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The introduction of advanced digital technologies continues to increase system complexity and introduce risks, which must be proactively identified and managed to support system resilience. Brain-computer interfaces (BCIs) are one such technology; however, the risks arising from broad societal use of the technology have yet to be identified and controlled. This study applied a structured systems thinking-based risk assessment method to prospectively identify risks and risk controls for a hypothetical future BCI system lifecycle. The application of the Networked Hazard Analysis and Risk Management System (Net-HARMS) method identified over 800 risks throughout the BCI system lifecycle, from BCI development and regulation through to BCI use, maintenance, and decommissioning. High-criticality risk themes include the implantation and degradation of unsafe BCIs, unsolicited brain stimulation, incorrect signals being sent to safety-critical technologies, and insufficiently supported BCI users. Over 600 risk controls were identified that could be implemented to support system safety and performance resilience. Overall, many highly-impactful BCI system safety and performance risks may arise throughout the BCI system lifecycle and will require collaborative efforts from a wide range of BCI stakeholders to adequately control. Whilst some of the identified controls are practical, work is required to develop a more systematic set of controls to best support the design of a resilient sociotechnical BCI system.

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BACKGROUND: Mass Casualty Incidents are rare but can significantly stress healthcare systems. Functional Resonance Analytical Methodology (FRAM) is a systematic approach to model and explore how complex systems adapt to variations and to understand resilient properties in the face of perturbations. The aim of this study was to use FRAM to create a model of a paediatric trauma system during the initial response to the Manchester Arena Attack to provide resilience-based insights for the management of future Mass Casualty Incidents (MCI). METHODS: Qualitative interviews in the immediate aftermath of a terrorist bombing, were followed up with further in-depth probing of subject matter experts to create a validated and verified FRAM model. This model was compared with real incident data, then simplified for future studies. RESULTS: A Work As Imagined (WAI) model of how a paediatric emergency department provided resilient healthcare for MCI patients from reception and resuscitation to definitive care is presented. A focused model exploring the pathway for the most severely injured patients that will facilitate the simulation of a myriad of potential emergency preparedness resilience response scenarios is also presented. CONCLUSIONS: The systematic approach undertaken in this study has produced a model of a paediatric trauma system during the initial response to the Manchester Arena Attack, providing key insights on how a resilient performance was sustained. This modelling may provide an important step forward in the preparedness and planning for future MCIs.

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In the context of socio-technical systems, traditional engineering approaches are inadequate, calling for a fundamental change in perspective. A different approach encourages viewing socio-technical systems as complex living entities rather than through a simplistic lens, which enhances our understanding of their dynamics. However, these systems are designed to facilitate human activities, and the goal is not only to comprehend how they operate but also to guide their function. Currently, we lack the appropriate terminology. Hence, we introduce two principal concepts, simplexity and complixity, drawing inspiration from how nature conceals intricate mechanisms beneath straightforward, user-friendly interfaces.

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Diagnostic errors in health care are a global threat to patient safety. Researchers have traditionally focused diagnostic safety efforts on identifying errors and their causes with the goal of reducing diagnostic error rates. More recently, complementary approaches to diagnostic errors have focused on improving diagnostic performance drawn from the safety sciences. These approaches have been called Safety-II and Safety-III, which apply resilience engineering and system safety principles, respectively. This review explores the safety science paradigms and their implications for analyzing diagnostic errors, highlighting their distinct yet complementary perspectives. The integration of Safety-I, Safety-II, and Safety-III paradigms presents a promising pathway for improving diagnosis. Diagnostic researchers not yet familiar with the various approaches and potential paradigm shift in diagnostic safety research may use this review as a starting point for considering Safety-I, Safety-II, and Safety-III in their efforts to both reduce diagnostic errors and improve diagnostic performance.

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OBJECTIVE: There are few analyses of the current status of and responses to acute deteriorations encountered by physiotherapists, occupational therapists, and speech-language pathologists (rehabilitation professions [RPs]). The purpose of this study was to analyze the responses of RPs to acute deterioration in patients using the functional resonance analysis method (FRAM) based on the descriptions in "the Medical Accident Database". METHODS: Subjects were 413 cases with medical incidents reported by RPs to the database from 2012 to 2021. Life-threatening cases with changes in consciousness, circulation, and respiration were selected. Descriptions regarding findings assessed by RPs and support team, and requests for assistance were extracted. We also attempted to construct appropriate respond in RPs by using the FRAM. RESULTS: Thirty-nine cases of acute deterioration were included in the analysis, and descriptions by RPs of consciousness (35 cases), circulation (18 cases), and respiration (36 cases) were identified. Blood pressure and percutaneous oxygen saturation measurement were frequently presented in the assessment by RPs, whereas the support team assessed cardiac arrest and respiratory arrest in high frequency. The FRAM analysis indicated that appropriate and rapid post-response by RPs requires patient information in prior, appropriate assessment and integration/interpretation. CONCLUSION: We attempted to identify problems analyzing the response by RPs to acute deterioration using the database and construct an appropriate response model. It resulted that RPs need to obtain patient information in advance and integrate/interpret it appropriately based on accurate assessment of conscious, circulation and respiration for rapid response. A model including integration/interpretation for appropriate post-response by RPs was constructed using the FRAM.

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BACKGROUND: Resilience, in the field of Resilience Engineering, has been identified as the ability to maintain the safety and the performance of healthcare systems and is aligned with the resilience potentials of anticipation, monitoring, adaptation, and learning. In early 2020, the COVID-19 pandemic challenged the resilience of US healthcare systems due to the lack of equipment, supply interruptions, and a shortage of personnel. The purpose of this qualitative research was to describe resilience in the healthcare team during the COVID-19 pandemic with the healthcare team situated as a cognizant, singular source of knowledge and defined by its collective identity, purpose, competence, and actions, versus the resilience of an individual or an organization. METHODS: We developed a descriptive model which considered the healthcare team as a unified cognizant entity within a system designed for safe patient care. This model combined elements from the Patient Systems Engineering Initiative for Patient Safety (SEIPS) and the Advanced Team Decision Making (ADTM) models. Using a qualitative descriptive design and guided by our adapted model, we conducted individual interviews with healthcare team members across the United States. Data were analyzed using thematic analysis and extracted codes were organized within the adapted model framework. RESULTS: Five themes were identified from the interviews with acute care professionals across the US (N = 22): teamwork in a pressure cooker, consistent with working in a high stress environment; healthcare team cohesion, applying past lessons to present challenges, congruent with transferring past skills to current situations; knowledge gaps, and altruistic behaviors, aligned with sense of duty and personal responsibility to the team. Participants' described how their ability to adapt to their environment was negatively impacted by uncertainty, inconsistent communication of information, and emotions of anxiety, fear, frustration, and stress. Cohesion with co-workers, transferability of skills, and altruistic behavior enhanced healthcare team performance. CONCLUSION: Working within the extreme unprecedented circumstances of COVID-19 affected the ability of the healthcare team to anticipate and adapt to the rapidly changing environment. Both team cohesion and altruistic behavior promoted resilience. Our research contributes to a growing understanding of the importance of resilience in the healthcare team. And provides a bridge between individual and organizational resilience.

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Building maintenance encompasses multiple tightly inter-connected agents (e.g., technicians, occupants, supervisors, and equipment). Variable working conditions and limited resources may affect the safety and sustainability of the activities. Although recent studies have explored how complex systems can perform resilient behavior in facing the complexity of everyday activities, the factors that effectively contribute to resilient performance are still paired with limited empirical evidence. We studied the performance of the maintenance team during sudden breakdowns of air-conditioning devices in a large university campus, using the Functional Resonance Analysis Method (FRAM). A FRAM diagram containing 30 functions was organized including six macro-cognitive functions (expertise, sensemaking, communication, coordination, collaboration, and adaptation/improvisation), examining their role in anticipating, and responding to emergencies, and eight functional units that are directly impacted by disturbances were analyzed in more detail. Results indicate that macro-cognitive functions can greatly impact the functionality of the maintenance team in pursuit of their goals. Moreover, we noted those macro-cognitive functions here analyzed depend on each other to produce resilient performance.

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Work Domain Analysis (WDA), the foundational phase in the Cognitive Work Analysis Framework (CWA), provides a platform for understanding and designing complex systems. Though it has been used extensively, there are few applications in healthcare, and model validation for different contexts is not always undertaken. The current study aimed to validate an Emergency Department (ED) WDA across three metropolitan hospitals that differ in the type and nature of services they provide, including the ED in which the original ED WDA was developed. A facilitated workshop was conducted at the first ED and interviews at two subsequent EDs to refine and validate the ED WDA. ED subject matter experts (SMEs) including nurses, doctors, administration, and allied health personnel provided feedback on the model. SME feedback resulted in modifications to the original ED WDA model including combining nodes to reduce duplication and amending five labels for clarity. The resulting WDA provides a valid representation of the EDs found in metropolitan districts within an Australian state and can be used by roles such as frontline ED clinicians, hospital managers, and policy developers to facilitate the design, testing, and sharing of solutions to local and shared problems. The findings also demonstrate the importance of validating WDA models across different contexts.

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PURPOSE: Resilience engineering is the ability of a system to adjust its own functions and maintain the required behavior in the face of changes and disturbances, and resilience potential is a necessary requirement. We aimed to clarify the relationship between resilience potential and error prevention cases. METHOD: Based on the error cases reported in our department, we aggregated the relationship with resilience potential for each radiation treatment process. RESULT: As a result of tabulating the relationship, we were able to recognize and prevent errors by taking preventive measures from past cases. On the other hand, in cases that slipped through the check mechanism, errors were discovered because of a sense of discomfort in unusual situations, and some error cases could be prevented by increasing the resilience potential. CONCLUSION: This study found that preparation, observation, coping, and utilization of past experiences are related to resilience potential in preventive cases.

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OBJECTIVES: The objective of this scoping review is to map methods used to study medication safety following electronic health record (EHR) implementation. Patterns and methodological gaps can provide insight for future research design. MATERIALS AND METHODS: We used the Joanna Briggs Institute scoping review methodology and a custom data extraction table to summarize the following data: (1) study demographics (year, country, setting); (2) study design, study period, data sources, and measures; (3) analysis strategy; (4) identified limitations or recommendations; (5) quality appraisal; and (6) if a Safety-I or Safety-II perspective was employed. RESULTS: We screened 5879 articles. One hundred and fifteen articles met our inclusion criteria and were assessed for eligibility by full-text review. Twenty-seven articles were eligible for extraction. DISCUSSION AND CONCLUSION: We found little consistency in how medication safety following EHR implementation was studied. Three study designs, 7 study settings, and 10 data sources were used across 27 articles. None of the articles shared the same combination of design, data sources, study periods, and research settings. Outcome measures were neither defined nor measured consistently. It may be difficult for researchers to aggregate and synthesize medication safety findings following EHR implementation research. All studies but one used a Safety-I perspective to study medication safety. We offer a conceptual model to support a more consistent approach to studying medication safety following EHR implementation.

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BACKGROUND: Prompted by recent shocks and stresses to health systems globally, various studies have emerged on health system resilience. Our aim is to describe how health system resilience is operationalised within empirical studies and previous reviews. We compare these to the core conceptualisations and characteristics of resilience in a broader set of domains (specifically, engineering, socio-ecological, organisational and community resilience concepts), and trace the different schools, concepts and applications of resilience across the health literature. METHODS: We searched the Pubmed database for concepts related to 'resilience' and 'health systems'. Two separate analyses were conducted for included studies: a total of n = 87 empirical studies on health system resilience were characterised according to part of health systems covered, type of threat, resilience phase, resilience paradigm, and approaches to building resilience; and a total of n = 30 reviews received full-text review and characterised according to type of review, resilience concepts identified in the review, and theoretical framework or underlying resilience conceptualisation. RESULTS: The intersection of health and resilience clearly has gained importance in the academic discourse with most papers published since 2018 in a variety of journals and in response to external threats, or in reference to more frequent hospital crisis management. Most studies focus on either resilience of health systems generally (and thereby responding to an external shock or stress), or on resilience within hospitals (and thereby to regular shocks and operations). Less attention has been given to community-based and primary care, whether formal or informal. While most publications do not make the research paradigm explicit, 'resilience engineering' is the most prominent one, followed by 'community resilience' and 'organisational resilience'. The social-ecological systems roots of resilience find the least application, confirming our findings of the limited application of the concept of transformation in the health resilience literature. CONCLUSIONS: Our review shows that the field is fragmented, especially in the use of resilience paradigms and approaches from non-health resilience domains, and the health system settings in which these are used. This fragmentation and siloed approach can be problematic given the connections within and between the complex and adaptive health systems, ranging from community actors to local, regional, or national public health organisations to secondary care. Without a comprehensive definition and framework that captures these interdependencies, operationalising, measuring and improving resilience remains challenging.

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BACKGROUND: Although slack is an asset to resilient hospitals, it is usually explicitly discussed only in terms of the quantity and quality of beds and staff. This paper expands this view by addressing slack in four infrastructures of intensive care units (ICUs) (physical space, electricity supply, oxygen supply, and air treatment) during the COVID pandemic. METHODS: The study occurred in a leading private hospital in Brazil, aiming at the identification of slack in four units originally designed as ICUs and two units adapted as ICUs. Data collection was based on 12 interviews with healthcare professionals, documents, and comparison between infrastructures and regulatory requirements. RESULTS: Twenty-seven instantiations of slack were identified, with several indications that the adapted ICUs did not provide infrastructure conditions as good as the designed ones. Findings gave rise to five propositions addressing: relationships intra and inter infrastructures; the need for adapted ICUs that match as closely as possible the designed ICUs; the consideration of both clinical and engineering perspectives in design; and the need for the revision of some requirements of the Brazilian regulations. CONCLUSIONS: Results are relevant to both the designers of the infrastructures and to the designers of clinical activities as these must take place in fit-for-purpose workspaces. Top management might also benefit as they are the ultimate responsible for decision-making on whether or not to invest in slack. The pandemic dramatically demonstrated the value of investing in slack resources, creating momentum for this discussion in health services.

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First-line managers (FLMs) have a vital role in developing stable output and organizational competitiveness through their ability to manage front-line operations in daily work. It is also well known that FLMs are strong determinants of good ergonomics and well-being for front-line staff. However, research focusing on how FLMs deal with their important role is lacking particularly regarding empirical studies. The focus here is how they deal with uncertainties and disruptive interruptions and develop more resilient performance in daily work - introduced in this article as resilient action strategies. This research uses two conceptual frameworks on resilient engineering for analysis of FLM's actions in daily work in two manufacturing companies, to explore how resilient action strategies can be organizationally supported. The study combines analysis of front-line activities with multilevel organizational support based on 30 semi-structured in-depth interviews with FLMs and support functions, 21 workshops as well as policy documents of the two companies. The analysis exemplifies how resilience engineering was enabled in practice in the organizations. The study contributes to the empirical understanding of how resilience can be organizationally supported in daily front-line work. Our results show that a developed and consistent infrastructure in companies promotes the emergence of resilient action strategies in front-line work. We propose an extended model for resilient front-line performance enhancement by including coordination as a linking aspect between the earlier suggested resilient potentials - anticipate, monitor, respond and learn. This highlights the importance of both organizational support and coordination between system levels to enable the development of resilient action strategies by FLMs.

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BACKGROUND: Workflow interruptions in pharmacies contribute to dispensing errors, a high-priority issue in patient safety, but have rarely been studied from a systemic perspective partly because of the limitations of the conventional reductionistic approach. This study aims to identify a mechanism for the occurrence of interruptions in a hospital pharmacy and find interventional points using a synthetic approach based on resilience engineering and systems thinking, and assess implemented measures for reducing them. METHODS: At a Japanese university hospital, we gathered information about performance adjustments of pharmacists in the inpatient medication dispensing unit for oral and topical medicines (IMDU-OT) and nurses in the inpatient wards (IPWs) in the medication dispensing and delivery process. Data about the workload and workforce of pharmacists were collected from hospital information systems. Telephone inquiries and counter services in the IMDU-OT, the primary sources of interruptions to pharmacists' work, were documented. The feedback structure between the IMDU-OT and the IPWs was analyzed using a causal loop diagram to identify interventional points. The numbers of telephone calls and counter services were measured cross-sectionally before (February 2017) and four months after implementing measures (July 2020). RESULTS: This study found that interruptions are a systemic problem emerging from the adaptive behavior of pharmacists and nurses to their work constraints, such as short staffing of pharmacists, which limited the frequency of medication deliveries to IPWs, and lack of information about the medication dispensing status for nurses. Measures for mitigating cross-system performance adjustments-a medication dispensing tracking system for nurses, request-based extra medication delivery, and pass boxes for earlier pick-up of medicines-were introduced. Following their implementation, the daily median number of telephone calls and counter services was significantly reduced (43 to 18 and 55 to 15, respectively), resulting in a 60% reduction in the total number of interruptions. CONCLUSION: This study found interruptions in the hospital pharmacy as a systemic problem that can be reduced by mitigating difficulties being compensated for by clinicians' cross-system performance adjustments. Our findings suggest that a synthetic approach can be effective for solving complex problems and have implications for methodological guidance for Safety-II in practice.

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The healthcare system is an example of a complex sociotechnical system where the goal is the best possible individual treatment together with the cost-effective use of modern technology. Working in anesthesia requires medical knowledge as well as manual skills and the use of specialized technical equipment in an interdisciplinary and interprofessional setting. The susceptibility to errors and adverse events, especially in the care of critically ill patients, is high.In order to avoid unintentional hospital-induced patient harm, the healthcare system has recently taken the path of prescribing the best possible care for a large number of patients with the help of evidence-based guidelines and specific algorithms or instructions for action. Patient safety is defined accordingly as a state in which adverse events occur as rarely as possible (Safety­I).Following this approach clinical risk management is defined as the purposeful planning, coordination, execution and control of all measures that serve to avoid unintended hospital-induced patient harm or to limit its effects. For this purpose, the focus has recently been placed on instruments such as Critical Incident Reporting Systems (CIRS) or Morbidity and Mortality Conferences (M&MC); however, it is increasingly recognized that adverse events in complex sociotechnical systems such as the healthcare system arise situationally from the interaction of numerous components of the system. The effectiveness of CIRS and M&MC is limited because they do not comprehensively take situational effects into account. Thus, only selective changes are possible which, however, do not imply a sustainable improvement of the system. Newer approaches to strengthening safety in complex sociotechnical systems understand positive as well as negative events as being equally caused by the variable adaptation of behavior to daily practice. They therefore focus on the majority of positive courses of treatment and the necessary adaptations of the health professionals involved in daily practice (Safety­II). In this way, the adaptability of the system under unexpected conditions should be increased (Resilience Engineering). Taking this systemic approach into account, the Functional Resonance Analysis Method (FRAM) offers a variety of possibilities for the prospective analysis of a complex sociotechnical system or for retrospective incident analysis through modelling of actual everyday actions (work as done). Through interviews with the health professionals involved, document analyses and work inspections, processes and their functions as well as the associated variability are assessed and graphically presented. The FRAM models the collected information of the process as complexes of interconnected functions represented by hexagonal symbols. Each corner of the hexagon represents a given aspect, which together form the properties of the function (input, output, precondition, resource, time, control). Through this visualization and evaluation of the interview results, the actual everyday actions (work as done) can be compared with the predefined ones (work as imagined). The evaluation of the variability found in this way enables the strengths and weaknesses of processes to be uncovered. As a result, specific measures can be derived to strengthen the system. Increased consideration of the Safety­II approach within clinical risk management can be a valuable addition to existing clinical risk management methods.

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The global conflict with the new coronavirus disease (COVID-19) has led to frequent visits to hospitals and medical centers. This significant increase in visits can be severely detrimental to the body of the healthcare system and society if the physical space and hospital staff are not prepared. Given the significance of this issue, this study investigated the performance of a hospital COVID-19 care unit (COCU) in terms of the resilience and motivation of healthcare providers. This paper used a combination of artificial neural networks and statistical methods, in which resilience engineering (RE) and work motivational factors (WMF) were the input and output data of the network, respectively. To collect the required data, we asked the COCU staff to complete a standard questionnaire, after which the best neural network configuration was determined. According to each indicator, sensitivity analysis and statistical tests were performed to evaluate the center's performance. The results indicated that the COCU had the best and worst performance with respect to self-organization and teamwork indicators, respectively. A data envelopment analysis (DEA) method was also used to validate the algorithm, and the SWOT (strengths, weaknesses, opportunities, threats) matrix was eventually presented to recommend appropriate strategies and improve the performance of the studied COCU.

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BACKGROUND: The Partners at Care Transitions (PACTs) intervention was developed to support older people's involvement in hospital to improve outcomes at home. A booklet, question card, record sheet, induction leaflet, and patient-friendly discharge letter support patients to be more involved in their health and wellbeing, medications, activities of daily living and post-discharge care. We aimed to assess intervention acceptability, identify implementation tools, and further develop the intervention. METHODS: This was a qualitative formative evaluation involving three wards from one hospital. We recruited 25 patients aged 75 years and older. Ward staff supported intervention delivery. Data were collected in wards and patients' homes, through semi-structured interviews, observation, and documentary analysis. Data were analysed inductively and iteratively with findings sorted according to the research aims. RESULTS: Patients and staff felt there was a need for, and understood the purpose of, the PACT intervention. Most patients read the booklet but other components were variably used. Implementation challenges included time, awareness, and balancing intervention benefits against risks. Changes to the intervention and implementation included clarifying the booklet's messages, simplifying the discharge letter to reduce staff burden, and using prompts and handouts to promote awareness. CONCLUSION: The PACT intervention offers a promising new way to improve care transitions for older people by supporting patient involvement in their care. After further development of the intervention and implementation package, it will undergo further testing. PATIENT OR PUBLIC CONTRIBUTION: This study regularly consulted a panel representing the local patient community, who supported the development of this intervention and its implementation.

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BACKGROUND: For hospitals, learning from disaster response efforts and adapting organizational practices can improve resilience in dealing with future disruptions. However, amidst global disruptions by climate change, the coronavirus disease 2019 (COVID-19) pandemic, and other disasters, hospitals' ability to cope continues to be highly variable. Hence, there are increasing calls to improve hospitals' capabilities to grow and adapt towards enhanced resilience. AIM: This study aims two-fold: (1) to characterize the current state of knowledge about how hospitals are gaining knowledge from their responses to disasters, and (2) to explore how this knowledge can be applied to inform organizational practices for hospital resilience. METHOD: This study used Preferred Reporting Items of Systematic Reviews and Meta-Analysis (PRISMA) guidelines for data collection and framework for data analysis, Covidence software, and Medical Subject Headings (MeSH) terms and keywords relevant to "hospitals," "learn," "disaster response," and "resilience." The quality appraisal used an adapted version of the Mixed Methods Assessment Tool (MMAT). RESULTS: After applying inclusion and exclusion criteria and quality appraisal, out of the 420 articles retrieved, 22 articles remained for thematic and content analysis. The thematic analysis included the hospital's functional (operational) and physical (structural and non-structural) sections. The content analysis followed nine learning areas (Governance and Leadership, Planning and Risk Assessment, Surveillance and Monitoring, Communication and Network Engagement, Staff Practices and Safety, Equipment and Resources, Facilities and Infrastructure, Novelty and Innovation, and Learning and Evaluation).On applying the Deming cycle, only four studies described a completed learning cycle wherein hospitals adapted their organizational structures using the prior experience and evaluation gained in responding to disaster(s). CONCLUSIONS: There is a gap between hospitals' organizational learning and institutionalized practice. The conceptualized Hybrid Resilience Learning Framework (HRLF) aims to guide the hospitals' decision makers in evaluating organizational resilience and knowledge.In the face of disasters, both the stressful factors and the coping strategies that affect the health care workers (HCWs) should be substantially considered.

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Resilience is ubiquitous in everyday speech, academic literature and governmental policies. Yet it seems to have taken a narrow scope in healthcare, confined to individual and psychological resilience. This short essay aims to broaden the understanding of resilience to organisational levels and calls intensivists to take active roles in fostering resilience for their staff. The article explores firstly the background and etymology of resilience. It then challenges current approaches and briefly signposts some current work in the area. Some examples of structural factors which build individual resilience are listed, followed by a call for intensivists to take active roles to build future resilience. The need for interdisciplinary, cross-sectoral and multi-level approaches is vital to build future healthcare resilience, and we intensivists must continue to be advocates for systemic change.

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Emergency management, both in civilian and military context, is regarded as a complex socio-technical system, whose dynamic nature and complexity require a holistic approach. Over time, scholars developed diverse strategies and methods to capture such complexity and effectively design emergency plans for more or less severe disasters scenarios. Nonetheless, planning is not always an omni-comprehensive task, pushing organizations to stretch their adaptive capacities in dynamic and challenging settings. This manuscript explores such adaptive capacity as put in place by a leading Norwegian organization in providing emergency management solutions, facing unexpected challenges (at the time of the event): handling of Covid-19 infection episodes on offshore oil platforms. The study, conducted through the Functional Resonance Analysis Method (FRAM) highlights the relevance of organizational learning which allows to handle emergencies by adapting plans to the specific context and by renewing new emergency management procedures derived from lessons learned. The study focuses on three different Covid-19 infection management cases to understand the nuances of actions and emerging adaptations that led to the development of a revised emergency plan, seen again through the lens of FRAM. While the methodological approach refers to Covid-19 infection management, we believe it can be extended into larger crisis management, providing a use case for the applicability of FRAM into emergency management scenarios.