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Enhancing Data Resilience in Cloud-based Electronics Health Records through Ransomware Mitigation Strategies Using NIST and MITRE ATT&CK Frameworks

Year: 2025
Type: article
Abstract: The increasing adoption of cloud-based Electronic Health Records (EHRs) has transformed healthcare by enhancing data accessibility, interoperability, and patient care efficiency. However, this transition has also introduced new cybersecurity vulnerabilities, with ransomware emerging as a critical threat to healthcare systems. Ransomware attacks disrupt medical services, compromise patient confidentiality, and impose significant financial burdens on institutions. This study comprehensively examines ransomware threats in cloud-based EHR environments by analyzing vulnerabilities, attack vectors, and mitigation strategies through the NIST Cybersecurity Framework and MITRE ATT&CK Framework. A quantitative analysis was conducted using datasets from the U.S. Department of Health and Human Services (HHS), the Cybersecurity & Infrastructure Security Agency (CISA), and the MITRE ATT&CK database. Key findings indicate a 67% increase in ransomware incidents from 2018 to 2023, with credential theft (33.3%) and phishing (26.7%) as the most exploited attack vectors. Recovery challenges were exacerbated by backup failures (hazard ratio = 0.000, p = 0.127) and third-party risks (hazard ratio = 0.000, p = 0.030). To mitigate these risks, the study advocates for a multi-layered cybersecurity approach, emphasizing Zero Trust Architecture, AI-driven threat detection, immutable backups, and vendor risk management. The findings underscore the need for collaboration among healthcare institutions, cybersecurity professionals, and policymakers to strengthen resilience against evolving ransomware threats. By integrating structured cybersecurity frameworks and proactive defense mechanisms, healthcare organizations can enhance data security, ensure compliance, and minimize operational disruptions.
Language: English
Open Access status: diamond
OpenAlex ID: W4408481048
FWCI: 3.321
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Cited by: 3
Related to: 10