Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Published in:
Eco Models of Distributed Systems Read chapter Read first chapter

2017 | OriginalPaper | Chapter

Privacy-Aware Data Analysis Middleware for Data-Driven EHR Systems

Authors : Thien-An Nguyen, Nhien-An Le-Khac, M-Tahar Kechadi

Published in: Future Data and Security Engineering

Publisher: Springer International Publishing

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

Privacy preservation is an essential requirement for information systems and also it is regulated by law. However, existing solutions for privacy protection during data analysis have some limitations when applied to data-driven electronic health record (EHR) systems such as data distortion and flexibility. This paper presents a novel approach to deal with this issue that is a privacy-aware protocol for healthcare data analysis. This approach uses special secured views. For the compatibility with data-driven EHR systems, the protocol is proposed together with a high-level middleware architecture. The suggested solution is discussed based on system requirements and specification to demonstrate its advantages.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

inform now
previous chapter Development and Implementation of a Web Application for the Management of Data Recorded by a Carbon Monoxide Sensor
next chapter An Exact Consensus-Based Network Intrusion Detection System
Footnotes
1
HL7 Clinical Document Architecture, a standard for exchanging clinical documents.
 
2
Digital Imaging and Communications in Medicine, a standard for storing and transmitting medical images.
 
3
This table is taken from [20] but the other example tables are re-calculated for this paper by our method.
 
Literature
1.
Connected health: The drive to integrated healthcare delivery. Technical report, Accenture (2012)
2.
Sixth annual benchmark study on privacy & security of healthcare data. Technical report, Ponemon Institute, USA (2016)
3.
Agarwal, R., Khuntia, J.: Personal health information management and the design of consumer health information technology. Technical report, Insight Policy Research, Virginia (2009)
4.
Aggarwal, C.C.: On k-anonymity and the curse of dimensionality. In: Proceedings of the 31st International Conference on Very Large Data Bases, pp. 901–909. VLDB Endowment (2005)
5.
Agrawal, R., Johnson, C.: Securing electronic health records without impeding the flow of information. Int. J. Med. Inform. 76(5), 471–479 (2007)CrossRef
6.
Aouad, L.M., Le-Khac, N.A., Kechadi, T.: Grid-based approaches for distributed data mining applications. J. Algorithms Comput. Technol. 3(4), 517–534 (2009)CrossRef
7.
van Banerveld, M., Kechadi, M.-T., Le-Khac, N.-A.: A natural language processing tool for white collar crime investigation. In: Hameurlain, A., Küng, J., Wagner, R., Dang, T.K., Thoai, N. (eds.) Transactions on Large-Scale Data- and Knowledge-Centered Systems XXIII. LNCS, vol. 9480, pp. 1–22. Springer, Heidelberg (2016). doi:10.​1007/​978-3-662-49175-1_​1 CrossRef
8.
Berman, J.J.: Confidentiality issues for medical data miners. Artif. Intell. Med. 26(1–2), 25–36 (2002)CrossRef
9.
Chiang, Y., Hsu, T., Kuo, S., Liau, C., Wang, D.: Preserving confidentiality when sharing medical database with the cellsecu system. Int. J. Med. Inform. 71(1), 17–23 (2003)CrossRef
10.
Dunbrack, L.A.: The integrated patient record: empowering patient-centric care. Technical report, IDC Health Insights (2013)
11.
Elger, B.S., Iavindrasana, J., Lo Iacono, L., Müller, H., Roduit, N., Summers, P., Wright, J.: Strategies for health data exchange for secondary, cross-institutional clinical research. Comput. Methods Programs Biomed. 99(3), 230–251 (2010)CrossRef
12.
Fung, B.C., Wang, K., Fu, A.W., Philip, S.Y.: Introduction to Privacy-preserving Data Publishing: Concepts and Techniques. CRC Press, Boca Raton (2010)CrossRef
13.
Gardner, J., Xiong, L.: An integrated framework for de-identifying heterogeneous data. Data Knowl. Eng. 68(12), 1441–1451 (2009)CrossRef
14.
Han, J., Kamber, M., Pei, J.: Data Mining: Concepts and Techniques. Morgan Kaufmann Publishers, San Francisco (2005)MATH
15.
Heurix, J., Karlinger, M., Neubauer, T.: Perimeter pseudonymization and personal metadata encryption for privacy-preserving searchable documents. Health Syst. 1, 46–57 (2012)CrossRef
16.
Jones, S.S., Caloyeras, J.P., Mattke, S.: The role of consumer-controlled personal health management systems in the evolution of employer-based health care benefits. Technical report, RAND Corporation (2011)
17.
Le-Khac, N.-A., Bue, M., Whelan, M., Kechadi, M.-T.: A Clustering-Based Data Reduction for Very Large Spatio-Temporal Datasets. In: Cao, L., Zhong, J., Feng, Y. (eds.) ADMA 2010. LNCS (LNAI), vol. 6441, pp. 43–54. Springer, Heidelberg (2010). doi:10.​1007/​978-3-642-17313-4_​5 CrossRef
18.
Li, N., Li, T., Venkatasubramanian, S.: t-closeness: privacy beyond k-anonymity and l-diversity. In: 2007 IEEE 23rd International Conference on Data Engineering, pp. 106–115 (2007)
19.
Machanavajjhala, A., Kifer, D., Gehrke, J., Venkitasubramaniam, M.: L-diversity: privacy beyond k-anonymity. ACM Trans. Knowl. Discov. Data 1(1) (2007)
20.
Mohammed, N., Fung, B.C.M., Hung, P.C.K., Lee, C.: Anonymizing healthcare data: a case study on the blood transfusion service. In: Proceedings 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. KDD 2009, USA, pp. 1285–1294 (2009)
21.
Nelson, G.S.: Practical implications of sharing data: a primer on data privacy, anonymization, and de-identification. Technical report, ThotWave Technologies, North Carolina (2015)
22.
Prasser, F., Kohlmayer, F., Lautenschlger, R., Kuhn, K.A.: ARX - a comprehensive tool for anonymizing biomedical data. In: AMIA Annual Symposium Proceedings, p. 984. American Medical Informatics Association (2014)
23.
Skowron, A., Rauszer, C.: The discernibility matrices and functions in information systems. In: Słowiński, R. (ed.) Intelligent Decision Support. Theory and Decision Library. Theory and Decision Library, vol. 11, pp. 331–362. Springer, Dordrecht (1992). doi:10.​1007/​978-94-015-7975-9_​21 CrossRef
24.
Sweeney, L.: Datafly: a system for providing anonymity in medical data. In: Lin, T.Y., Qian, S. (eds.) Database Security XI. IFIP Advances in Information and Communication Technology, pp. 356–381. Springer, Boston (1998). doi:10.​1007/​978-0-387-35285-5_​22 CrossRef
25.
Sweeney, L.: Simple demographics often identify people uniquely. Health 671, 1–34 (2000)
26.
27.
Wang, K., Fung, B.C.M.: Anonymizing sequential releases. In: Proceedings of the 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. KDD 2006, pp. 414–423. ACM (2006)
28.
Xiao, X., Tao, Y.: Anatomy: simple and effective privacy preservation. In: Proceedings of the 32nd International Conference on Very Large Data Bases, pp. 139–150. VLDB Endowment (2006)
Metadata
Title
Privacy-Aware Data Analysis Middleware for Data-Driven EHR Systems
Authors
Thien-An Nguyen
Nhien-An Le-Khac
M-Tahar Kechadi
Copyright Year
2017
Book
Future Data and Security Engineering

Print ISBN: 978-3-319-70003-8

Electronic ISBN: 978-3-319-70004-5

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-3-319-70004-5_24

Premium Partner

    Image Credits