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ZENODO
Dataset . 2019
License: CC 0
Data sources: ZENODO
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ZENODO
Dataset . 2019
License: CC 0
Data sources: ZENODO
DRYAD
Dataset . 2019
License: CC 0
Data sources: Datacite
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Data from: Health IT, hacking, and cybersecurity: national trends in data breaches of protected health information

Authors: Ronquillo, Jay G.; Winterholler, J. Erik; Cwikla, Kamil; Szymanski, Raphael; Levy, Christopher;

Data from: Health IT, hacking, and cybersecurity: national trends in data breaches of protected health information

Abstract

Objective: The rapid adoption of health information technology (IT) coupled with growing reports of ransomware, and hacking has made cybersecurity a priority in health care. This study leverages federal data in order to better understand current cybersecurity threats in the context of health IT. Materials and Methods: Retrospective observational study of all available reported data breaches in the United States from 2013 to 2017, downloaded from a publicly available federal regulatory database. Results: There were 1512 data breaches affecting 154 415 257 patient records from a heterogeneous distribution of covered entities (P < .001). There were 128 electronic medical record-related breaches of 4 867 920 patient records, while 363 hacking incidents affected 130 702 378 records. Discussion and Conclusion: Despite making up less than 25% of all breaches, hacking was responsible for nearly 85% of all affected patient records. As medicine becomes increasingly interconnected and informatics-driven, significant improvements to cybersecurity must be made so our health IT infrastructure is simultaneously effective, safe, and secure.

HHS_BreachDataset_JAMIAOData downloaded from HHS OCR portal: https://ocrportal.hhs.gov/ocr/breach/breach_report.jsf

Country
Canada
Related Organizations
Keywords

electronic health records, cybersecurity, ransomware, clinical informatics, hacking

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citations
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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