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OBJECTIVE: Aim: To improve the classification of current challenges in the healthcare sector and specify the areas of appropriate response measures.
METHODS: Materials and Methods: The work uses a systematic approach that enables the analysis of the study of individual challenges in the field of healthcare. The following scientific methods were used: analysis; dialectic; specification.
CONCLUSIONS: Conclusions: The classification of current challenges and mechanisms for responding to them in the field of healthcare has been improved according. Each of these areas of response to healthcare challenges is to some extent interrelated and therefore has a synergistic effect.

Nursing is considered indigent and oppressed because of uneven organizational hierarchies and unsatisfactory work environments. This study aimed to highlight the critical aspects of organizational culture in the nursing profession and, in general, those propagating hostile behaviours among female nursing staff that result in dissatisfaction and intention to leave the organization. A quantitative research approach was applied and a survey research strategy was used to collect the data. Convenience sampling was applied and data were collected from female nurses who were easily accessible and willing to participate in the research. A total of 707 questionnaires were collected from 14 hospitals and the data was analyzed using SmartPLS 4. Lack of administrative support and gender discrimination positively affected person-related hostility. In contrast, person-related hostility mediated the relationship between gender discrimination and lack of administrative support with the intention to leave. Direct or indirect person-related hostility factors can severely damage organizational reputation and quality and may cause the loss of employees with specific organizational knowledge and exposure. Losing an experienced employee to a newer one cannot replace the costs incurred on hiring, training, and providing knowledge to older employees. HR managers in organizations should devise strategies and policies that allow for the timely resolution of issues of nursing staff based on fair work performance.

BACKGROUND: For healthcare delivery to be optimally effective, health systems must possess adequate levels and we must ensure a fair distribution of human resources aimed at healthcare facilities. We conducted a scoping review to map the current state of human resources for health (HRH) in India and the reasons behind its shortage.
METHODS: A systematic search was conducted in various electronic databases, from the earliest available date till February 2024. We applied a uniform analytical framework to all the primary research reports and adopted the \"descriptive-analytical\" method from the narrative paradigm. Inductive thematic analysis was conducted to arrange the retrieved data into categories based on related themes after creating a chart of HRH problems.
RESULTS: A total of 9675 articles were retrieved for this review. 88 full texts were included for the final data analysis. The shortage was addressed in 30.6% studies (n = 27) whereas 69.3% of studies (n = 61) addressed reasons for the shortage. The thematic analysis of data regarding reasons for the shortage yielded five kinds of HRH-related problems such as inadequate HRH production, job dissatisfaction, brain drain, regulatory issues, and lack of training, monitoring, and evaluation that were causing a scarcity of HRH in India.
CONCLUSIONS: There has been a persistent shortage and inequitable distribution of human resources in India with the rural expert cadres experiencing the most severe shortage. The health department needs to establish a productive recruitment system if long-term solutions are to be achieved. It is important to address the slow and sporadic nature of the recruitment system and the issue of job insecurity among medical officers, which in turn affects their other employment benefits, such as salary, pension, and recognition for the years of service.

Collaborative innovation between hospitals and biomedical enterprises is crucial for ensuring breakthroughs in their development. This study explores the structural characteristics and examines the main roles of associated key actors of collaborative innovation between hospitals and biomedical enterprises in China. Using the jointly owned patent data within the country\'s healthcare industry, a decade-long collaborative innovation network between hospitals and biomedical enterprises in China was established and analyzed through social network analysis. The results revealed that the overall levels of collaborative innovation network density, collaborative frequency, and network connectivity were significantly low, especially in less-developed regions. In terms of actors with higher degree centrality, hospitals accounted for the majority, whereas a biomedical enterprise in Shenzhen had the highest degree centrality. Organizations in underdeveloped and northwest regions and small players were more likely to implement collaborative innovation. In conclusion, a collaborative innovation network between hospitals and biomedical enterprises in China demonstrated high dispersion and poor development levels. Stimulating organizations\' initiatives for collaborative innovation may enhance quality and quantity of such innovation. Policy support and economic investments, strategic collaborative help, and resource and partnership optimization, especially for small players and in less-developed and northwest regions, should be encouraged to enhance collaborative innovation between hospitals and the biomedical industry in China and other similar countries or regions.

China\'s health system is facing severe challenges from social transition and the double burden of population aging and non-communicable diseases. Addressing the tension between the public\'s increasing demand for health services and the limited availability of medical resources has become a critical issue for health care policymakers and medical insurance fund administrators. In promoting its medical insurance system reform, China is actively developing health technology assessment (HTA) with principles and applications adapted to the Chinese context. This study aims to analyze the evolution of HTA in China with a focus on context, actors, process, content, and challenges encountered through applying a modified verson of Walt and Gilson\'s policy triangle framework. Currently, HTA plays an indispensable part in the reform of China\'s health care and medical insurance system, especially in the formulation and adjustment of the National Reimbursement Drug List (NRDL). While HTA is increasingly used in China, there remain challenges, such as the slow development of HTA related disciplines, lack of an independent national HTA authority, and limited scope in the use of HTA. Despite the identified challenges, HTA has the potential to support a wide range of applications in China\'s health care sector, building on the progress achieved over the last three decades.

BACKGROUND: Interaction between researchers and policymakers is an essential factor to facilitate the evidence-informed policymaking. One of the effective ways to establish this relationship and promote evidence-informed policymaking is to employ people or organizations that can play the role of knowledge brokers. This study aims to analyze the communication network and interactions between researchers and policymakers in Iran\'s health sector and identify key people serving as academic knowledge brokers.
METHODS: This study was a survey research. Using a census approach, we administered a sociometric survey to faculty members in the health field in top ten Iranian medical universities to construct academic-policymaker network using social network analysis method. Network maps were generated using UCINET and NetDraw software. We used Indegree Centrality, Outdegree Centrality, and Betweenness Centrality indicators to determine knowledge brokers in the network.
RESULTS: The drawn network had a total of 188 nodes consisting of 94 university faculty members and 94 policymakers at three national, provincial, and university levels. The network comprised a total of 177 links, with 125 connecting to policymakers and 52 to peers. Of 56 faculty members, we identified four knowledge brokers. Six policymakers were identified as key policymakers in the network, too.
CONCLUSIONS: It seems that the flow of knowledge produced by research in the health field in Iran is not accomplished well from the producers of research evidence to the users of knowledge. Therefore, it seems necessary to consider incentive and support mechanisms to strengthen the interaction between researchers and policymakers in Iran\'s health sector.

Artificial intelligence has led to significant developments in the healthcare sector, as in other sectors and fields. In light of its significance, the present study delves into exploring deep learning, a branch of artificial intelligence.
In the study, deep learning networks ResNet101, AlexNet, GoogLeNet, and Xception were considered, and it was aimed to determine the success of these networks in disease diagnosis. For this purpose, a dataset of 1,680 chest X-ray images was utilized, consisting of cases of COVID-19, viral pneumonia, and individuals without these diseases. These images were obtained by employing a rotation method to generate replicated data, wherein a split of 70 and 30% was adopted for training and validation, respectively.
The analysis findings revealed that the deep learning networks were successful in classifying COVID-19, Viral Pneumonia, and Normal (disease-free) images. Moreover, an examination of the success levels revealed that the ResNet101 deep learning network was more successful than the others with a 96.32% success rate.
In the study, it was seen that deep learning can be used in disease diagnosis and can help experts in the relevant field, ultimately contributing to healthcare organizations and the practices of country managers.

The characteristic features of 21st-century corporate capitalism - monopoly and financialization - are increasingly being recognized by public health scholars as undermining the foundations of human health. While the \"vectors\" through which this is occurring are well known - poverty, inequality, climate change among others - locating the root cause of this process in the nature and institutions of contemporary capitalism is relatively new. Researchers have been somewhat slow to study the relationship between contemporary capitalism and human health. In this paper, we focus on one of the leading causes of death in the United States; cancer, and empirically estimate the relationship between various measures of financialization and monopoly in the US healthcare system and cancer mortality. The measures we focus on are for the hospital industry, the health insurance industry, and the pharmaceutical industry. Using a fixed effects model with different specifications and control variables, our analysis is at the state level for the years 2012-2019. These variables include data on population demographic controls, social and economic factors, and health behavior and clinical care. We compare Medicaid expansion states with non-Medicaid expansion states to investigate variations in state-level funded health insurance coverage. The results show a statistically significant positive correlation between the HHI index in the individual healthcare market and cancer mortality and the opioid dispensing rate and cancer mortality.