WEF: Digital Twins Could Be the Answer to Healthcare Defence

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Healthcare is among the most expensive sectors to suffer from cyber attacks | Credit: Getty
Digital twin simulations help healthcare organisations identify vulnerabilities and test defences proactively, reducing risk before cyberattacks occur

The convergence of digital innovation and healthcare delivery has created unprecedented opportunities for patient care, but it also exposed critical vulnerabilities that cybercriminals are increasingly exploiting.

As medical facilities integrate more connected devices, AI-powered diagnostics and centralised data platforms, the attack surface expands exponentially.

According to 2024 research from the World Economic Forum's Centre for Cybersecurity, the healthcare sector faces some of the most costly cyber incidents across all industries, with average breaches reaching US$7.42m.

Authors Michael Siegel, Principal Research Scientist and Director of Cybersecurity at MIT Sloan, and Dr Sander Zeijlemaker, MIT Sloan Cybersecurity Research Affiliate and Managing Director at Disem Institute, say the research examines how emerging technology could strengthen defences against mounting threats.

The financial impact represents only part of the equation.

The World Economic Forum (WEF) research shows that nearly 70% of healthcare organisations have experienced disruptions to patient care following cyber attacks.

More than half (56%) reported delayed medical procedures, while a quarter (28%) observed increased mortality risk.

Michael Siegel, Director Cybersecurity at MIT Sloan (CAMS) at MIT Sloan School of Management

In the UK, a National Health Service (NHS) ransomware attack contributed to a patient's death due to delayed blood test results, demonstrating how digital vulnerabilities translate directly into physical harm.

How centralised systems increase exposure

The healthcare sector's digital transformation has accelerated the shift from fragmented services towards integrated hubs.

Integrated digital health platforms store vast quantities of patient data for advanced analytics, enabling personalised treatment approaches that were previously impossible.

However, this centralisation creates concentration risk.

The report notes: "Supply chain dependencies and third-party vulnerabilities create new entry points for adversaries, as evidenced by the sharp rise in supply chain attacks."

Medical robotics, AI diagnostic tools and connected medical devices enhance care quality while simultaneously introducing complex security challenges.

Each connected device represents a potential entry point and the interdependencies between systems mean that a breach in one area could cascade across entire networks.

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The complexity of modern healthcare IT infrastructure means that traditional security approaches often fail to account for the interconnected nature of systems, leaving gaps that sophisticated attackers can exploit.

Simulating attacks before they happen

To address these amplifying threats, the MIT Cybersecurity at MIT Sloan (MIT CAMS) forum collaborated with Dutch national security and healthcare agency Zorg Computer Emergency Response Team (Z-CERT) and the European cyber and healthcare platform European Union Health Information Sharing and Analysis Centre (EU-Health ISAC) to develop a strategic digital twin specifically designed for healthcare cyber resilience.

Digital twin technology creates virtual replicas of physical systems, allowing organisations to test scenarios without risking real-world operations.

In healthcare applications, these digital twins mirror real-world hospital ecosystems by linking patient flows with enterprise architecture, staffing patterns and financial performance, according to the research.

Risk Management dashboard improves visibility | Credit: WEF: Centre for Cybersecurity

Michael and Sander explain in the report: "This gives leaders a safe, strategic environment to evaluate untested strategies, pressure-test investment decisions and sharpen organisational judgment without disrupting real-world operations or patient care."

The technology makes visible the complex interdependencies that characterise modern healthcare delivery.

Through simulation, leaders can observe how decisions ripple across departments, partner organisations and clinical pathways.

Dashboard visualisations demonstrate how different defensive strategies and budget allocations could defend against sophisticated ransomware threats while revealing relevant trade-offs.

Strategic advantages of simulation technology

Digital twins enable cybersecurity teams to model various attack scenarios and evaluate defensive responses before implementing them in live environments.

This capability could help separate effective strategies from counterproductive approaches that might worsen outcomes during actual incidents.

Interdependencies become visible with digital twins | Credit: WEF: Centre for Cybersecurity

The technology offers several strategic advantages.

Mochael and Sander add in the report: "They enable executives to see how investment decisions cascade across the organisation through targeted simulations, to prioritise budgets for maximum impact, faster response and improved clinical capacity and to identify counterintuitive strategies that transform cyber-risk management into a value driver for patient safety and care delivery."

By visualising potential threats through interactive dashboards, healthcare leaders can make informed decisions that minimise impact on patients, systems and operations.

The simulation environment allows organisations to develop muscle memory for crisis response, testing communication protocols and decision-making frameworks before they are needed in high-pressure situations.

As cyber threats have evolved in sophistication and frequency over recent years, simulation technology could represent a shift from reactive to proactive defence strategies, allowing healthcare organisations to build resilience through repeated practice in risk-free virtual environments.

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