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Encryption and the loss of patient data

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  • Amalia R. Miller
  • Catherine E. Tucker

Abstract

Fast‐paced IT advances have made it increasingly possible and useful for firms to collect data on their customers on an unprecedented scale. One downside of this is that firms can experience negative publicity and financial damage if their data are breached. This is particularly the case in the medical sector, where we find empirical evidence that increased digitization of patient data is associated with more data breaches. The encryption of customer data is often presented as a potential solution, because encryption acts as a disincentive for potential malicious hackers, and can minimize the risk of breached data being put to malicious use. However, encryption both requires careful data management policies to be successful and does not ward off the insider threat. Indeed, we find no empirical evidence of a decrease in publicized instances of data loss associated with the use of encryption. Instead, there are actually increases in the cases of publicized data loss due to internal fraud or loss of computer equipment. © 2011 by the Association for Public Policy Analysis and Management.

Suggested Citation

  • Amalia R. Miller & Catherine E. Tucker, 2011. "Encryption and the loss of patient data," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 30(3), pages 534-556, June.
  • Handle: RePEc:wly:jpamgt:v:30:y:2011:i:3:p:534-556
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    Citations

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    Cited by:

    1. Avi Goldfarb & Catherine Tucker, 2012. "Privacy and Innovation," Innovation Policy and the Economy, University of Chicago Press, vol. 12(1), pages 65-90.
    2. Hui, Kai-Lung & Zhou, Jiali, 2020. "The Economics of Hacking," MPRA Paper 102706, University Library of Munich, Germany.
    3. Yi Qian & Hui Xie, 2013. "Drive More Effective Data-Based Innovations: Enhancing the Utility of Secure Databases," NBER Working Papers 19586, National Bureau of Economic Research, Inc.
    4. Lefouili, Yassine & Toh, Ying Lei & Madio, Leonardo, 2017. "Privacy Regulation and Quality-Enhancing Innovation," TSE Working Papers 17-795, Toulouse School of Economics (TSE), revised Jul 2023.
    5. Alessandro Acquisti & Curtis Taylor & Liad Wagman, 2016. "The Economics of Privacy," Journal of Economic Literature, American Economic Association, vol. 54(2), pages 442-492, June.
    6. Miller, Amalia R. & Tucker, Catherine, 2014. "Health information exchange, system size and information silos," Journal of Health Economics, Elsevier, vol. 33(C), pages 28-42.
    7. Amalia R. Miller & Catherine Tucker, 2013. "Active Social Media Management: The Case of Health Care," Information Systems Research, INFORMS, vol. 24(1), pages 52-70, March.
    8. Garrett A. Johnson, 2022. "Economic Research on Privacy Regulation: Lessons from the GDPR and Beyond," NBER Chapters, in: The Economics of Privacy, National Bureau of Economic Research, Inc.
    9. Jin, Ginger Zhe & Wagman, Liad, 2021. "Big data at the crossroads of antitrust and consumer protection," Information Economics and Policy, Elsevier, vol. 54(C).
    10. Hossain, Md Afnan & Akter, Shahriar & Yanamandram, Venkata, 2020. "Revisiting customer analytics capability for data-driven retailing," Journal of Retailing and Consumer Services, Elsevier, vol. 56(C).
    11. Seung Hyun Kim & Juhee Kwon, 2019. "How Do EHRs and a Meaningful Use Initiative Affect Breaches of Patient Information?," Information Systems Research, INFORMS, vol. 30(4), pages 1184-1202, December.
    12. Yi Qian & Hui Xie, 2015. "Drive More Effective Data-Based Innovations: Enhancing the Utility of Secure Databases," Management Science, INFORMS, vol. 61(3), pages 520-541, March.

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