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This paper reports on an action research study based optimization project related to healthcare IT implemented on the Faroe Islands. The aims were to study what constitutes value in the public healthcare setting by applying and activating existing resources in the organization, hence answering the overall research question: How can a resource-based view (RBV) improve benefits management (BM) practices?

By applying a RBV to findings from an action research study of an optimization project of an integrated health information system (HIS), a framework of capabilities needed in a public HIS setting to create value was developed.

The theoretical contribution is a framework explaining how BM practices and, hence, value can be interrelated in a public healthcare IT system.

The study shows the need for academic IT professionals to structure and facilitate value generation, especially in the form of creating an innovative and learning environment in the form of an action research based project.

This study suggests which actors should be motivated and developed in order to ensure value in healthcare IT projects. Having value creation in mind, the model could have potentially broad applicability in a variety of healthcare IT settings.

The findings leads to better usage of public healthcare resources.

The present research studies real problems in a real setting, thus providing distinct ideas on how to improve public value creation by direct engagement of researchers.

The purpose of this study is to identify organisational homeostasis factors in the context of healthcare organisations and to develop a conceptual model for green transformation.

The organisational homeostasis factors were determined by review of literature study and the opinions of healthcare experts. Scheduled interviews and closed-ended questionnaires are employed to collect data for this research. This study employed “TISM methodology” and “MICMAC analysis” to better comprehend how the components interact with one another and prioritise them based on their driving and dependence power.

This study identified 10 factors of organisational homeostasis in healthcare organisation. Recognition of interdependence, hormesis, strategic coalignment, consciousness on dependence of healthcare resources and cybernetic principle of regulations are the driving or key factors of this study.

The study's primary focus was on the organisational homeostasis factors in healthcare organisations. The methodological approach and structural model are used in a healthcare organisation; in the future, these approaches can be applied to other industries as well.

The key drivers of organisational homeostasis and the identified factors will be better comprehended and understood by academic and important stakeholders in healthcare organisations. Prioritizing the factors helps the policymakers to comprehend the organisational homeostasis for green transformation in healthcare.

In this study, the TISM and MICMAC analysis for healthcare is proposed as an innovative approach to address the organisational homeostasis concept in the context of green transformation in healthcare organisations.

The purpose of this paper is to develop a framework for the improvement of healthcare services through an effective human resource management system. The case study highlights a need to analyze human resource management processes that exist in healthcare sector and suggests better ways to achieve higher levels of patient satisfaction.

The methodology consists of first developing a conceptual framework for human resource management in healthcare industry. The proposed framework comprises of three parts: inputs which include determining employee competencies, HR planning, job analysis, recruitment, selection, compensation benefits, pay/rewards, labor and employee relations; processes (training and development) focus on healthcare systems; and outputs which include quality, cost, technology, and responsiveness leading to patient satisfaction. Then, the framework has been studied with help of a case study conducted in a hospital in India.

The most important skill required for healthcare workforce to deliver high-quality care to patients is the human resource development. By appropriate workforce development, healthcare organizations can provide high-quality services to patients. Finally, it derives a set of conclusions from the case study research. Further research would be needed to validate the framework through empirical data.

This research is a new attempt as there is a limited research done earlier on the framework of human resource management in healthcare system and services. It is designed to facilitate training and development at both the individual and at organizational levels, advocating a balance between “healthcare employee” and “healthcare system.”

Healthcare organizations have addressed current error issues by adopting quality programs, which usually include strategic human resource management (HRM). However, little research has focused on the determinants of successful quality programs at healthcare organizations. The purpose of this paper is to examine the centrality of strategic HRM for addressing healthcare errors, error reduction barriers, quality management processes and practices, quality program results, and competitive advantage.

The methodology of this study involves the analysis of questionnaire data from the quality and/or risk directors of 587 US hospitals by factor analysis and regression analysis.

The findings focus on highly statistically significant relationships of strategic HRM with antecedent healthcare error sources, error reduction barriers, and quality management processes and practices, as well as the strategic HRM consequences of perceived quality program results and sustainable competitive advantage.

The limitations of perceptual data and common method variance are checked. Future research could investigate international effects.

The practical implications are that hospital errors can be successfully addressed with effective strategic HRM, quality management processes, and quality management practices.

The original contribution of this paper is the centrality of strategic HRM as a determinant of successful quality programs at healthcare organizations.

The purpose of this paper is to examine innovation in the resource-constrained context of India’s healthcare industry. It is argued that the process of innovation in addressing healthcare management challenges in such a context occurs through organisational ambidexterity and that human resource management (HRM) plays an important role.

A qualitative research methodology is applied to explore the role of HR practices in facilitating contextual ambidexterity and subsequent innovations in healthcare in India. The unit of analysis is the “case” of healthcare providers in India and in-depth interview and documentary data in two case sites are analysed to reveal the role of HRM in facilitating contextual ambidexterity and innovation. Data analysis was undertaken first at a within-case and then at a cross-case analysis level using interpretive manual coding based on how the data explained the role of HRM in delivering innovative outcomes and supporting organisational ambidexterity.

The authors found evidence of the use of sets of high-involvement HRM practices for exploration of new ideas and efficiency-driven HRM practices for creating contextual ambidexterity in the case organisations. Further, managerial/leadership style was found to play an important role in creating cultures of trust, openness, risk-taking and employee empowerment, supported by an appropriate mix of intrinsic and extrinsic rewards. Finally, training was also reported as being central to creating an ambidextrous context for delivering on various innovations in these healthcare providers.

This study represents an exploration of innovation in the context of India’s healthcare sector through intersecting literatures of ambidexterity, innovation and HRM practices. In light of the emerging economy research context, an important empirical contribution is palpable. Moreover, through a study design which included collecting data from multiple informants on the role of human resources in facilitating innovative outcomes, the authors reveal the role of HR-related initiatives, beyond formal HR practices in creating contextual ambidexterity. This study also reveals the degree to which contextual idiosyncrasies enhance our understanding of the role of HR in facilitating innovation in emerging economies.

Facilities management (FM) professionals state that adopting FM will positively support core service delivery and ensure customer satisfaction. Evidences of such claim are important as it will enhance the rationale for institutionalising prudent FM service quality in hospitals in Ghana. This paper aims to assess the mediating effect of healthcare FM service quality on patients’ satisfaction and overall healthcare delivery.

This is a cross-sectional study involving adult patients at the Physician outpatient departments and Polyclinics of Komfo Anokye, Tamale and Cape Coast Teaching hospitals in Ghana. A questionnaire survey using a well-structured five-point likert scale based on the SERVQUAL dimensions and Healthcare core service dimensions rooted in the FM framework was used to collect data from 660 patients. Smart PLS was used to analyse the data of 622 valid questionnaires.

The study results revealed that FM service quality mediates the relationship between patients’ satisfaction and three of the constructs under core healthcare delivery. That is, (the quality of healthcare delivery, the quality of healthcare personnel and the adequacy of healthcare resources) – surprisingly, the fourth construct (the quality of administration process) was not supported.

There is no or at best very limited studies on the contribution of healthcare FM on patients satisfaction of core healthcare delivery in Ghana. Therefore, this study will enrich and contribute to knowledge in healthcare FM in general and that of a developing African country in particular.

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.

Introduction: Coronavirus-19 (COVID-19) global outbreak poses a danger to millions of people’s health and the uncertainty and financial prudence around the world. Without a doubt, the sickness will place a tremendous strain on healthcare systems, which existing or traditional-based treatments cannot adequately handle. Only intelligence derived from diverse data sources can provide the foundation for rigorous clinical and social responses that optimise the use of constrained healthcare resources, create tailored patient treatment plans, educate policy-makers, and accelerate clinical trials

Purpose: This chapter aims to incorporate innovative practices of artificial intelligence (AI) into local, national, and global healthcare systems that can save lives of people and as well helps in human capital management ways that may be deployed rapidly and effectively with minimal errors.

Methodology: AI technologies and tools play a crucial part in COVID-19 crisis response by assisting with the virus discovery, early detection, and the development of effective medications and therapies. In this chapter, significant issues related to COVID-19 and how they may be addressed by applying HRM practices with recent advances in AI. Also, through a literature review of the recent studies implemented in a similar context, an AI solution is proposed by formulating a conceptual model.

Findings: This chapter offers that the latest AI techniques can assist policy-makers in implementing modern human capital management practices to fight against COVID-19. The goal is to remotely monitor patients utilising gadgets that are embedded with state-of-the-art medical technology. To limit hospital visits, or at least cut them down to a minimum, on the one hand, the health clinic also wants to deliver reliable health information to the doctors before or during virtual consultations.

Introduction: Healthcare facilities have witnessed deterioration, limited employee engagement, and communication gaps due to a lack of wireless technology. The Internet makes work and life quicker and more intelligent. The Internet of Things (IoT) is a scheme of interconnection equipped with unique identifiers in recent years. Artificial intelligence (AI) and IoT advancement allow employees to develop competent and predictive services and solutions in human resource (HR) practices. This chapter has been formulated to summarise and classify the existing research and better understand the past, present, and future of employee engagement by improving IoT interrelated devices in the healthcare industry.

Purpose: This study aims to categorise and overcome the challenges involved in HR practices. Effectively embracing IoT application-connected devices in the healthcare industry can enhance human resources management’s (HRM) role and measure performance assessment to improve employee engagement and productivity.

Methodology: In this study, the authors develop propositions dependent on a theory-based review. A systematic analysis was applied to minimise the challenges of HRM. The subject-related articles from different journal sources, like Scopus, Emerald, Web of Science, Springer, etc., were analysed based on engagement criteria. It was graphically recorded in a collective and informative way to emphasise the review outcomes. The study has presented the positive impacts of AI and IoT on engagement in health care.

Summary: This chapter accumulated theory-based knowledge about healthcare employee engagement and how IoT-based technology like AI can optimise employees’ engagement effectively. Further, it draws comparative benefits for a workforce to execute performance advancements and create future progressive aspects for healthcare employees.