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This study aims to deepen the understanding of the challenges and implications entailed by deploying mobile clinics in conflict zones to reach populations affected by violence and cut off from health-care services.

This research combines an integrated literature review and an instrumental case study. The literature review comprises two targeted reviews to provide insights: one on conflict zones and one on mobile clinics. The case study describes the process and challenges faced throughout a mobile clinic deployment during and after the Iraq War. The data was gathered using mixed methods over a two-year period (2017–2018).

Armed conflicts directly impact the populations’ health and access to health care. Mobile clinic deployments are often used and recommended to provide health-care access to vulnerable populations cut off from health-care services. However, there is a dearth of peer-reviewed literature documenting decision support tools for mobile clinic deployments.

This study highlights the gaps in the literature and provides direction for future research to support the development of valuable insights and decision support tools for practitioners.

This study aims to assess the accessibility of women to health-care facilities in the rural areas with a view to unties possible recommendation of enhancing its service delivery. It provides an insight into the levels of satisfaction of the services provided by conventional health-care providers in the area where the majority in the developing countries concentrated. The study unravels the reasons for the low patronage of regular health-care facilities to boost unscientific ones by rural women.

The study relies on extensive field work conducted in the study area mainly rural nature. data was sourced by questionnaire, mainly administered on the women in the area and field observation. Data collected were analysed using descriptive statistics.

The paper provides information on the low socio-economic attributes of rural women. It is further showed that medical facilities and personnel were not relatively available and performed in health-care centres to the satisfaction of the users. Poor roads, poor human relation, low quality of services, inadequate medical personnel and drug shortage hindrance to women accessing appropriate health-care facilities in the rural areas. Rural women, therefore, opted for self-medication folk medicine, disguising and spiritual remedies. Health-care facilities suffered poor patronage as a result of these obstacles The study recommended proper overhauling of health-care facilities.

The paper builds a relationship on the reasons for health-care facilities neglect in the rural area in developing countries and revealed unscientific means by which health care needs are realised rural women.

Virtual and augmented reality solutions in medicine are generally applied in communication, training, simulation and therapy. However, like most new digital developments, these technologies face a large number of institutional barriers that are inherent to the medical sector.

Following Richard Scott's view on institutions and organizations, a multiple case study is used to analyze regulatory, normative and cultural-cognitive institutional pillars in the medical industry.

The results of the study demonstrate that (1) the regulatory pillar inhibits the advancement of new technologies in the approach to treatment, regulation of patient data, educational processes for medical staff, and information and financial flows; (2) the number of barriers increases based on the solution's level of disruption and the number of variable conventional procedures; (3) trust between participants in the medical industry plays an important role in introducing new technologies; (4) new participants need to address certain pillars depending on the area of application.

The authors discuss top-down and bottom-up approaches for overcoming institutional barriers when implementing augmented and virtual reality solutions for companies focusing on the medical market.

The purpose of this study is to examine the role of artificial intelligence (AI) in transforming the healthcare sector, with a focus on how AI contributes to entrepreneurship and value creation. This study also aims to explore the potential of combining AI with other technologies, such as cloud computing, blockchain, IoMT, additive manufacturing and 5G, in the healthcare industry.

Exploratory qualitative methodology was chosen to analyze 22 case studies from the USA, EU, Asia and South America. The data source was public and specialized podcast platforms.

The findings show that combining technologies can create a competitive advantage for technology entrepreneurs and bring about transitions from simple consumer devices to actionable healthcare applications. The results of this research identified three main entrepreneurship areas: 1. Analytics, including staff reduction, patient prediction and decision support; 2. Security, including protection against cyberattacks and detection of atypical cases; 3. Performance optimization, which, in addition to reducing the time and costs of medical procedures, includes staff training, reducing capital costs and working with new markets.

This study demonstrates how AI can be used with other technologies to cocreate value in the healthcare industry. This study provides a conceptual framework, “AI facilitators – AI achievers,” based on the findings and offer several theoretical contributions to academic literature in technology entrepreneurship and technology management and industry recommendations for practical implication.

Football supporters have safety and security guarantees, but protection rights abuses in the Kanjuruhan Indonesia stadium tragedy. This study aims to create a design regulation to protect the protection rights of football supporters in the world.

This is a socio-legal study. The law, cases and conceptual methods are the research methodologies. The process of collecting data uses a literature review. The gathered facts and information are next examined both qualitatively and descriptively.

The tragedy that occurred at the Kanjuruhan Stadium is the worst tragedy of Indonesian football. The key factor behind the tragedy was the mechanism for securing football matches regulated in the acts and regulations in Indonesia, which were out of sync and contrary to Federation Internationale de Football Association (FIFA) regulations. The Indonesian National Police Regulation (Perkapolri) permits the use of firearms, tear gas and force, whereas this is actually prohibited by the FIFA Stadium Safety and Security Regulation (FSSSR). In this tragedy, protection rights abuses occurred. Then, the Indonesian Sport Act (ISA) 2022 does not yet regulate crucial matters, especially safety and security in sports competitions to protect players, referees, spectators/supporters and other match organizers.

This study examines various regulations relating to sports, especially football matches with a focus on studies in Indonesia.

The results of this research help realize protection rights for football supporters and create designs regulation to protect protection rights for football supporters worldwide.

The design regulation recommended in this study is useful for preventing disasters in football and protecting football supporters, players, referees and parties in matches from acts of violence.

Learning from the Kanjuruhan tragedy, to prevent this from happening again, the adoption of the FSSSR into Indonesian legislation, created the Safety of Sports Grounds Act and the establishment of the Indonesian Football Policing Unit are recommendations that need to be considered.

Hearing aid (HA) using is an option for enhancing the sound transmission. It effectively improves hearing ability during communication. In Thailand, two-third of hearing impaired persons were elders, while the utilization of an HA was low. This study aims to explore how the decision was made on the use of HA among the hearing impaired elderly.

Mixed-methods sequential explanatory design was used by starting with a retrospective study to identify the prevalence of HA use and influencing factors including demographic and clinical data. Total, 199 elders with moderate to severe hearing impairment were enrolled. Qualitative data collection for thematic analysis was conducted by interviewing 28 participants to reveal elders’ subjective reasoning.

It was found that 25.63% of elders used an HA, whereas age, types of health insurance and disability registration were significant influencing factors. Six themes of subjective reasoning emerged including social activities, disability perspective, social support, medical and personnel, rights and accessibility and benefit of HA, which determined the elders’ decisions on HA use.

This study broadened insights of the elders’ decision process on HA use, which was mutually made by both health-care professional and care recipients. The elders themselves would make the final decision. Not only objective indications but also subjective reasoning of users played significant roles on HA acquisition. To enhance HA use among hearing impaired elders, patient engagement in decision-making was crucial while hearing counselling and elimination of reimbursement barriers became essential.

This study presented the experience of improving the nucleic acid sample collection and transportation service in response to the epidemic. The main purpose is that through intelligent path planning, combined with the time scheduling of sample points, the process of obtaining results to determine the state of COVID-19 patients could be speeding up.

The research optimized the process, including finding an optimal path to traverse all sample points in the hospital area via intelligent path planning method and standardizing the operation through the time sequence scheduling of each round of support staff to collect and send samples in the hospital area, so as to ensure the shortest time in each round. And the study examines these real-time experiments through retrospective examination.

The real-time experiments' data showed that the proposed path planning and scheduling model could provide a reliable reference for improving the efficiency of hospital logistics. Testing is a very important part of diagnosis and prompt results are essential. It shows the possibility of applying the shortest-path algorithms to optimize sample collection processes in the hospital and presents the case study that gives the expected outcomes of such a process.

The value of the study lies in the abstraction of a very practical and urgent problem into a TSP. Combining the ant colony algorithm with the genetic algorithm (ACAGA), the performance of path planning is improved. Under the intervention and guidance, the efficiency of hospital regional logistics planning was greatly improved, which may be of greater benefit to critical patients who must go through fever clinic during the epidemic. By detailing how to more rapidly obtain results through engineering method, the paper contributes ideas and plans for practitioners to use. The experience and lessons learned from Tongji Hospital are expected to provide guidance for supporting service measures in national public health infrastructure management and valuable reference for the development of hospitals in other countries or regions.

The primary aim of this research was to investigate the mediating effect of the decision-making structure on the relationship between perceived environmental uncertainty and hospital performance.

Online and manual survey questionnaires were used to collect data in this study. The target population of this study consists of all middle managers within 11 COVID-19 referral hospitals in Surabaya. A total of 189 responses were collected, however, 27 incomplete responses were excluded from the final dataset. Data was analyzed using SEM-PLS.

The study's findings indicate that decision-making structure plays a role in mediating the link between perceived environmental uncertainty and hospital performance assessed via the Balanced Scorecard, highlighting the significance of flexible decision-making processes during uncertain periods. Moreover, based on our supplementary test, respondents' demographic characteristics influence their perceptions of hospital performance.

Hospital administrators can consider the significance of decision-making structures in responding to environmental uncertainties like the COVID-19 pandemic. By fostering adaptable decision-making processes and empowering middle managers, hospitals may enhance their performance and resilience in challenging situations. Additionally, based on supplementary tests, it is found that differences in the perception of the three Balanced Scorecard perspectives imply that hospitals categorized as types A, B, C, and D should prioritize specific areas to improve their overall performance.

This research adds substantial originality and value to the existing body of knowledge by exploring the interplay between decision-making structures, environmental uncertainty, and hospital performance. It contributes to the literature by specifically focusing on the Covid-19 pandemic, a unique and unprecedented global crisis.

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.

Drawing on signaling theory and the “signal transmission–interpretation–feedback” framework, this study explores the effects of perceived distributive justice and respect from managers on nurses' work meaningfulness and work effort in public hospitals in China and examines the moderating role of work self-efficacy.

We collected 341 paired questionnaires for nurses and managers from four public hospitals in China. The data were analyzed by structural equation modeling and hierarchical regression analysis.

Distributive justice and managers' respect for employees are positively related to work meaningfulness. Additionally, work self-efficacy negatively moderates this relationship. Work meaningfulness is positively related to work effort and fully mediates the relationships between perceived distributive justice and respect from the manager and work effort.

This study provides useful insights for healthcare organizations to improve nurses' work meaningfulness from the perspectives of their material and emotional needs, according to their work self-efficacy characteristics, thus promoting their work effort. The findings offer important guidance for improving the effectiveness of grass-roots human resources to cope with unpredictable situations such as the COVID-19 pandemic.

This study focuses on the organization's environmental factors that affect the primary staff's work meaningfulness. Further, it analyzes the differences in signal interpretation among nurses with different work self-efficacy characteristics, thus providing new insights into work meaningfulness. Through manager–nurse pairing data, it reveals the important role of work meaningfulness in motivating work effort.