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This study aims to evaluate the dynamics between healthcare resource capacity expansion and disease spread. Further, the study estimates the resources required to respond to a pandemic appropriately.

This study adopts a system dynamics simulation and scenario analysis to experiment with the modification of the susceptible exposed infected and recovered (SEIR) model. The experiments evaluate diagnostic capacity expansion to identify suitable expansion plans and timelines. Afterwards, two popularly used forecasting tools, artificial neural network (ANN) and auto-regressive integrated moving average (ARIMA), are used to estimate the requirement of beds for a period when infection data became available.

The results from the study reflect that aggressive testing with isolation and integration of quarantine can be effective strategies to prevent disease outbreaks. The findings demonstrate that decision-makers must rapidly expand the diagnostic capacity during the first two weeks of the outbreak to support aggressive testing and isolation. Further, results confirm a healthcare resource deficit of at least two months for Delhi in the absence of these strategies. Also, the study findings highlight the importance of capacity expansion timelines by simulating a range of contact rates and disease infectivity in the early phase of the outbreak when various parameters are unknown. Further, it has been reflected that forecasting tools can effectively estimate healthcare resource requirements when pandemic data is available.

The models developed in the present study can be utilised by policymakers to suitably design the response plan. The decisions regarding how much diagnostics capacity is needed and when to expand capacity to minimise infection spread have been demonstrated for Delhi city. Also, the study proposed a decision support system (DSS) to assist the decision-maker in short- and long-term planning during the disease outbreak.

The study estimated the resources required for adopting an aggressive testing strategy. Several experiments were performed to successfully validate the robustness of the simulation model. The modification of SEIR model with diagnostic capacity increment, quarantine and testing block has been attempted to provide a distinct perspective on the testing strategy. The prevention of outbreaks has been addressed systematically.

The purpose of this paper is to explore tactical planning potential within hospital departments. The study had two objectives: first, to develop a framework for tactical capacity planning in healthcare departments by identifying and structuring essential components for healthcare capacity management; and, second, to identify context-specific requirements and functionality demands on tactical planning processes within healthcare.

A framework for tactical capacity planning was developed through a literature review. Additionally, an exploratory multiple-case study was performed, with cases from three Swedish hospital departments, which provide the opportunity to study framework applicability in its natural context.

Findings illustrate how an active tactical planning process can facilitate adjustments to capacity. However, the multiple-case study shows that there are contextual differences between departments, depending on available treatments and resources that affect capacity adjustments, and how the planning process activities should be structured.

This project develops a framework for a tactical capacity-planning process adapted to healthcare provider contexts. By developing the framework, based on the literature and tactical level planning processes within three Swedish hospital case studies, the authors bridge gaps between theory and application regarding healthcare capacity planning.

The impact of the COVID-19 pandemic on healthcare operations has raised questions about the applicability and capacity of the lean approach to respond to critical events. Thus, with a dearth of studies addressing this issue, this study aims to understand the role of lean in healthcare operations under the disruptive impact of the COVID-19 pandemic.

Drawing on a case study carried out in an emergency department in Brazil during the COVID-19 outbreak, the author presents results from semi-structured interviews and document analysis.

The results show three prominent themes that respond to this study's purpose: lean applicability during the pandemic, lean challenges during the pandemic and the pandemic impact on the lean processes. Furthermore, the study underscores that lean is not the panacea to operational problems caused by the pandemic in healthcare organisations, but it eases the impact on their operations. Finally, this study contributes to the discipline of operations management and highlights the need to rethink lean applications during disruptive events, focusing on flexibility, adaptability and patients' needs.

The literature addressing the pandemic impact on healthcare operations is still new and emerging; therefore, it is possible that some of the studies that are under review and could contribute to this study were not considered.

The study provides a better understanding of the lessons learned from the real-world experiences gained during the pandemic, helping managers to make informed decisions when developing contingency plans to improve healthcare readiness and responsiveness under crisis conditions (e.g. untenable demand and constrained capacity).

Given the contemporary nature of this pandemic, only few emerging studies addressing the impact of the pandemic on lean healthcare operations are available and scholars are calling for more empirical studies. Furthermore, there is an increasing criticism and scepticism about the applicability of lean in healthcare during a pandemic. Thus, this research both provides original contributions by responding to scholars' calls for novel research in this area and further contributes towards filling the void in the literature.

Efficiency and quality are primary factors for the survival of health systems. The evaluation of the efficiency of the healthcare system is a crucial component of promoting long-term health policy actions. Healthcare capacity indicators provide a basis for evaluating and comparing the performance of different healthcare organizations. Intrinsic quality indicators are Donabedian (1980)’s structural and process elements of quality of healthcare. This study aims to integrate capacity and intrinsic quality indicators of healthcare while measuring the efficiency of provinces by using radial and non-radial efficiency measurement techniques.

Efficiency analysis performed in Turkey from 2015 to 2020 by performing input-oriented radial, nonradial, and super-efficiency estimates for 81 provinces of Turkey by incorporating capacity and intrinsic quality indicators into the different model specifications.

Radial and nonradial efficiency results have an increasing trend over the study years obtained from the efficiency models showing high average scores obtained from the models that include intrinsic quality of care indicators. Statistically significant mean rank differences are observed between different radial efficiency models for all study years (p < 0.001). Negative and moderate level correlations were observed between radial efficiency results and quality of care indicators (r < 0.70).

Under long-term centralized health policies, increases in efficiency result in decreased intrinsic quality of care indicators. A better synthesis of health system capacity and intrinsic healthcare quality indicators is necessary to generate evidence-based health systems.

The paper aims to investigate the cardiology department’s operational system for improving flexibility by minimizing the patient waiting time and simultaneously maximizing the utilization of service capacity in an uncertain environment. This article also proposes a policy framework that suggests a pool of additional resources and inter-firm collaboration can boost healthcare service delivery excellence.

A discrete event simulation (DES) approach is followed for modeling patient flow and determining the service capacity to respond to demand variability and uncertainty. The model's outputs are used to minimize patient waiting time, maximize the utilization of the resources and match the service capacity with the patient demand.

This research has tested two hypotheses and proved that an increase in waiting time decimates the throughput rate, and additional resources deployment in bottleneck activity positively impacts the throughput rate. The simulated scenarios prescribe an enhanced service capacity with quality care and further contribute to operational performance in reduced waiting time and cost. The results indicate that flexibility reduces the patient waiting time and maximizes the throughput rate.

The study guides the healthcare policymakers to develop flexible competence and facilitate service mechanisms that are adaptive and robust while operating under a volatile environment. The article contributes to the healthcare literature that conjoins flexibility through simulation and resource utilization.

This research is based on real-life primary data collected from healthcare providers. This study adds value to the healthcare systems to adopt strategic decisions to build flexibility through resource allocation, sharing and coordinated care.

The COVID-19 pandemic is considered a major disruptive event of this decade, raising unforeseen socio-economic implications worldwide. This novel virus has increased the influx of patients in hospitals, and healthcare organisations are facing unprecedented constraints in their operations to deal with increased demand and pressed capacity. Thus, this article evaluates the impact of the COVID-19 pandemic on healthcare systems' demand, resources and capacity and provides research directions.

This is a viewpoint article and uses timely information on healthcare operations from both scholars and managers, published by diverse sources during the COVID-19 outbreak.

The authors discuss the focus on “flattening the curve of infection” as a measure to protect healthcare, delay the impact of increased demand and reorientate healthcare supply chain practices. Furthermore, the authors evaluate the role of lean practices on managing demand and capacity and improving quality across healthcare operations and supply chain. Finally, the authors suggest research directions on modern operational issues that emerged during this pandemic, such as discussions around the sustainability of lean post-pandemic, “just in time” practices, inventory trade-offs and lack of organisational responsiveness during untenable events.

In this article, the authors provide a contemporary assessment of the implications of the COVID-19 pandemic on healthcare operations, underscoring main economic and operational elements that can be affected, such as unforeseen demand, resources and capacity shortage. Therefore, the authors assess that healthcare organisations, practitioners and governments have to anticipate operational and economic impacts and, ultimately, to reassess their plans to deal with such adverse events.

To research involvement of healthcare staff in the UK and identify practical organisational and policy solutions to improve and boost capacity of the existing workforce to conduct research.

A mixed-method study presenting three work packages here: secondary analysis of levels of staff research activity, funding, academic outputs and workforce among healthcare organisations in the United Kingdom; 39 Research and Development lead and funder interviews; an online survey of 11 healthcare organisations across the UK, with 1,016 responses from healthcare staff included for analysis; and 51 interviews of healthcare staff in different roles from six UK healthcare organisations.

Interest in research involvement is strong and widespread but hampered by a lack of systematic organisational support despite national policies and strategies to increase staff engagement in research. While useful, these external strategies have limited universal success due to lack of organisational support. Healthcare organisations should embed research within organisational and human resources policies and increase the visibility of research through strategic organisational goals and governance processes. A systems-based approach is needed.

The research gathered data from a limited number of NHS trusts but these were purposively sampled to provide a range of different acute/community health service organisations in different areas. But data was therefore more detailed and nuanced due to a more in-depth approach.

The findings are relevant for developing policies and practice within healthcare organisations to support research engagement. The findings also set out key policy and strategic recommendations that will support greater research engagement.

Increased research activity and engagement in healthcare providers improves healthcare outcomes for patients.

This is a large scale (UK-wide) study involving a broad range of healthcare staff, with good engagement of nurses, midwives and Allied Healthcare Professionals who have not been previously achieved. This allowed valuable analysis of under-researched groups and comparisons by professional groups. The findings highlight the need for tailored action to embed research reporting, skills, professional development and infrastructure into organisational policies, strategies and systems, along with broader system-wide development.

Tactical capacity planning is crucial when hospitals must cope with substantial changes in patient requirements, as recently experienced during the Covid-19 pandemic. However, there is only little understanding of the nature of capacity limitations in a hospital, which is essential for effective tactical capacity planning.

We report a detailed analysis of capacity limitations at a Norwegian tertiary public hospital and conducted 22 in-depth interviews. The informants participated in capacity planning and decision-making during the Covid-19 pandemic. Data are clustered into categories of capacity limitations and a correspondence analysis provides additional insights.

Personnel and information were the most mentioned types of capacity limitations, and middle management and organizational functions providing specialized treatment felt most exposed to capacity limitations. Further analysis reveals that capacity limitations are dynamic and vary across hierarchical levels and organizational functions.

Future research on tactical capacity planning should take interdisciplinary patient pathways better into account as capacity limitations are dynamic and systematically different for organizational functions and hierarchical levels.

We argue that our study possesses common characteristics of tertiary public hospitals, including professional silos and fragmentation of responsibilities along patient pathways. Therefore, we recommend operations managers in hospitals to focus more on intra-organizational information flows to increase the agility of their organization.

Our detailed capacity limitation analysis at a tertiary public hospital in Norway during the Covid-19 pandemic provides novel insights into the nature of capacity limitations, which may enhance tactical capacity planning.

The importance of management capacity in the health sector has been increasingly recognized. The World Health Organization (WHO) (2008) has claimed that limited “management capacity” in low-income countries is one of the main obstacles toward achieving health-related goals. The aim of this study is to answer the research question: “What are the elements of management and leadership capacity of senior managers from the perspective of senior managers.”

Semi-structured individual interviews were conducted with 20 senior health managers. Sampling method was purposive. Data were collected using a researcher-made interview guide. The transcribed text was analyzed using framework analysis.

Five main themes emerged from the analysis are: (1) competencies required for managers; (2) selection and appointment of managers; (3) establishment of managers' database; (4) deployment of functional support system; and (5) environmental sensitivity. Each of these themes contains sub-themes.

Due to the COVID-19 pandemic, the interviews were conducted virtually. This may have had an impact on obtaining wealthy data because in a face-to-face interview, it is possible to question and answer, get additional explanations and understand the interviewee's mentality.

Extracting elements of management and leadership capacity helps managers to assess management capacity and leadership comprehensively and effectively. In addition, effective and useful operations can be done to strengthen the management and leadership capacity.

This is the first study that has identified the main elements of management and leadership capacity from the perspective of senior health managers in Iran. This article provides the components of the health system management and leadership capacity that can be used at top management level.

The purpose of this paper is to find determinants of the effectiveness of the business improvement processes that create value for services offered to patients in healthcare industries. The words patients and customers are used interchangeably throughout without any distinction. The features that distinguish medical services of different types and their inter-related factors are examined. The aim is to come up with a model of value vs cost that can help healthcare managers examine and use this exercise as an example of improvement micro-projects to help reduce cost and eliminate the patient’s dissatisfaction gaps.

The list of factors or attributes influencing the creation of value of a given medical process or a single procedure is described. The factors in the value creation are examined that will help in the categories for the risk analysis to determine the value-added benefits for the patient outcome. The cost analysis is approached from two angles to include: the cost of the service, and the costs of poor quality of service.

The model describes the value for the patient satisfaction depending on the quality level or grade of the treatment or procedures used and the cost factor. The analysis is done at several levels with special reference to case examples. A search for various analogous models in similar service providing situation used in business process management of other process types is highlighted and discussed.

The model is an interesting generic illustration for considering value vs cost in all patient care strategies. It enables the position of various medical procedures that can be applied to the same disease in order to keep the variations as minimum as possible within the quality control specification limits. The importance in different aspects of check-points or hold points for inspection is also discussed.