With the rapid advancement of Web 2.0 technologies, Internet medicine, and mobile healthcare, the influence of the use of patient-oriented Mobile Internet-based Health Services (MIHS) on patient satisfaction and the electronic word-of-mouth (WOM) of health service agencies is becoming the focus of the academic research community. Many large hospitals, including some Internet hospitals, have provided various online healthcare service platforms that enable patients to expediently consult with physicians and obtain healthcare services in an online to offline format. The purpose of this study is to analyze the main mechanisms of how the features and users’ experiences of MIHS influenced patient satisfaction and continuous use behaviors of the system to generate additional WOM dissemination behaviors. Based on post-adoption behavior and Expectation Confirmation Model of Information Technology Continuance (ECM-IT), this study conducted an empirical study through data collection from users (patients) from a large hospital providing online healthcare services. A total of 494 pieces of data were collected and analyzed using SmartPLS2.0(SmartPLS GmbH, Hamburg, Gernmany). The results show that: (1) patient satisfaction with MIHS and their intentions to continue use of MIHS have significantly positive influences on WOM; (2) patient satisfaction with MIHS is positively influenced by perceived usefulness and confirmation of MIHS performance expectations; (3) and patient intentions to continue use of MIHS are also affected by some technology factors, such as facilitating conditions and perceived risk, as well as some subjective feelings, such as perceived usefulness and perceived interactivity. The results of this study provide important implications for both research and practice of public health.

Background: At present, Internet of Things technology has been widely used in various fields, and smart health is also one of its important application areas. Methods: We use the core collection of Web of Science as a data source, using tools such as CiteSpace and bibliometric methods to visually analyze 9561 articles published in the field of smart health research based on the Internet of things (IoT) in 2003–2019, including time distribution, spatial distribution, and literature co-citation analysis and keyword analysis. Results: The field of smart health research based on IoT has developed rapidly since 2014, but has not yet formed a stable network of authors and institutions. In addition, the knowledge base in this field has been initially formed, and most of the published literatures are multi-theme research. Conclusions: This study discusses the research status, research hotspots and future development trends in this field, and provides important knowledge support for subsequent research.

Internet healthcare is a crucial component of the healthcare industry’s digital transformation and plays a vital role in achieving China’s Healthy China strategy and promoting universal health. To ensure the development of internet healthcare is guided by scientifically sound policies, this study analyzes and assesses current policy texts, aiming to identify potential issues and inadequacies. By examining 134 national-level policy documents, utilizing multiple research methods, including policy bibliometrics, content analysis, and the PMC Index Model, the study investigates policy characteristics, distribution of policy instruments, and evaluation outcomes related to internet healthcare. The study findings reveal that internet healthcare policies place emphasis on enhancing service quality, driving technological innovation, and promoting management standardization. Although policy instruments align with the current stage of internet healthcare development in China, they are plagued by imbalances in implementation. While policies are generally well-formulated, there are discernible discrepancies among them, necessitating the reinforcement and refinement of certain provisions. Hence, it is imperative to strategically optimize the amalgamation and implementation of policy instruments while concurrently endeavoring to achieve a dynamic equilibrium in policy combinations. Furthermore, policymakers should diligently refine the policy content pertaining to its nature and effectiveness in order to fully maximize policy utility.

With the broadening application of the New Rural Cooperative Medical Scheme (NCMS), its role in patient satisfaction in rural China has shifted to be the focus of academic research. Based on a technology acceptance model, this study will investigate the factors and mechanisms influencing patient satisfaction on NCMSS in rural places in China. In this study, based on a technology acceptance model, we developed a model that is associated with the influencing factors, patients’ continued participation and patient satisfaction, and conducted an empirical analysis based on data collected from rural areas of China’s Anhui Province. A NCMS′s reputed reliability, value, and convenience played a key role in positively influencing patient satisfaction. However, long-term patient participation was not significantly influenced by other social factors. In order to increase patient satisfaction, NCMS policy and implementation procedure needs further government modification and innovation with the goal of improving the reimbursement ratio, reducing the financial burden, and improving patient convenience.

Affected by the normalization of the COVID-19 pandemic, people’s lives are subject to many restrictions, and they are under enormous psychological and physical pressure. In this situation, health information may be a burden and cause of anxiety for people; thus, the refusal of health information occurs frequently. Health-information-avoidance behavior has produced potential impacts and harms on people’s lives. Based on more than 120,000 words of textual data obtained from semi-structured interviews, summarizing a case collection of 55 events, this paper explores the factors and how they combine to lead to avoidance of health information. First, the influencing factors are constructed according to the existing research, and then the fuzzy set qualitative comparative analysis (fsQCA) method is used to discover the configuration relationship of health-information-avoidance behavior. The results show that the occurrence of health-information avoidance is not the result of a single factor but the result of a configuration of health-information literacy, negative emotions, perceived information, health-information presentation, cross-platform distribution, and the network information environment. These findings provide inspiration for reducing the adverse consequences of avoiding health information and improving the construction of health-information service systems.

We investigate the design problems of service parts network considering time-window-based service level and multiple operational flexibilities, which include no transshipment, unidirectional, and/or bidirectional transshipment, and the transshipment from support warehouse. We develop discrete event simulation models, a simulation optimization methodology and the measure indexes for system performance in order to analyze the effect of operational flexibility on system performance. Through a plenty of simulation experiments, we show that complete pooling policy is not necessarily appropriate for all spare parts networks, the performance of partial pooling policy may be close to or even outperform the one of full pooling policy in some cases. Besides, we also suggest some rough guidelines for the design of spare parts system.