Contemporary critical care medicine stands at a crossroads, and the physicians and researchers sounding the alarm say the COVID-19 pandemic revealed uncomfortable truths the world has been too quick to forget. A new perspective article published in the journal Intensive Care Medicine argues that the global health community must fundamentally rethink how it prepares for future pandemics, shifting from a static model of “preparedness” to a dynamic, adaptive model of “resilience.” Written by Manuel Ruiz-Bailén of the University Hospital of Jaén and María del Carmen Ruiz-Iniesta of the European University of Madrid, the article contends that even the most basic questions—such as how prepared intensive care units actually are for a new pandemic—still lack a verifiable answer, and that this failure stems not from lack of intent but from failures of measurement and system design.
The COVID-19 pandemic exposed how quickly critical care services can become fragile when demand surges. Preparedness was uneven and, in many settings, insufficient. The mobilization of specialized staff across borders proved difficult, and health systems discovered that nominal bed counts and ventilator stockpiles tell very little about what an ICU can actually deliver. The authors emphasize that definitions of ICU capacity are not harmonized, indicators remain incomplete, and operational data often cannot distinguish between resources that exist on paper and those that are genuinely deployable. Critically, the effective availability of qualified personnel—the key determinant of ICU capability—remains poorly characterized in most national and international assessments.
In their article, the researchers frame emerging infectious threats not as isolated microbiological problems but as stress tests of the entire critical care system. They point to recent concerns surrounding hantavirus, particularly the Andes variant, which is associated with high mortality, as an illustrative example rather than a prediction of the next pandemic. While only certain hantavirus variants have demonstrated epidemic potential in humans, the authors argue that such events underscore the importance of building resilient systems capable of responding to a wide range of future threats. The central question, they insist, is not whether a particular virus will spread in a specific way, but whether critical care systems can absorb rapid increases in demand without compromising safety, equity, and sustainability. The next pandemic may not resemble COVID-19, but the vulnerabilities it exploits are likely to be familiar.
At the heart of the article is the concept of “ICU strain,” which the authors define as the mismatch between demand and available resources—a mismatch that affects patient outcomes as well as the well-being and retention of staff. The indicators of strain are familiar to anyone who worked through the pandemic: delayed admissions, patient queuing, premature or out-of-hours discharges, the use of temporary care areas, deteriorating staffing ratios, and markers of professional exhaustion. But the authors warn that variability in how strain is defined undermines the usefulness of isolated metrics for planning or benchmarking. If systems cannot measure strain consistently, they cannot manage it proactively. They call for coordinated national and regional strategies, real-time monitoring, and interhospital collaboration to redistribute patient load—through coordinated patient transfers and the allocation of ventilators and extracorporeal membrane oxygenation via regional command centers.
Importantly, the authors do not argue that ICU strain can be eliminated entirely. During large-scale pandemics, some degree of pressure is unavoidable. The objective, they write, is to ensure that health systems can effectively absorb extraordinary surges through well-structured escalation strategies, regional coordination, and adaptive surge capacity—preventing uncontrolled overload and managing pressure in a coordinated, sustainable manner. Resilience, in their formulation, is defined as the capacity to anticipate, absorb, adapt, and learn. It is not the preservation of routine ICU practice under extraordinary circumstances, nor merely the ability to recover after a crisis, but the organizational capacity to respond to major disruptions while maintaining safe and equitable critical care. The article illustrates this vision with a model of six interdependent pillars: expert multidisciplinary teams, clinical excellence, continuous monitoring and intelligent data use, scalable ICU capacity, adaptive organizational processes, and continuous learning.
Workforce sustainability, the authors argue, is the principal bottleneck. Burnout among critical care professionals is consistently associated with compromised patient safety, higher error rates, and the organizational harms of attrition and turnover. Post-pandemic data indicate that excessive workload and prolonged shifts remain strongly linked to burnout, while access to mental health support remains inadequate for many professionals. Recent studies of burnout in Spanish intensive care units and global assessments of ICU staffing converge on the same conclusion: a sufficient, well-distributed, and properly supported nursing and physician workforce is essential for care delivery in high-intensity environments. Preparedness plans that focus on beds and ventilators while neglecting staffing sustainability are, by definition, incomplete. The authors describe burnout and attrition as systemic failures that directly affect safety and access, and they call on scientific societies to champion minimum standards for staffing and training, alongside practical protections for well-being and retention.
Equity emerges as a second pillar of the resilience agenda. The authors argue that pandemic equity should encompass not only fair allocation of critical care resources during crises but also the long-term strengthening of critical care capacity in regions where ICU services remain limited or entirely unavailable. Access to intensive care, decisions made within it, and recovery after it are shaped by social determinants as well as clinical need. During COVID-19, disparities in ICU admission and outcomes reflected both comorbidity burden and socioeconomic factors, and inequities persisted into rehabilitation and longer-term recovery. This has prompted calls to shift the focus from merely “saving lives” to “restoring lives equitably.” Any strategy for future pandemics, the article contends, must treat equity as a design requirement rather than an aspiration, with preparedness strategies adaptable to low-, middle-, and high-resource settings and continuous monitoring of their impact on access, quality, and outcomes.
The article also addresses the role of innovation and artificial intelligence, urging careful distinction between technological novelty and genuine readiness. Artificial intelligence holds promise for intensive care, but most applications remain early in development; only a small fraction have reached clinical implementation, and many are limited by bias and weak reporting. The challenge, the authors write, is not only to develop tools but to integrate clinically validated systems into clinical workflows without widening the gap between centers that can adopt them and those that cannot. Innovation, they stress, must be carefully evaluated and integrated, but it cannot substitute for robust organizational preparedness. Demographic change intensifies these pressures further: older adults already account for a large proportion of ICU patient-days, and this share is expected to rise, with recent guidance urging the integration of geriatric principles—function, frailty, cognition, and goals of care—into everyday ICU practice.
The authors also pose a pointed question to national and international scientific societies in intensive care medicine: should they anticipate future pandemics through pre-emptive protocolization, or continue reacting when crises arrive? COVID-19 demonstrated that these societies can rapidly produce consensus statements, clinical recommendations, and ethical frameworks, but it also exposed the limits of a reactive approach. Guidance developed during a crisis is constrained by urgency, limited evidence, and variable implementation contexts. Moreover, pathogen-specific protocols can create a false sense of security if they are not matched by system capacity and workforce resilience. Instead of attempting to write a protocol for every plausible threat, the authors recommend flexible, scenario-based frameworks incorporating variable planning scenarios reflecting different combinations of transmissibility, severity, and resource availability; scalable response strategies aligned with changing epidemiological conditions; and mechanisms for regional and international coordination enabling mutual aid and resource redistribution. Across Europe, health systems that rapidly implemented collaborative organizational models—regional ICU networks, interhospital transfers, coordinated surge planning—were generally better positioned to balance demand and preserve access to critical care under exceptional pressure.
The strategic direction that follows, the authors conclude, rests on four commitments. First, improve measurement: without standardized indicators of capacity, competence, and strain, ICUs risk confusing short-term improvisation with long-term sustainability. They propose national and regional ICU dashboards integrating bed capacity, workforce availability, competencies, and validated strain indicators with predefined escalation and de-escalation thresholds, alongside regular multidisciplinary simulation exercises to test surge plans and identify operational bottlenecks before the next emergency. Second, protect and rebuild the workforce through predefined surge staffing pools, cross-training programs, and contingency plans enabling rapid and safe mobilization of skilled professionals. Third, pursue innovation with rigor, grounded in common data standards, interoperability, and robust clinical validation. Fourth, prioritize equity across the continuum from ICU admission through long-term recovery, recognizing that modern critical care does not end at hospital discharge. Future pandemics will differ in their characteristics, but the structural vulnerabilities they expose will likely remain similar. Complete preparedness for every possible threat is unattainable; the priority, the authors argue, should be to build systems capable of anticipating demand, adapting under pressure, and maintaining safe, equitable, and sustainable critical care. Preparedness is a static objective; resilience is a dynamic capability—and the time to build it is now, before the next crisis arrives.
Subject of Research: Rethinking critical care strategies for future pandemics, shifting from static pandemic preparedness to dynamic health-system resilience in intensive care medicine
Subject of Research: Medicine
Article Title: From preparedness to resilience: rethinking critical care strategies for future pandemics
Article References: Ruiz-Bailén, M., & Ruiz-Iniesta, M. D. C. (2026). From preparedness to resilience: rethinking critical care strategies for future pandemics. Intensive Care Medicine. https://doi.org/10.1007/s00134-026-08571-7
Image Credits: AI Generated
DOI: 10.1007/s00134-026-08571-7
Keywords: pandemic preparedness, ICU resilience, critical care capacity, ICU strain, workforce burnout, health equity, surge capacity, artificial intelligence in intensive care, regional coordination, scientific societies, dynamic frameworks, aging ICU population
Cite Scienmag News
APA MLA Chicago
Ophelia Keating. (September 8, 2026). From preparedness to resilience: rethinking critical care strategies for future pandemics. Scienmag. https://scienmag.com/from-preparedness-to-resilience-rethinking-critical-care-strategies-for-future-pandemics/
Ophelia Keating. “From preparedness to resilience: rethinking critical care strategies for future pandemics.” Scienmag, 8 September 2026, https://scienmag.com/from-preparedness-to-resilience-rethinking-critical-care-strategies-for-future-pandemics/. Accessed 8 September 2026.
Ophelia Keating. “From preparedness to resilience: rethinking critical care strategies for future pandemics.” Scienmag. September 8, 2026. https://scienmag.com/from-preparedness-to-resilience-rethinking-critical-care-strategies-for-future-pandemics/
Copy citation Download RIS
Tags: adaptive critical care strategiesadaptive healthcare systems for future pandemicsCOVID-19 critical care lessonsCritical care pandemic preparednesscross-border healthcare workforce mobilizationdynamic models of healthcare system resiliencefuture pandemic healthcare planningglobal health response to pandemicsharmonization of critical care capacity indicatorshealth system fragility during pandemicshealthcare system resiliencehospital resource managementICU capacity measurementimpact of surge demand on ICU fragilityimportance of system adaptability in pandemic responseimproving system measurement for pandemic readinessinterdisciplinary critical care planninglessons learned from COVID-19 critical care responselimitations of static ICU capacity metricsmeasurement failures in critical care system designmeasuring ICU readinessPandemic preparedness and resilience in critical careredefining ICU capacity beyond bed countssurge capacity in intensive care units
