documentation (2014)
16.
GoPivotal: Pivotal Hadoop: Getting Started, Version 3.0. Product Documentation (2016)
17.
Kuiler, E.W.: From big data to knowledge: an ontological approach to big data analytics. Rev. Policy Res. 31(4), 311–318 (2014)CrossRef
18.
Kim, J., Wang, G., Bae, S.T.: A survey of big data technologies and how semantic computing can help. Int. J. Seman. Comput. 8(1), 99–117 (2014)CrossRef
19.
Berman, J.: Principles of Big Data. Morgan Kaufmann, Waltham (2013)
20.
Gruber, T.R.: Toward principles for the design of ontologies used for knowledge sharing. Int. J. Hum Comput Stud. 43, 907–928 (1995)CrossRef
21.
Metadata
Title
Big Data Analytics in a Public General Hospital
Authors
Ricardo S. Santos
Tiago A. Vaz
Rodrigo P. Santos
José M. Parente de Oliveira
Copyright Year
2016
Book
Machine Learning, Optimization, and Big Data

Print ISBN: 978-3-319-51468-0

Electronic ISBN: 978-3-319-51469-7

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-3-319-51469-7_38

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