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Purpose: The aim of the study is to consider the use of the Internet as a potential facilitator of positive health-related perceptions. Specifically, we propose that online health information seeking fosters positive perceptions of health. Using path modeling, we theorized several mechanisms through which information seeking could be conducive to positive health perceptions, which we conceptualized into the following four dimensions: (1) sense of empowerment in managing health, (2) self-reported ability to take better care of health, (3) sense of improved health-related quality of life, and (4) self-reported improvement of health.

Methodology: Our sample consisted of respondents who have used the Internet as a resource for health information (n = 710), drawn from the largest national probability-based online research panel. Our comparison subsample consisted of older respondents (age ≥ 60; n = 194). We used Internet-specific measures and employed structural equation models (SEM) to estimate the direct, indirect, and total effects of health-related use of the Internet on subjective health perceptions. Based on our review of the literature, competent health communication with healthcare providers and sense of empowerment in managing personal health were modeled as mediator variables. We assessed whether the proposed mediational relationships, if significant, differed across our indicators of positive health perceptions and whether any differential associations were observed among older adults. We run parallel models for each indicator of positive health perception.

Findings: Provider-patient communication informed by the Internet resources were perceived to impart a greater sense of empowerment to manage health among our respondents, which in turn, was associated with perceived contributions to better self-reported ability to provide self-care, increased health-related quality of life, and improvement in self-reported health. The SEM results revealed a good fit with our full sample and subsample.

Research Implications: Conceptualization of the multidimensional aspects of online health information seeking with separate multi-indicator analyses of the outcome variable is important to further our understanding of how technology may impact the pathways involved in influencing health perceptions and as a result health outcomes.

Numerous and diverse organizations have implemented lean principles and practices, which concentrate on improving the efficiency of business processes by reducing cost, waste, consumptions and effort. However, previous assessments have not focused on the leanness of the supply chain in a health-care setting. This paper aims to introduce a method for assessing the successful implementation of lean principles and tools in a supply chain. Furthermore, this paper validates the method in a health-care organization.

This paper starts with an extensive literature review on assessing leanness and using multi-grade fuzzy logic. Then, a conceptual model was developed to measure leanness. The conceptual model was validated by discussing the initial version with select academic experts, especially those who deal with leanness in health-care organizations. After responding to the experts’ valuable comments, the health-care organization that is the focus of this case study was chosen based on two criteria. The first criterion was the organization’s ability to participate in the study, and the second was the organization’s commitment to implementing lean principles. These criteria were important to ensure the organization had the necessary foundation for implementing change initiatives such as lean process improvements. Next, a multi-grade (multi-attributes) fuzzy logic was used for leanness measurement. A leanness index was calculated, and the results were validated using experts from the case study organization. Finally, the weaker areas of the organization’s processes were identified to point the way for further improvements.

The assessment indicated that the case study organization is not lean. The organization’s weaker attributes were identified, and improvements have been suggested.

This study focused on a single health-care organization, which was selected from a limited pool of potential organizations, namely, organizations which are accredited by both the Saudi Central Board for Accreditation of Healthcare Institutions and the Joint Commission International. The scope of future research should be extended to multi-case studies to enhance the findings presented in this paper. This paper’s findings can be used to help decision-makers at health-care providers to implement lean thinking in supply chain processes.

This research may be interest to practicing supply chain managers, as it proposes what enablers, factors and attributes should be emphasized in lean implementation. The proposed model can work as an assessment tool to identify the gap between the present level of leanness and the desired leanness state so the health-care organization can identify what can be improved. This model enables decision-makers in hospital supply chain to take suitable actions for improving lean implementation level.

This study makes an original contribution to the body of research concerning lean principles; the study developed a conceptual model for leanness assessment that can be applied to the supply chain of health-care organizations. Indeed, the conceptual model is likely to be useful for assessing leanness outside of the health-care field, which suggests avenues for future research.

The main purpose of this paper is to present lean implementation in hospital supply chain management (HSCM) and propose a new conceptual framework tailored specifically to the needs of Saudi health-care organizations.

This paper starts with an in-depth review of existing frameworks or models for lean implementation in health care in general and in HSCM specifically. Based on the literature studies and taking experts’ opinions into account, a new framework for lean implementation in the Saudi HSCM is presented.

A new lean implementation framework is offered to decision-makers in the health-care organization for implementing a lean approach in HSCM practices.

This study focused on health-care organizations, which were selected from hospitals operated by the Ministry of Health and only those hospitals that are accredited by both the Saudi Central Board for Accreditation of Healthcare Institutions and the Joint Commission International. The framework is limited to Saudi health care.

The lean supply chain management (LSCM) framework is easy to understand and use without much complexity. This simplicity makes the LSCM applicable in health-care settings. Further, LSCM was validated in three different hospitals, and it helped them to identify and improve their non-added activities, thereby readying them for lean deployment in HSCM.

Little attention has been paid to implementing a lean approach by health-care providers in developing countries. This study presents a new framework that is considered the first of its kind for implementing lean in HSCM in Saudi. This framework could help HSCMs’ decision-makers to implement lean successfully in HSCM practices.

This paper proposes an organizational change process to prepare physicians and other health professionals for their new roles in patient-centered medical homes (PCMHs). It provides physician-centered tools, models, concepts, and the language to implement transformational patient-centered medical care.

To improve care delivery, quality, and patient engagement, a systems approach to care is required. This paper examines a systems approach to patient care where all inputs that influence patient interactions and participation are considered in the design of health care delivery and follow-up treatment plans. Applying systems thinking, organizational change models, and team-building, we have examined the continuum of this change process from ideation through the diffusion of new methods and behaviors.

PCMHs make compelling business sense. Studies have shown that the PCMH improves patient satisfaction, clinical outcomes and reduces underuse and overuse of medical services. Patient-centered care necessitates transitioning from an adversarial to a collaborative culture. It is a transformation process predicated on strong leadership able to align an organization toward a vision of patient-centered care, creating a collaborative culture committed to health-goal achievement.

This paper proposes that the PCMH is a rigorous team-building transformational organizational change, a radical departure from the current hierarchical, silo-oriented, medical practice model. It requires that participants within and across health care organizations learn new skills and behaviors to achieve the anticipated quality and efficiency improvements. It is an innovative health care organization model of the future whose success is premised on teams supplanting the individual as the building block and unit of health care performance.

Examines how computers and quality assurance are being used to improve the quality of health care delivery. Traditional quality assurance methods have been limited in their ability to effectively manage the high volume of data generated by the health care process. Computers on the other hand are able to handle large volumes of data as well as monitor patient care activities in both the acute care and ambulatory care settings. Discusses the use of computers to collect and analyse patient data so that changes and problems can be identified. In addition, computer models for reminding physicians to order appropriate preventive health measures for their patients are presented. Concludes that the use of computers to augment quality improvement is essential if the quality of patient care and health promotion are to be improved.

The coronavirus (COVID-19) pandemic has led to a surge in demand for health-care facilities, medicines, vaccines and other health-care items. The purpose of this study is to investigate different facets of integrated Green Lean Six Sigma and Industry 4.0 approach in the context of COVID-19 for better healthcare management. Integrating Green Lean Six Sigma (GLSS) and Industry 4.0 (I4.0) has the potential to meet the modern demand of health-care units and also leads to improving the quality of inpatient care with better safety, hygiene and real-time diagnoses. A systematic review has been conducted to determine the tools/techniques, challenges, application areas and potential benefits for the adoption of an integrated GLSS-I4.0 approach within health-care facilities from the perspective of COVID management. Further, a conceptual framework of integrated GLSS-I4.0 has been proposed for better COVID management.

To conduct the literature review, the authors used the preferred reporting items for systematic reviews and meta-analysis and covers relevant papers from the arrival of COVID-19. Based on the systematic understanding of the different facets of the integrated GLSS-I4.0 approach and through insights of experts (academicians and health-care personnel), a conceptual framework is proposed to combat COVID-19 for better detection, prevention and cure.

The systematic review presented here provides different avenues to comprehend the different facets of the integrated GLSS-I4.0 approach in different areas of COVID health-care management. In this study, the proposed framework reveals that the Internet of Things, big data and artificial intelligence are the major constituents of I4.0 technologies that lead to better COVID management. Moreover, integration of I4.0 with GLSS aids during different stages of the COVID management, right from diagnosis, manufacture of items and inpatient and outpatient care of the affected person.

This study provides a significant knowledge database to the practitioners by understanding different tools and techniques of an integrated approach for better COVID management. Moreover, the proposed framework aids to grab day-to-day information from the affected people and ensures reduced hospital stay with better space utilization and the creation of a healthy environment around the patient. This inclusive implementation of the proposed framework will enhance knowledge base in medical areas and provides different novel prospects to combat other medical urgencies.

To the best of the authors’ knowledge, this study is the first of its kind to review different facets of the integrated GLSS-I4.0 approach with a view of the COVID health-care perspective and provides a conceptual framework.

The increased health-care costs, improved service quality and sustainability-oriented customer demand have forced the health-care sector to relook their current process. The present work deals with the identification, analysis and prioritization of just in time (JIT) enablers in the health-care sector.

JIT leads to waste reduction, improves productivity and provides high-quality patient care. The practical implementation of JIT depends on vital factors known as enablers. The enablers have been found through the comprehensive literature review and prioritized using responses from different health-care facilities of the national capital region of India. Grey relational analysis (GRA) has been used in the present study to rank enablers and ranks were further validated using the fuzzy technique for order of preference by similarity to ideal solution (TOPSIS) and sensitivity analysis.

It has been found that top management support, teamwork and real-time information sharing are the most significant enablers of JIT in health care with grey relational grades 0.956, 0.832 and 0.718, respectively. The corresponding closeness coefficients of the fuzzy TOPSIS for the enablers were found as 0.875, 0.802 and 0.688, respectively. The findings of the present research work will facilitate the health-care organizations to implement a comprehensive JIT approach that further leads to improved patient care at a low cost.

The present study is unique in terms of the exploration of the readiness measures or enablers of JIT using GRA and fuzzy TOPSIS. The findings of the present research work will facilitate the health-care organizations to optimize their resources for better patient care.

Green lean six sigma (GLSS) is a sustainable development approach that leads to improved patient care with improved safety and quality of service to patients. This study aims to identify, study, model and analyze GLSS success factors for the Indian health-care facility.

Interpretive structural modeling (ISM) and Impact Matrix Cross-Reference Multiplication Applied to a Classification analyses have been used to understand the hierarchical structure among the GLSS success factors. This enabled the development of dependency relationships between success factors, in particular, which factors support the development of other factors.

Specifically, this study found that the success factors “commitment of management” and “financial availability” are the most critical to GLSS implementation success, as they support the development of all other success factors. Meanwhile “embedding sustainable measures at each stage of the service”; “the capability and effectiveness of real-time data collection”; and “feedback and corrective actions” most directly support the GLSS implementation in the health-care facility and serve as the final indicators of implementation progress.

The major implication of this research work lies in suggesting a direction for practitioners to execute the GLSS approach through a systematic understanding of classification and structural relationships among different enablers. This study also facilitates health-care managers to explore different GL wastes in hospitals and challenges to sustainability pursuits in health-care that assist in an organization’s efforts toward sustainable development.

This research work is the first of its kind that deals with the identification and analysis of the prominent factors that foster the inclusive implementation of GLSS within the health-care facility.

The purpose of this review was to explore the literature for evidence of the impact of interprofessional practice models on health service inequity, particularly within community care settings for diverse ageing populations.

An integrative systematic literature review was conducted following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) framework combined with the EndNote reference management system. Following the collection and comprehensive screening process completion, a thematic analysis of the included articles occurred utilising within NVivo 12 software.

The review found that there was a paucity of evidence related to the relationship between interprofessional practice models (IPM) and health service equity for ageing populations. There is a need to improve collaborative practices between social care, public health care and health service providers to more clearly define team member roles. Key aspirations included the need for future innovations in health service delivery to place health service equity as a goal for interprofessional practice. There is a need to find ways to measure and articulate the impact for vulnerable populations and communities.

The review offers insight into the need for health care delivery models to place health service equity at the centre of the model design. In practice settings, this includes setting interprofessional team goals around achieving equitable care outcomes for, and with, vulnerable populations. Implications for practice relate to improving how interprofessional teams work with communities to achieve health care equity.

There is a consensus across the literature that there continues to be health service inequity, yet IPE and interprofessional collaborative practice (IPC) have been growing in momentum for some time. Despite many statements that there is a link between interprofessional practice and improved health service equity and health outcomes, evidence for this is yet to be fully realised. This review highlights the urgent need to review the link between education and practice, and innovative health models of care that enable heath care professionals and social care providers to work together towards achieving health equity for ageing populations. It is clear that more evidence is required to establish evidence for best practice in interprofessional care that has the mitigation of health care inequity as a central objective.

This paper aims to gain insights about information management practices in public health-care organizations in Kuwait and offer recommendations to improve these practices.

This study involves secondary analysis of quantitative and qualitative accreditation-related data pertaining to the compliance with the Information Management standard at seven public tertiary health-care facilities over two accreditation cycles.

Overall, organizations improved their compliance with the Information Management standard. However, issues exist with effectively and efficiently transmitting data, aggregating clinical and administrative data and using the information for both strategic planning and quality improvement initiatives.

The analysed data set does not provide information about the improvements done between the accreditation cycles. Caution should be applied before assuming generalizability of the results, considering the context and social constructs around the health-care system is essential.

Compliance with predetermined criteria through accreditation can improve information management practices. Without proper management of information at health-care facilities, achieving safe and effective patient care is futile. The role of health information technology (IT) should not be sidelined; robust health IT solutions can help support good information management practices thereby improving care quality and aiding health-care reform.

Concerning information management, health-care organizations providing focused services have clear advantages over organizations providing general care services. Considering the type of care organization (general vs specialized) can provide insights into how information management practices can affect the operations of the organization.