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In the healthcare management domain, there is a lack of knowledge concerning the role of resilience practices in improving patient safety. The purpose of this paper is to understand the capabilities that enable healthcare resilience and how digital technologies can support these capabilities.

Within- and cross-case research methodology was used to study resilience mechanisms and capabilities in healthcare and to understand how digital health technologies impact healthcare resilience. The authors analyze data from two Italian hospitals through the lens of the operational failure literature and anchor the findings to the theory of dynamic capabilities.

Five different dynamic capabilities emerged as crucial for managing operational failure. Furthermore, in relation to these capabilities, medical, organizational and patient-related knowledge surfaced as major enablers. Finally, the findings allowed the authors to better explain the role of knowledge in healthcare resilience and how digital technologies boost this role.

When trying to promote a culture of patient safety, the research suggests healthcare managers should focus on promoting and enhancing resilience capabilities. Furthermore, when evaluating the role of digital technologies, healthcare managers should consider their importance in enabling these dynamic capabilities.

Although operations management (OM) research points to resilience as a crucial behavior in the supply chain, this is the first research that investigates the concept of resilience in healthcare systems from an OM perspective, with only a few authors having studied similar concepts, such as “workaround” practices.

The purpose of this conceptual paper is to develop a model of the hypothesized relationships between investments and outcomes of resilient health care (RHC).

Based on the extant literature, the aforementioned model is described along with proxy measures of its composing variables and a matrix for assessing the cost-effectiveness of RHC instantiations. Additional possible relationships are set out in two propositions for theory testing.

The model conveys that RHC gives rise to both desired and undesired outcomes. Investments moderate the relationships between RHC and its outcomes. Both investments and outcomes can be broadly categorized as either human or technical. Moreover, the propositions refer to what type and how much investment is necessary to perform in a resilient manner, what are the intended or desired outcomes of RHC, for how long and who is affected by these outcomes.

The cost-effectiveness perspective of RHC is new and the proposed model opens opportunities for empirical and theoretical research.

This study evaluated the influence of the coronavirus pandemic on the healthcare and non-cold pharmaceutical care distribution supply chain.

The model involves four objective functions to minimize the total costs, environmental impacts, lead time and the probability of a healthcare provider being infected by a sick person was developed. An improved version of the augmented e-constraint method was applied to solve the proposed model for a case study of a distribution company to show the effectiveness of the proposed model. A sensitivity analysis was conducted to identify the sensitive parameters. Finally, two robust models were developed to overcome the innate uncertainty of sensitive parameters.

The result demonstrated a significant reduction in total costs, environmental impacts, lead time and probability of a healthcare worker being infected from a sick person by 40%, 30%, 75% and 54%, respectively, under the coronavirus pandemic compared to the normal condition. It should be noted that decreasing lead time and disease infection rate could reduce mortality and promote the model's effectiveness.

Implementing this model could assist the healthcare and pharmaceutical distributors to make more informed decisions to minimize the cost, lead time, environmental impacts and enhance their supply chain resiliency.

This study introduced an objective function to consider the coronavirus infection rates among the healthcare workers impacted by the pharmaceutical/healthcare products supply chain. This study considered both economic and environmental consequences caused by the coronavirus pandemic condition, which occurred on a significantly larger scale than past pandemic and epidemic crises.

Medical tourism demands tremendous responsiveness and accountability. The triple bottom line in medical tourism indicates that these organizations must emphasize on economic profits, environmental protection, and conservation of social resources. Developing a resilient medical tourism ecosystem is another critical necessity after the COVID-19 pandemic. The present study attempts to study the various aspects of medical tourism while synthesizing the relevant theories. This synthesis was used to propose a framework for developing a resilient medical tourism system. The outcomes of the chapter also propose the long, medium, and short-term goals. These goals focus on relevant stakeholders for developing highly integrated and resilient medical-tourism destinations.

The study aims to identify and analyse the drivers of resilient healthcare supply chain (HCSC) preparedness in emergency health outbreaks to prevent disruption in healthcare services delivery in the context of India.

The present study has opted for the grey clustering method to identify and analyse the drivers of resilient HCSC preparedness during health outbreaks into high, moderate and low important grey classes based on Grey-Delphi, analytic hierarchy process (AHP) and Shannon's information entropy (IE) theory.

The drivers of the resilient HCSC are scrutinised using the Grey-Delphi technique. By implementing AHP and Shannon's IE theory and depending upon structure, process and outcome measures of HCSC, eleven drivers of a resilient HCSC preparedness are clustered as highly important, three drivers into moderately important, and two drivers into a low important group.

The analysis and insights developed in the present study would help to plan and execute a viable, resilient emergency HCSC preparedness during the emergence of any health outbreak along with the stakeholders' coordination. The results of the study offer information, rationality, constructiveness, and universality that enable the wider application of AHP-IE/Grey clustering analysis to HCSC resilience in the wake of pandemics.

Using total interpretive structural modelling (TISM), this paper aims to “identify”, “analyse” and “categorise” the sustainable-resilience readiness factors for healthcare during the Covid-19 pandemic.

To obtain the data, a closed-ended questionnaire was used in addition to a scheduled interview with each respondent. To identify how the factors interact, the TISM approach was employed and the cross-impact matrix multiplication applied to a classification method was used to rank and categorise the sustainable-resilience readiness factors.

This study identified ten sustainable-resilience readiness factors for healthcare during the Covid-19 pandemic. The study states that the major factors are environmental scanning, awareness and preparedness, team empowerment and working, transparent communication system, learning culture, ability to respond and monitor, organisational culture, resilience engineering, personal and professional resources and technology capability.

The study focused primarily on sustainable-resilience readiness characteristics for the healthcare sector.

This research will aid key stakeholders and academics in better understanding the factors that contribute to sustainable-resilience in healthcare.

This study proposes the TISM technique for healthcare, which is a novel attempt in the subject of readiness for sustainable-resilience in this sector. The paper proposes a framework including a mixture of factors for sustainability and resilience in the healthcare sector for operations.

To discuss how managers contribute in promoting resilience in healthcare, and to suggest a model of managers' role in supporting resilience and elaborate on how future research and implementation studies can use this to further operationalize the concept and promote healthcare resilience.

The authors first provide an overview of and discuss the main approaches to healthcare resilience and research on management and resilience. Second, the authors provide examples on how managers work to promote healthcare resilience during a one-year Norwegian longitudinal intervention study following managers in nursing homes and homecare services in their daily quality and safety work. They use this material to propose a model of management and resilience.

The authors consider managerial strategies to support healthcare resilience as the strategies managers use to engage people in collaborative and coordinated processes that adapt, enhance or reorganize system functioning, promoting possibilities of learning, growth, development and recovery of the healthcare system to maintain high quality care. The authors’ model illustrates how managers influence the healthcare systems ability to adapt, enhance and reorganize, with high quality care as the key outcome.

In this study, the authors argue that managerial strategies should be considered and operationalized as part of a healthcare system's overall resilience. They propose a new model of managers' role in supporting resilience to be used in practice, interventions and future research projects.

One of the most important components of healthcare is the timely delivery of pharmaceutical products, such as life-saving medicines. However, disruptions like COVID-19 bring new challenges and risks to the pharmaceutical supply chain (PSC) and healthcare organizations that impact their operational performance. This study focuses on mitigating risks in India's generic medicine supply chain (GMSC) as a result of various disruptions, which can assist policymakers develop appropriate plans and strategies to build resilience in the Jan Aushadhi Scheme (JAS) of micro, small and medium enterprises (MSMEs) in order to improve their overall performance.

Risk-causing vulnerabilities and resilience capabilities are identified from the literature review and expert's opinions. Following that, the vulnerabilities are classified into cause-and-effect vulnerabilities, and supply chain resilient capabilities (SCRCs) are measured using a hybrid fuzzy DEMATEL and best worst method (FDEMATEL-BMW) framework.

The outcome of the study reveals that transportation breakdown, loss of human resources and loss of suppliers are the potential risk-causing vulnerabilities that lead to vulnerabilities like shortages of medicines, loss of in-hand stock qualities and loss of sales/revenue. In addition, the analysis suggests that the sustainability of an organization with maximum weightage is the critical factor for building resilience in GMSC followed by flexibility, agility and visibility.

The integration of resilience into Jan Aushadhi GMSC can help in managing disruptions efficiently and effectively to mitigate risk and optimize MSMEs overall performance.

To the best of the authors’ knowledge, this work will be the first of its kind to model resilience in GMSC of MSMEs using a hybrid framework.

Although resilience is heavily studied in both the healthcare and organizational change literatures, it has received less attention in healthcare information technology (HIT) implementation research. Healthcare organizations are consistently in the process of implementing and updating several complex technologies. Implementations and updates are challenged because healthcare workers often struggle to perceive the benefits of HITs and experience deficiencies in system design, yet bear the brunt of the blame for implementation failures. This combination implores healthcare workers to exercise HIT resilience; however, how they talk about this construct has been left unexplored. Subsequently, this study explores healthcare workers' communicative constitution of HIT resilience.

Twenty-three physicians (N = 23), specializing in oncology, pediatrics or anesthesiology, were recruited from one healthcare organization to participate in comprehensive interviews during and after the implementation of an updated HIT system DIPS.

Thematic analysis findings reveal physicians communicatively constituted HIT resilience as their (1) convictions in the continued, positive developments of newer HIT iterations, which marked their current adaptive HIT behaviors as temporary, and (2) contributions to inter-organizational HIT brainstorming projects in which HIT designers, IT staff and clinicians jointly problem-solved current HIT inadequacies and created new HIT features.

Offering both practical for healthcare leaders and managers and theoretical implications for HIT and resilience scholars, this study's results suggest that (1) healthcare leaders must work diligently to create a culture of collaborative HIT design in their organization to help facilitate the success of new HIT use, and (2) information technology scholars reevaluate the theoretical meaningfulness a technology's spirit and reconsider the causal nature of a technology's embedded structures.

The coronavirus disease 2019 (COVID-19) pandemic has subjected a considerable strain on the healthcare (HC) systems around the world. The most affected countries are developing countries because of their weak HC infrastructure and meagre resources. Hence, building the resilience of the HC system of such countries becomes essential. Therefore, this study aims to build a resilience-based model on the HC sector of Pakistan to combat the COVID-19 and future pandemics in the country.

The study uses a novel hybrid approach to formulate a model based on resilient attributes (RAs) and resilient strategies (RSs). In the first step, the multi-criteria decision-making (MCDM) technique, i.e. full consistency method (FUCOM) is used to prioritize the RAs. Whereas, the fuzzy quality function deployment (QFD) is used to rank the RSs.

The findings suggest “leadership and governance capacity” to be the topmost RA. Whereas “building the operational capacity of the management”, “resilience education” and “Strengthening laboratories and diagnostic systems” are ranked to be the top three RSs, respectively.

The model developed in this study and the prioritization RAs and RSs will help build resilience in the HC sector of Pakistan. The policymakers and the government can take help from the prioritized RAs and RSs developed in this study to help make the current HC system more resilient towards the current COVID-19 and future pandemics in the country.

A new model has been developed to present a sound mathematical model for building resilience in the HC sector consisting of FUCOM and fuzzy QFD methods. The main contribution of the paper is the presentation of a comprehensive and more robust model that will help to make the current HC system of Pakistan more resilient.