SECURING HEALTHCARE INFORMATION SYSTEMS AGAINST RANSOMWARE: A RISK-BASED FRAMEWORK

SECURING HEALTHCARE INFORMATION SYSTEMS AGAINST RANSOMWARE: A RISK-BASED FRAMEWORK. In this 2026 study published in the World Journal of Advanced Engineering Technology and Sciences, Luqman Ali develops a way for healthcare organizations to decide which ransomware risks deserve attention first. The goal is to rank threats by likelihood, operational consequences and the importance of affected assets, then connect those risks to prevention, detection, response and recovery. The focus is how that process works in healthcare facilities that rely on interdependent technology, with its conclusions kept within that setting.

Healthcare delivery now depends on interconnected clinical, administrative and communications systems. Data moves among users, devices, departments and outside services, so weak credentials and weaknesses in connected systems or outside access can become entry points. Modern ransomware can encrypt or steal data, compromise credentials and move between systems. In a hospital, the consequence is not limited to lost files. When records and other clinical systems are unavailable, treatment can be delayed and workloads can increase. That makes availability, rapid containment and restoration part of the security problem alongside confidentiality and data integrity.

Ali asks how a healthcare organization can identify its ransomware threats, estimate which ones are most likely to be exploited and prioritize them according to operational impact and asset criticality. The framework covers systems used in care and administration, along with the identities, backups and outside connections around them. It then links prioritized risks to controls from prevention through recovery. The practical attraction is resource allocation: instead of treating every system alike, a hospital can direct limited security capacity toward exposed assets whose loss would have serious consequences for care or operations.

The method is design science, meaning Ali builds a usable security process and assesses whether its design meets defined goals. He begins by identifying ransomware threats, vulnerable assets, operational dependencies and control gaps. Risk is judged by how critical and vulnerable an asset is, how likely exploitation is and how operations could be affected. The evidence combines documented incident and vulnerability records with assessments of healthcare environments, using representative system inventories and expert observations. Two earlier incidents provide scenario material: WannaCry’s impact on the UK National Health Service in 2017 and the Conti attack on Ireland’s Health Service Executive in 2021. Ali evaluates two broad outcomes. Security performance covers remaining exposure and early detection. Operational resilience covers containment and recovery speed, reliable backup restoration, service downtime and whether the process is practical to use.

The assessment places systems that control identity, deliver care and support administration among the most vulnerable, along with connected medical devices and backup infrastructure. Exposure is highest where authentication and privileges are weak, networks are poorly separated or patches are outdated. Assessed risk falls most when controls address those weaknesses together and add continuous monitoring and protected backups. The analysis judges this coordinated approach across the incident lifecycle more effective than technical controls used in isolation. In the WannaCry scenario, Ali concludes that these measures would have reduced propagation. For the Irish incident, the analysis suggests that stronger phishing and privileged-access defenses, endpoint monitoring and earlier incident escalation could have strengthened detection and containment.

The incident evidence explains the framework’s logic. WannaCry spread rapidly by exploiting a Windows vulnerability, and health organizations experienced disruption across an interconnected environment. That case ties legacy infrastructure and patch management to coordinated prevention, containment and tested recovery. In Ireland, significant information-technology systems were affected, disrupting clinical and administrative processes and putting additional strain on healthcare workers. Ali uses that case to examine phishing resistance, privileged access, threat monitoring, incident escalation and recovery capability. Together, the cases provide concrete attack paths and service consequences for reasoning about where to place controls, but the framework’s benefits remain scenario-based conclusions.

The evidence has important limits. Available incident records may be incomplete because organizations do not always disclose every technical detail of a ransomware attack. Differences in hospitals’ operating scale, technical environment and regulatory setting can also affect how well the framework works, so conclusions from selected cases and representative settings may not carry into every organization. Ali also cautions that a risk score cannot stand alone; it must be interpreted alongside clinical priorities, available resources and acceptable service interruption. Legacy applications and medical devices further complicate patching or replacement when either action could disrupt care. The framework therefore needs local adaptation and continuing reassessment rather than rigid implementation.

For a healthcare security team, the framework translates into a defensible sequence. Start with visibility: maintain an asset inventory, map clinical dependencies and identify assets that combine high ransomware exposure with serious operational consequences. Next, reduce exposure through stronger identity, vulnerability and network controls, backed by continuous monitoring. Then prepare for failure. Where attackers may target recovery resources, keep protected offline backups or copies designed not to be altered, test restoration and assign clear ownership for incident handling and recovery. Clinical departments should identify systems required to sustain care. Vendors should protect remote access and support prompt incident reporting and recovery. Implementation can begin with the most critical and vulnerable assets rather than attempting everything at once.

Ali’s contribution is a continuous cycle that connects asset and risk assessment with control selection, monitoring, incident handling, recovery and reassessment. It ties security decisions to clinical dependency, backup integrity and restoration priority. The framework gives hospital leadership and technical and clinical teams a shared way to set priorities and maintain essential services. It can make patient-care impact part of risk ranking, clarify escalation and guide recovery priorities. The selected scenarios are not proof that the same controls will produce the same results in every healthcare setting.