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Research Article Open access CC BY 4.0

Enhancing Incident Response Strategies in U.S. Healthcare Cybersecurity

Adebayo Yusuf Balogun, Oluwaseun Oladeji Olaniyi, Anthony Obulor Olisa, Michael Olayinka Gbadebo, Noah Chukwufumnanya Chinye

Journal of Engineering Research and Reports · pp. 114–135 · Published 30 Jan 2025

10.9734/jerr/2025/v27i21399

Abstract

This study explores the enhancement of incident response strategies in the U.S. healthcare sector, leveraging data from the Verizon Data Breach Investigations Report, the HHS Breach Portal, and the MITRE ATT&CK Framework. A quantitative methodology was employed, incorporating descriptive statistics, linear regression, and clustering analysis to assess the state of incident response, the impact of recent cyberattacks, and the effectiveness of advanced technologies. Findings revealed consistent improvements in detection and containment times (5.26% and 5.68% annually, respectively) but showed that healthcare still lags behind cross-industry benchmarks. A strong correlation (R² = 0.946) was observed between breach size and financial losses, with larger breaches incurring severe operational and financial impacts. AI-driven systems outperformed traditional methods, achieving a 93.5% F1 score compared to 81.5% for conventional approaches. Recommendations include investing in AI systems, comprehensive training programs, upgrading legacy systems, and implementing continuous improvement mechanisms to strengthen healthcare cybersecurity resilience.

Cybersecurity incident response healthcare sector artificial intelligence quantitative analysis

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