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Electronic Health Record Breaches as Social Indicators

Author

Listed:
  • Waldemar W. Koczkodaj

    (Laurentian University)

  • Mirosław Mazurek

    (Rzeszów University of Technology)

  • Dominik Strzałka

    (Rzeszów University of Technology)

  • Alicja Wolny-Dominiak

    (University of Economics in Katowice)

  • Marc Woodbury-Smith

    (Newcastle University)

Abstract

This study presents compelling social indicators of such magnitude that they cannot be ignored. The statistical evidence shows that data breaches of electronic health records have taken place at an unprecedented scale. Currently, the number of individuals affected, as regulations of Health Insurance Portability and Accountability Act refers to us, has surpassed the half of the US population (some data is breached several times lowering the number of victims but increasing the possibility of being sold quickly). The data breaches are recorded and posted by Department of Health and Human Services.

Suggested Citation

  • Waldemar W. Koczkodaj & Mirosław Mazurek & Dominik Strzałka & Alicja Wolny-Dominiak & Marc Woodbury-Smith, 2019. "Electronic Health Record Breaches as Social Indicators," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 141(2), pages 861-871, January.
    • Handle: RePEc:spr:soinre:v:141:y:2019:i:2:d:10.1007_s11205-018-1837-z
    DOI: 10.1007/s11205-018-1837-z
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    References listed on IDEAS

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    1. Filomena Maggino & Carolina Facioni, 2017. "Measuring Stability and Change: Methodological Issues in Quality of Life studies," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 130(1), pages 161-187, January.
    2. Paul Lee & Louis Leung & Venhwei Lo & Chengyu Xiong & Tingjun Wu, 2011. "Internet Communication Versus Face-to-face Interaction in Quality of Life," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 100(3), pages 375-389, February.
    3. W. W. Koczkodaj & T. Kakiashvili & A. Szymańska & J. Montero-Marin & R. Araya & J. Garcia-Campayo & K. Rutkowski & D. Strzałka, 2017. "How to reduce the number of rating scale items without predictability loss?," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(2), pages 581-593, May.
    4. Filomena Maggino & Carolina Facioni, 2017. "Erratum to: Measuring Stability and Change: Methodological Issues in Quality of Life Studies," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 130(3), pages 1297-1297, February.
    5. Emre Senol-Durak & Mithat Durak, 2011. "The Mediator Roles of Life Satisfaction and Self-Esteem between the Affective Components of Psychological Well-Being and the Cognitive Symptoms of Problematic Internet Use," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 103(1), pages 23-32, August.
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    Cited by:

    1. Mishall Al-Zubaidie & Zhongwei Zhang & Ji Zhang, 2019. "PAX: Using Pseudonymization and Anonymization to Protect Patients’ Identities and Data in the Healthcare System," IJERPH, MDPI, vol. 16(9), pages 1-36, April.
    2. Yujin Han & Yawei Zhang & Sten H. Vermund, 2022. "Blockchain Technology for Electronic Health Records," IJERPH, MDPI, vol. 19(23), pages 1-6, November.

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