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Resilient health facilities, particularly hospitals, are critical for a responsive local health system in post-disaster settings. The purpose of this paper is to look at the experiences of two hospitals (public and private) in Tacloban City, Philippines in the aftermath of a super typhoon and their respective delivery of health services in such setting.

It described the impact of Typhoon Haiyan on health services delivery capacity and the factors instrumental in the resilience of the case hospitals. Lessons learned from the hospitals’ experiences, both at the level of the hospital staff and the institution, were also drawn. Disaster preparedness of case hospitals were assessed along several domains of resilience. Key informant interviews among stakeholders were conducted with key themes on disaster resilience extracted.

Disaster preparedness scores for case hospitals were different from each other and were reflected in their experiences of health services delivery in the aftermath of the disaster.

This study on hospital resilience of two case hospitals, in the aftermath of Typhoon Haiyan, is exploratory in nature. The retrospective design of the study made it prone to recall bias. Further, the use of self-report measures for hospital resilience needs to be validated by more objective measures. The lack of baseline pre-disaster resilience indicators and the unpredictability of disasters could perhaps be addressed by a longitudinal study on hospital resilience in disasters in the future.

This study revealed several key findings. Some of the themes that emerged were: public health in disaster is the responsibility of both public and private hospitals; need for flexibility in disaster preparedness and planning, disaster resilience is an emergent process not a static construct, chaos results from zeal without coordination, and the need for integration of disaster preparedness in daily processes and structures of hospital facilities.

Tehran’s health-care system is growing, yet it lacks emergency planning procedures. The premise of this study is that the urban environment around a hospital is just as robust as the hospital itself. This study aims to look at hospital resilience in an urban setting to see where it may be improved to keep the hospital operational during a disaster.

The urban resilience (UR) of Amir-Alam Hospital was analyzed in this study using a customized version of the United Nations Office for Disaster Risk Reduction’s City Resilience Profiling Tool. The 34 indications were broken down into five categories.

The result revealed that the hospital’s UR score was 51.75 out of 100, indicating medium resilience. The results of this study enable the decision-makers to determine what measures they may take to improve the hospital’s resilience in terms of its surrounding urban context.

The originality of this research is based on the surrounding urban environment’s resilience as an integral part of hospital resilience.

Resilient hospitals have the vital role in reducing mortality, severity of injuries by providing required emergency services during accidents and disasters. This study aims to identify and prioritize key indicators on hospital resilience.

This cross-sectional study was conducted in 2019. The draft of the indicators obtained from the systematic review of the previous study was finalized, with three expert panel sessions and 14 experts in resilience fields. The outputs of these sessions were divided into three domains including constructive resilience, infrastructural resilience and administrative resilience, 17 sub-domains and 71 indicators. Then fuzzy analytic network process method was used to weight and prioritize the final indicators of hospital disaster resilience.

Administrative resilience, logistic and financial management and strategic outsourcing agreement allocated the highest weight as domain, sub-domains and indicators, respectively. The weight of each sub-domain and indicator was also determined.

Investigating the weight of domains, sub-domains and indicators shows the importance of managerial and operational issues in hospital resilience. By using the indicators and relative weights, a tool for measuring hospital disaster resilience can be created in further studies. The output of these assessments is effective in promoting safety and increasing awareness of hospital managers and health policymakers.

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 paper is to explore the extent to which hospital disaster planners and managers understand the role of built infrastructure in delivering effective healthcare services during extreme weather events (EWEs). There is substantial evidence to indicate that many hospitals are vulnerable to EWEs. This is alarming given community reliance on hospitals during times of natural disaster and the predicted increase in the frequency and intensity of EWEs.

In this paper, resilience and learning theories are combined to produce a new conceptual model which illustrates how hospital disaster managers learn about the relationship between health outcomes and built infrastructure during EWEs to build future hospital resilience. In this paper, the first part of the conceptual model, concerning the development of disaster management plans is explored and refined using a thematic content analysis of 14 Australian hospitals’ disaster plans and supplementary plans.

The findings indicate high variability of understanding about the role of built facilities in health outcomes during an EWE. There appears to be a widespread and highly questionable assumption in the health disaster planning community that hospital built infrastructure is highly resilient to EWEs. This means that many hospitals will not be unaware of the risks that their buildings pose in the delivery of healthcare services to the community during an EWE and how to manage those risks effectively.

The theoretical framework presented in this paper provides new insights which will enable hospital infrastructure resilience to be better integrated into health service disaster risk planning and preparedness. The findings can help hospital disaster managers learn about and adapt their built environment to changing healthcare needs during EWEs.

By integrating learning and resilience theories in a built environment context, this paper provides new insights, both theoretical and practical, into the important role of hospital infrastructure in planning for EWEs.

Singapore’s health-care infrastructure is suffering from increasing pressure due to population growth and a rapidly ageing population. This paper aims to assess the resilience of hospital facilities in Singapore’s health-care industry. The main attribute of resilience is adaptive capacity, which is also associated with vulnerability. Vulnerability is defined as the system’s susceptibility to threats that cause damage and affect its normal performance, while resilience is defined as the ability to anticipate and the capacity to change before a setback becomes obvious.

A questionnaire survey was adopted for the study, with respondents drawn randomly from both the health-care professionals as well as the public. The questionnaire survey results from 83 respondents, consisting of 31 health-care professionals and 52 members of the public, are analysed in this pilot study.

Ninety-one per cent of the respondents perceived bed shortage as an indication of vulnerability. The survey results showed that bed shortages, high bed-occupancy and long waiting hours were perceived as indications of vulnerability. The top three vulnerabilities identified were Singapore’s ageing population, the fast-growing population and the increasing trend of chronic diseases in its population. From the results, respondents appeared doubtful about the resilience of Singapore’s public hospitals. On a positive note, Singapore residents are still, relatively speaking, confident of the quality of Singapore’s health-care delivery system, which can be translated as one with relatively strong community resilience.

In conclusion, it appears fair to say that the public perceive hospital facilities in Singapore’s health-care industry to be reasonably resilient, but expect further improvements to ensure continuous delivery of quality health-care services.

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.

The purpose of this study is to investigate factors contributing to the development of resilience capacity and capability of industrial clusters in order for them to mitigate, absorb and adapt to the impacts of Iran’s economic sanctions.

The Hospital Equipment Cluster of Tehran (HECT) was selected as the case study for the research. The data were collected using the library and field research and analyzed using the thematic analysis method.

The key dimensions of resilience were grouped into socio-cultural, economic, technical-organizational and institutional–infrastructural categories. Based on the “complex adaptive system” theory, each of the abovementioned dimensions were investigated on different levels of analysis, including individual, enterprise, cluster, government and environment. Eventually, recommendations were made by considering required capacities and capabilities of resilience of the hospital equipment sector toward economic sanctions.

The resilience toward economic sanctions, as an extensive disaster, is a considerably new subject and few studies have been performed in the field. This research provides practical solutions for local policy-makers, authorities and enterprise managers.

The learning outcomes are as follows: identify and evaluate the impact of risk factors for health-care organizations during crisis; evaluate the role of different organizational factors in building resilient health-care organizations; define organizational resilience in a health-care context; and apply the effect-strategy-impact resilience framework.

September 2022 found Ranjan Thakur, the Hospital Director at Manipal Hospital, Jaipur (MHJ) reflecting on MHJ’s resilience toward future health-care crises. MHJ was established in the capital city Jaipur of the Indian state of Rajasthan in 2014, as a 225-bed multispecialty unit of the nationally renowned Manipal Health Enterprises Ltd. As the Hospital Director, Thakur had been responsible for navigating his team and the hospital through the multiple health-care related challenges exacerbated by the multiple waves of the Covid-19 pandemic in a large Indian state with a sizable rural and semiurban population. Though Thakur and his team of doctors had worked through the vulnerabilities of their health-care ecosystem, mapping the risks and mitigating the same, Thakur asked himself if they had done enough. He wondered how a health-care institution such as theirs could sustain effective health-care delivery during future crises situations to deliver high-quality health care to the vulnerable communities. Had they effectively mapped MHJ’s vulnerabilities and built resilience into the hospital’s functioning? The backdrop of the case is public health in the state of Rajasthan (Jaipur), and the case is rich in detailing social factors such as behavior issues of patients, doctors and nurses; operational factors such as standardization of treatment and standard operating procedures, availability of resources, clinical concerns; leadership and management of the hospital through the pandemic. This case can be used by instructors to teach organizational resilience building in the health-care context.

Graduate- and executive-level courses in managing change during crisis in health-care context; health-care management/leadership.

Teaching notes are available for educators only.

CSS 7: Management Science.

The purpose of this paper is to: explore major and potential challenges facing healthcare facilities operation specifically those related to utility supplies; and quantify the impact of utility supplies interruption on the operation of healthcare facilities through the development of an estimation model.

A pluralistic qualitative and quantitative research approach benefiting from an online computer program that applies the discriminant function analysis approach. Information was collected from 66 hospitals following three major earthquakes that struck northeast Japan in 2003.

Analysis demonstrated that healthcare utilities face three major challenges: vulnerability of infrastructure to natural hazards; low performance of alternative sources; and lack of consideration of healthcare utility supplies in resilience codes and legislations. The study also proposed a method to estimate the impact of utility interruption of healthcare facilities. A model has been developed for the case study hospitals in Northern Japan following three major earthquakes in 2003.

The findings are expected to raise the awareness of the critical role utilities play for the operation of healthcare facilities which will potentially lead to upgrading resilience codes and legislations. The findings are also expected to pool the literature with more information about the resilience of healthcare utility publications.

The topic and issues discussed in this research are original based on authors’ investigations following three major earthquakes that took place in northeast Japan. The study followed a statistical approach in addressing the inter-relationship between the utility systems post disasters to develop an innovative unique index to predict the impact of utility shortage on healthcare.