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Text mining analysis of over 392 million compromised healthcare records
 
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1
Laurentian University in Sadbury, Canada
 
2
WSB Merito University in Poznan, Poznań, Poland
 
3
University of Alberta, Edmonton, Canada
 
4
Rzeszów University of Technology
 
 
Corresponding author
Dominik Strzalka   

Rzeszów University of Technology
 
 
Adv. Sci. Technol. Res. J. 2025; 19(2)
 
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ABSTRACT
The U.S. Department of Health and Human Services (HHS) and the Office for Civil Rights (OCR) enforce federal civil rights laws. This study analyzed the collected data on healthcare data breaches, which affected over 392 million records in the USA from 21 October 2009 until 19 April 2024, using text mining. Using Latent Dirichlet Allocation (LDA) and the Elbow methods, five major topics for text mining analysis were established. The analysis allowed to identify key breach reasons for targeting effective remedial actions and increasing data security awareness.
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