Skip to main content

Application of Privacy-Preserving Techniques in Operational Record Linkage Centres

  • Chapter
Medical Data Privacy Handbook

Abstract

Record linkage is the process of bringing together data relating to the same individual within and between different datasets. These integrated datasets provide diverse and rich resources for researchers without the cost associated with additional data collection. By their nature, record linkage systems deal with large volumes of data and require complex organizational and technical infrastructure. Bringing together information from different sources often requires many different organizations to collaborate and share data, which presents challenges around data privacy and confidentiality. Various processes and protocols have been developed to protect the privacy of individuals during the record linkage process. These include data governance procedures covering people, processes and information technology, role separation and restricted data flows. Combinations of these are used to mitigate risks to privacy by limiting access to certain information. In addition, privacy-preserving record linkage techniques can be utilized to further reduce the risk to privacy, by removing all personal identifying information from linkage protocols. This chapter reviews current practices, processes and developments for maintaining security and privacy as applied in existing record linkage centres. Models for role separation and data flows are outlined and evaluated, and requirements for an effective privacy-preserving record linkage protocol are described.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 299.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    However, for certain datasets (e.g., mental health or cancer registries), the existence of an individual’s name within the collection can itself reveal information about that individual.

References

  1. Acheson, E., Evans, J.: The Oxford record linkage study: a review of the method with some preliminary results. Proc. R. Soc. Med. 57(4), 269 (1964)

    Google Scholar 

  2. Bachteler, T., Reiher, J., Schnell, R.: Similarity filtering with multibit trees for record linkage. Technical Report Working Paper WP-GRLC-2013-02, German Record Linkage Center, Nuremberg (2013)

    Google Scholar 

  3. Bass, A., Garfield, C.: Statistical linkage keys: how effective are they? In: Symposium on Health Data Linkage, pp. 40–45, Sydney (2002). Available online at: http://www.publichealth.gov.au/symposium.html

  4. Borst, F., Allaert, F., Quantin, C.: The Swiss solution for anonymously chaining patient files. Stud. Health Technol. Inform. 84(2), 1239–1241 (2001)

    Google Scholar 

  5. Boyd, J., Ferrante, A., O’Keefe, C., Bass, A., Randall, S., Semmens, J.: Data linkage infrastructure for cross-jurisdictional health-related research in Australia. BMC Health Serv. Res. 12(1), 480 (2012)

    Article  Google Scholar 

  6. Boyle, D., Rafael, N.: BioGrid Australia and GRHANITE TM: privacy-protecting subject matching. Stud. Health Technol. Inform. 168, 24–34 (2011)

    Google Scholar 

  7. Brook, E., Rosman, D., Holman, C.: Public good through data linkage: measuring research outputs from the Western Australian data linkage system. Aust. N. Z. J. Public Health 32(1), 19–23 (2008)

    Article  Google Scholar 

  8. Brownell, M., Jutte, D.: Administrative data linkage as a tool for child maltreatment research. Child Abuse Negl. 37(1), 120–124 (2013)

    Article  Google Scholar 

  9. Chamberlayne, R., Green, B., Barer, M., Hertzman, C., Lawrence, W., Sheps, S.: Creating a population-based linked health database: a new resource for health services research. Can. J. Public Health 89(4), 270–3 (1997)

    Google Scholar 

  10. Christen, P.: Data matching. In: Data-Centric Systems and Applications. Springer, Berlin (2012)

    Book  Google Scholar 

  11. Clark, D.: The Scottish medical record linkage system: past, present and future. In: Scottish Health Information Programme Conference. St. Andrews (2009)

    Google Scholar 

  12. Ferrante, A.: Developing an offender-based tracking system: the Western Australia INOIS project. Aust. N. Z. J. Criminol. 26, 232–250 (1993)

    Article  Google Scholar 

  13. Ferrante, A.: The use of data-linkage methods in criminal justice research: a commentary on progress, problems and future possibilities. Curr. Issues Crim. Justice 20(3), 1–15 (2009)

    MathSciNet  Google Scholar 

  14. Ferrante, A., Boyd, J.: A transparent and transportable methodology for evaluating data linkage software. J. Biomed. Inform. 45(1), 165–172 (2012)

    Article  Google Scholar 

  15. Fleming, M., Kirby, B., Penny, K.: Record linkage in Scotland and its applications to health research. J. Clin. Nurs. 21(19–20), 2711–2721 (2012)

    Article  Google Scholar 

  16. Ford, D., Jones, K., Verplancke, J., Lyons, R., John, G., Brown, G., Brooks, C., Thompson, S., Bodger, O., Couch, T., Leake, K.: The SAIL databank: building a national architecture for e-health research and evaluation. BMC Health Serv. Res. 9(1), 157 (2009)

    Article  Google Scholar 

  17. Gill, L., Goldacre, M.: English national record linkage of hospital episode statistics and death registration records. Technical Report, Unit of Health-Care Epidemiology, Oxford University, Oxford (2003)

    Google Scholar 

  18. Gomatam, S., Carter, R., Ariet, M., Mitchell, G.: An empirical comparison of record linkage procedures. Stat. Med. 21(10), 1485–1496 (2002)

    Article  Google Scholar 

  19. Harris, J.: Next generation linkage management system. In: Gray, K., Koronios, A. (eds.) Sixth Australasian Workshop on Health Informations and Knowledge Management, vol. 142, pp. 7–12. Australian Computer Society, Sydney (2013)

    Google Scholar 

  20. Holman, C., Bass, A., Rouse, I., Hobbs, M.: Population-based linkage of health records in Western Australia: development of a health services research linked database. Aust. N. Z. J. Public Health 23(5), 453–459 (1999)

    Article  Google Scholar 

  21. Holman, C., Bass, A., Rosman, D., Smith, M., Semmens, J., Glasson, E., Brook, E., Trutwein, B., Rouse, I., Watson, C., de Klerk, N., Stanley, F.: A decade of data linkage in Western Australia: strategic design, applications and benefits of the WA data linkage system. Aust. Health Rev. 32(4), 766–777 (2008)

    Article  Google Scholar 

  22. Holman, C., Meslin, E., Stanley, F.: Privacy protectionism and health information: is there any redress for harms to health? J. Law Med. 21(2), 473–485 (2013)

    Google Scholar 

  23. Jones, K., Ford, D., Jones, C., Dsilva, R., Thompson, S., Brooks, C., Heaven, M., Thayer, D., McNerney, C., Lyons, R.: A case study of the secure anonymous information linkage (SAIL) gateway: a privacy-protecting remote access system for health-related research and evaluation. J. Biomed. Inform. 50, 196–204 (2014)

    Article  Google Scholar 

  24. Jutte, D., Roos, L., Brownell, M.: Administrative record linkage as a tool for public health research. Annu. Rev. Public Health 32, 91–108 (2011)

    Article  Google Scholar 

  25. Karmel, R.: Linking hospital morbidity and residential aged care data. Examining matching due to chance. Technical Report AIHW Cat. No. AGE 40, Australian Institute of Health and Welfare (2004)

    Google Scholar 

  26. Karmel, R.: Data linkage protocols using a statistical linkage key. Technical Report Data Linkage Series Number 1, Australian Institute of Health and Welfare (2005)

    Google Scholar 

  27. Karmel, R., Anderson, P., Gibson, D., Peut, A., Duckett, S., Wells, Y.: Empirical aspects of record linkage across multiple data sets using statistical linkage keys: the experience of the PIAC cohort study. BMC Health Serv. Res. 10(1), 41 (2010)

    Article  Google Scholar 

  28. Kelman, C., Bass, A., Holman, C.: Research use of linked health data - a best practice protocol. Aust. N. Z. J. Public Health 26(3), 251–255 (2002)

    Article  Google Scholar 

  29. Kendrick, S., Clarke, J.: The Scottish record linkage system. Health Bull. 51(2), 72 (1993)

    Google Scholar 

  30. Laurie, G., Sethi, N.: Towards principles-based approaches to governance of health-related research using personal data. Eur. J. Risk Regul. 4(1), 43 (2013)

    Google Scholar 

  31. Lawrence, G., Dinh, I., Taylor, L.: The Centre for Health Record Linkage: a new resource for health services research and evaluation. Health Inf. Manag. J. 37(2), 60–62 (2008)

    Google Scholar 

  32. Lyons, R., Hutchings, H., Rodgers, S., Hyatt, M., Demmler, J., Gabbe, B., Brooks, C., Brophy, S., Jones, K., Ford, D., Paranjothy, S., Fone, D., Dunstan, F., Evans, A., Kelly, M., Watkins, W., Maddocks, A., Barnes, P., James-Ellison, M., John, G., Lowe, S.: Development and use of a privacy-protecting total population record linkage system to support observational, interventional, and policy relevant research. Lancet 380(Suppl 3), S6 (2012)

    Article  Google Scholar 

  33. Manitoba Centre for Health Policy: Privacy Code (2002). http://umanitoba.ca/faculties/health_sciences/medicine/units/community_health_sciences/departmental_units/mchp/media_room/media/MCHP_privacy_code.pdf (2015). Accessed 04 Sept 2015

  34. Mitchell, R., Cameron, C., Rambach, M.: Data linkage for injury surveillance and research in Australia: perils, pitfalls and potential. Aust. N. Z. J. Public Health 38(3), 275–280 (2014)

    Article  Google Scholar 

  35. Quantin, C., Bouzelat, H., Allaert, F., Benhamiche, A., Faivre, J., Dusserre, L.: How to ensure data security of an epidemiological follow-up: quality assessment of an anonymous record linkage procedure. Int. J. Med. Inform. 49(1), 117–122 (1998)

    Article  Google Scholar 

  36. Randall, S., Ferrante, A., Boyd, J., Bauer, J., Semmens, J.: Privacy-preserving record linkage on large real world datasets. J. Biomed. Inform. 50, 205–212 (2014)

    Article  Google Scholar 

  37. Roos, L., Nicol, J.: A research registry: uses, development, and accuracy. J. Clin. Epidemiol. 52(1), 39–47 (1999)

    Article  Google Scholar 

  38. Roos, L., Brownell, M., Lix, L., Roos, N., Walld, R., MacWilliam, L.: From health research to social research: privacy, methods, approaches. Soc. Sci. Med. 66(1), 117–129 (2008)

    Article  Google Scholar 

  39. Schnell, R., Bachteler, T., Reiher, J.: Privacy-preserving record linkage using Bloom filters. BMC Med. Inform. Decis. Mak. 9(41), 1–11 (2009)

    Google Scholar 

  40. Steorts, R., Ventura, S., Sadinle, M., Fienberg, S.: A comparison of blocking methods for record linkage. In: Domingo-Ferrer, J. (ed.) Privacy in Statistical Databases: UNESCO Chair in Data Privacy. Lecture Notes in Computer Science, vol. 8744, pp. 283–298. Springer, Berlin (2014)

    Google Scholar 

  41. Trutwein, B., Holman, C., Rosman, D.: Health data linkage conserves privacy in a research-rich environment. Ann. Epidemiol. 16(4), 279–280 (2006)

    Article  Google Scholar 

  42. Vatsalan, D., Christen, P., Verykios, V.: A taxonomy of privacy-preserving record linkage techniques. Inf. Syst. 38(6), 946–969 (2013)

    Article  Google Scholar 

  43. Weber, S., Lowe, H., Das, A., Ferris, T.: A simple heuristic for blindfolded record linkage. J. Am. Med. Inform. Assoc. 19(e1), e157–e161 (2012)

    Article  Google Scholar 

  44. Weisbaum, K., Slaughter, P., Collins, P.: A voluntary privacy standard for health services and policy research: legal, ethical and social policy issues in the Canadian context. Health Law Rev. 14(1), 42–46 (2005)

    Google Scholar 

  45. Williams, T., Staa, T.V., Puri, S., Eaton, S.: Recent advances in the utility and use of the General Practice Research Database as an example of a UK Primary Care Data resource. Ther. Adv. Drug Saf. 3(2), 89–99 (2012)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to James H. Boyd .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this chapter

Cite this chapter

Boyd, J.H., Randall, S.M., Ferrante, A.M. (2015). Application of Privacy-Preserving Techniques in Operational Record Linkage Centres. In: Gkoulalas-Divanis, A., Loukides, G. (eds) Medical Data Privacy Handbook. Springer, Cham. https://doi.org/10.1007/978-3-319-23633-9_11

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-23633-9_11

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-23632-2

  • Online ISBN: 978-3-319-23633-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics