15 September 2025, Volume 39 Issue 9
    

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  • LI Tainan, CHEN Ying, QU Keman, SU Yunhan, ZHAO Jing
    Soft Science of Health. 2025, 39(9): 1-6. https://doi.org/10.3969/j.issn.1003-2800.2025.09.001
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    Objective To analyze the historical evolution and policy structure of centralized drug procurement, and to propose suggestions for optimizing the related policies. Methods From the perspective of policy tools, a three-dimensional analytical framework was constructed by integrating the dimensions of stakeholders and policy evolution. The content analysis method was employed to conduct a three-dimensional quantitative analysis of policy texts. Results Cross-analysis of policy tools and stakeholder dimensions revealed that the content related to the government level in the policy text accounted for the highest proportion (38.68%); the content related to medical institutions ranked second (26.13%); and the content related to patients was the least (4.53%). The cross-analysis of the policy tools and policy evolution dimensions revealed that in the three stages of policy evolution, the environmental-oriented policies accounted for the highest proportion, while the demand-oriented policies accounted for the lowest proportion. The cross-analysis of stakeholders and the dimension of policy evolution revealed that medical institutions were most involved, with proportions of 29.35%, 39.13% and 31.52% at different stages, respectively. The cross-analysis of the three dimensions found that the use of policy tools for each stakeholder increased in the in-depth development stage and the comprehensive promotion stage, but the centralized drug procurement policies issued in the comprehensive promotion stage still focused on environmental-oriented tools, and the coverage of drug distribution enterprises and patients was still relatively limited. Conclusions The structure of the use of policy tools is unbalanced, and there is a gap in the degree of participation of different subjects. Therefore, it is necessary to establish and improve the dynamic adjustment mechanism of the centralized drug procurement.
  • SUN Jingkai, MA Boyi, LI Zhiyong, SUN Xiaoyan, LIN Bin, QI Haiyan
    Soft Science of Health. 2025, 39(9): 7-11. https://doi.org/10.3969/j.issn.1003-2800.2025.09.002
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    Objective This study understands the current status of inpatient services and medical costs in a stomatological specialty hospital,and analyzes all inpatient DRG groups in a stomatological specialty hospital from two dimensions: healthcare service capabilities and medical cost management capabilities. Superior and inferior groups of the stomatological specialty hospital are identified from the overall operation level, and management recommendations are proposed. Methods Data of the front page of medical records and cost structure of inpatients with medical insurance from January 1, 2023 to December 31, 2023 were collected. Indicators reflecting healthcare service capabilities and cost management capabilities were selected. The Entropy-weighted TOPSIS method and Boston Matrix were applied to calculate scores and distribution patterns of DRG groups. Results The results of entropy-weighted TOPSIS analysis revealed that from the evaluation of medical service capabilities, DG29 (Ci=0.80), DA19 (Ci=0.46), and DG19 (Ci=0.35) demonstrated superior healthcare service capacities. From the evaluation of cost management capabilities, DZ13 (Ci=0.84), JV1A (Ci=0.83), BY19 (Ci=0.82), DR11 (Ci=0.82), and QR13 (Ci=0.82) had better medical cost management capabilities. The results of Boston Matrix indicated that the main problems of the inpatient services and operation of the stomatological specialty hospital were concentrated in the prevalence of “dog” and “question mark” categories. Conclusions Compared with general hospitals, the inpatient departments in the stomatological specialty hospital are more finely divided. However, the DRG grouping fails to adequately reflect these distinctions, resulting in weaker cost control in groups with better medical service capabilities. Furthermore, the limited capacity to treat diseases from other specialties leads to a higher proportion of patients discharged without undergoing surgery due to contraindications, which explains the prevalence of “dog” and “question mark” categories identified in the Boston Matrix analysis.
  • ZHONG Sisi, CUI Wenhui, CHEN Junyi, YE Ting
    Soft Science of Health. 2025, 39(9): 12-17. https://doi.org/10.3969/j.issn.1003-2800.2025.09.003
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    Objective This study aims to identify and analyze the key factors and behavioral mechanisms that determine the provision of integrating medical and preventive care services by family doctors, offering references for the formulation of intervention measures and the enhancement of integration of medical and preventive care policies. Methods Guided by the theory of planned behavior, a questionnaire survey was conducted among 180 family doctors from ten community health centers in Nanjing. Structural equation modeling was employed for empirical analysis. Results Perceived benefits (β=0.315, P<0.001), behavioral attitudes (β=0.191, P<0.001), subjective norms (β=0.166, P<0.01), and perceived behavioral control (β=0.188, P<0.001) had a positive impact on the willingness to integrate medical and preventive care. The willingness to integrate medical and preventive care (β=0.507, P<0.001) and perceived behavioral control (β=0.257, P<0.001) had a significant positive impact on the behavior of integrating medical and preventive care. Conclusions Family doctors' behaviors of integrating medical and preventive care are directly influenced by the positive effects of behavioral intentions and perceived behavioral control. Perceived benefits, behavioral attitudes, subjective norms, and perceived behavioral control all have a positive impact on behavioral intentions and indirectly influence the behaviors of integrating medical and preventive care through behavioral intentions.
  • SONG Haoyang, SHEN Lining
    Soft Science of Health. 2025, 39(9): 18-25. https://doi.org/10.3969/j.issn.1003-2800.2025.09.004
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    Objective This paper systematically reviews the research progress of virtual models of Digital Twins for cancer, analyzes the core challenges currently faced, and provides an outlook on future development directions. Methods A systematic review was conducted. After searching major academic databases, 38 articles were included for analysis. A combination of qualitative induction and descriptive statistics was used to systematically review and analyze the research trends, model classifications, construction methods and challenges in the literature. Results Digital Twins for cancer represented a rapidly emerging interdisciplinary field, covering various types of cancers such as lung cancer and breast cancer. This paper established a classification framework for virtual models, conducting induction from two dimensions:“entity orientation” and “construction method”. Among them, the research on organ-level models was the most concentrated, and the construction of data-driven and hybrid-driven models was also a current research hotspot. However, this field of research still faced significant challenges in aspects such as multi-scale modal data fusion, model clinical validation and credibility, as well as liability attribution and adaptive regulation. Conclusions As a frontier technology in precision medicine, Digital Twins for cancer demonstrate development trends of multi-scale modeling, multi-method construction and multi-scenario applications. However, their clinical translation still faces challenges. In the future, efforts should be focused on three key areas that are technological innovation, trustworthy validation and collaborative governance to accelerate their implementation and clinical translation, thereby empowering the “Healthy China” strategy.
  • ZHANG Wenjie, RUAN Xianjing
    Soft Science of Health. 2025, 39(9): 26-32. https://doi.org/10.3969/j.issn.1003-2800.2025.09.005
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    Objective A two-way fixed effects model is used to empirically study how digital transformation affects the innovation performance of pharmaceutical enterprises, in order to provide a reference for the exploration and strategic layout of digital transformation of pharmaceutical companies. Methods Based on the panel data of A-share listed pharmaceutical companies in China from 2018 to 2022, this study employed a two-way fixed effects model to empirically examine the impact of digital transformation on the innovation performance of pharmaceutical enterprises. Results The results of baseline regression showed that the coefficient of digital transformation (Digit) was 0.011, which was significantly positive at the 1% level, indicating that digital transformation significantly improved the innovation performance of pharmaceutical enterprises. The results of moderating effect showed that the regression coefficient of Digit was 0.010, which was significantly positive at the 5% level. The regression coefficient of the interaction term between digital transformation and organizational resilience (Digit×Res) was 0.039, which was significantly positive at the 1% level, indicating that organizational resilience had a positive moderating effect on the promotion of digital transformation on innovation performance. The results of heterogeneity test showed that the coefficient of Digit of biopharmaceutical enterprises was 0.042, which was significant at the 1% level, while that of traditional Chinese medicine enterprises and chemical drug enterprises was not significant. The coefficient of Digit of small enterprises was 0.025, which was significant at the 1% level, while that of large enterprises was not significant. The coefficient of Digit of the eastern region was 0.011, which was significantly positive at the 5% level, while it was not significant in the central and western regions. Conclusions Digital transformation can enhance the innovation performance of pharmaceutical enterprises, and organizational resilience can positively moderate this relationship. The effect of digital transformation in improving innovation performance is more pronounced among biopharmaceutical firms, small-sized enterprises, and enterprises located in the eastern region. Pharmaceutical firms should accelerate their digital transformation and strengthen organizational resilience. These measures are crucial for improving innovation performance and fostering high-quality development for pharmaceutical enterprises.
  • GUO Dan, ZHANG Yu, ZHANG Xiangwen, YANG Lianghua, LI Yingji, ZHANG Difan
    Soft Science of Health. 2025, 39(9): 33-38. https://doi.org/10.3969/j.issn.1003-2800.2025.09.006
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    Objective By integrating the TPB-HBM theory, a systematic analysis is conducted on the cognition and demands of middle-aged and elderly population regarding medical care, rehabilitation and elderly care services. The effectiveness of integrated TPB-HBM model in explaining the usage behaviors of medical care, rehabilitation and elderly care services for middle-aged and elderly population is examined. Based on the survey results, precise supply strategies for medical care, rehabilitation and elderly care services are proposed. Methods 500 questionnaires were distributed to the middle-aged and elderly population in Yunnan through the Internet and social media, and 463 valid questionnaires were retrieved. The reliability and validity were tested using SmartPLS 4.0, and a structural equation model was constructed to verify the research hypotheses. Results Perceived benefits, perceived behavior control and subjective norms had positive effects on the willingness and behaviors to choose elderly care services. Perceived threats had a positive impact on the willingness for elderly care services. Perceptual barriers and willingness for elderly care had a positive impact on the behaviors to choose elderly care services. Meanwhile, perceived behavior control, perceived benefits, perceived threats and subjective norms all indirectly affected elderly care behaviors through the willingness for elderly care services, among which the mediating effects of subjective norms and perceived benefits were particularly significant (with T values of 2.823 and 2.810 respectively). Conclusions Subjective norms and perceived benefits are the key factors driving the transformation of elderly care behaviors, and they have a significant impact on elderly care behaviors through direct and indirect paths. Therefore, in the process of formulating and implementing elderly care policies, it is necessary to focus on strengthening the construction of social support system, and enhance the individual's perception for the benefits of elderly care services, so as to effectively promote the transformation of the willingness of elderly care into actual behaviors.
  • CHEN Junlin, ZHANG Jiale, NIE Yuqing, GUO Xiang, FU Qian
    Soft Science of Health. 2025, 39(9): 39-44. https://doi.org/10.3969/j.issn.1003-2800.2025.09.007
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    With the rapid advancement of artificial intelligence (AI) technology, AI in healthcare has gradually become an essential force in enhancing healthcare quality and efficiency in China. However, its swift development has also given rise to governance challenges such as ethical dilemmas, data security and accountability attribution. This paper adopts the Multiple Streams Framework and its localized adaptation to systematically explore the origin and evolution of China's governance policies of AI in healthcare from three dimensions: the stream of problems, the stream of policies, and the stream of politics. The study finds that China's AI governance in healthcare is jointly driven by focal events and public opinion. During the formation of policies, it exhibits characteristics of government leadership, expert participation, and pilot-based promotion. The political stream is manifested as the centralized leadership of the Communist Party of China and the strong guidance of national top-level design. Based on this, the paper proposes governance suggestions such as strengthening the construction of problem identification and feedback mechanisms, optimizing the policy supply system, and exerting the top-level political mobilization capabilities from the perspective of Multiple Streams Framework.
  • ZHAO Linru, ZHANG Xiaoyi, LIANG Yachong, YIN Yaping, NIU Lu
    Soft Science of Health. 2025, 39(9): 45-49. https://doi.org/10.3969/j.issn.1003-2800.2025.09.008
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    Objective To analyze the current situation of the capacity of primary medical and health services in Hebei Province, explore the realization paths for enhancing the service capacity, and contribute to the high-quality and coordinated development of primary medical and health services in Hebei Province. Methods Based on the panel data of 11 prefecture-level cities in Hebei Province from 2018 to 2022, an evaluation index system was constructed from three dimensions of resource allocation, service efficiency and service effectiveness. The entropy method was used to statistically measure evaluation indicators and the primary medical and health services level of 11 prefecture-level cities. Descriptive statistics, Kernel density estimation, data visualization, Dagum Gini coefficient and its decomposition were used to analyze the characteristics of spatial and temporal evolution and regional differences of primary medical and health services level in Hebei Province. Results From 2018 to 2022, the overall capacity of primary medical and health services in Hebei Province showed an upward trend. The comprehensive values of the indicators of resource allocation and service effectiveness showed an upward trend, and the comprehensive values of the indicators of service efficiency showed a downward trend. Each region exhibited a spatial distribution pattern of “high in the south and north, and low in the middle”, with an obvious phenomenon of spatial imbalance. The overall level of primary medical and health services varied significantly, and the differences mainly lied in inter-regional differences. Conclusions There are obvious temporal and spatial differences in the capabilities of primary medical and health services in Hebei Province. The suggestions of paths are proposed from the aspects of enhancing policy systems, optimizing resource allocation, improving service efficiency, and reducing regional differences to comprehensively improve the level of primary medical and health services in Hebei Province.
  • ZHAO Mingyue, LI Xuelian, XIE Huiling
    Soft Science of Health. 2025, 39(9): 50-56. https://doi.org/10.3969/j.issn.1003-2800.2025.09.009
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    Objective To analyze the resource allocation, service efficiency and influencing factors of home-based and community-based integration of medical and elderly care services in seven prefectures (cities) of Xinjiang from 2021 to 2023, and to provide a reference for rationally allocating resources and improving service efficiency. Methods The resource density index was used to measure the level of resource allocation. The data envelopment analysis with BCC and Malmquist models were employed to calculate the dynamic and static efficiency of services respectively, and build a Tobit regression model to explore the factors influencing the efficiency. Results In 2023, the ranges of resource density index for healthcare professionals, senior care professionals, hospital beds, and beds for senior citizens in seven prefectures (cities) of Xinjiang were 0.465, 0.191, 0.149 and 0.890 respectively. There were five prefectures (cities) with unbalanced resource allocation, two prefectures (cities) with an overall efficiency < 1, and three prefectures (cities) with a decrease in the total factor productivity index. Conclusions The resource allocation for home-based and community-based integration of medical and elderly care demonstrates structural imbalances in Xinjiang. There are significant disparities in the efficiency of resource allocation among different prefectures (cities). The factors influencing service efficiency include the proportion of elderly population, population density, GDP, the level of healthcare services, the ratio of medical and elderly care resources, and the ratio of personnel to beds.
  • MA Yue, YANG Fengzhu
    Soft Science of Health. 2025, 39(9): 57-61. https://doi.org/10.3969/j.issn.1003-2800.2025.09.010
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    This paper focuses on the ethical review in the circulation of health data, deeply analyzes the applicable dilemmas and causes of informed consent, privacy protection and ethical committee review during the data circulation in the existing system, and proposes innovative solutions for institutional construction. Specifically, it includes: the informed consent model can be innovated by establishing a categorized authorization system for health data and building a dynamic authorization and management platform; it is necessary to introduce the concept of group privacy, and strengthen the risk-benefit assessment mechanism to balance privacy protection and data utilization; it is suggested to clarify the requirements for the composition of committee members, improve the centralized-local collaborative hierarchical review system, and establish a sound funding guarantee mechanism to improve the organizational structure and operating mechanisms of the ethics committee.
  • ZHAO Zizhao, MA Jingdong
    Soft Science of Health. 2025, 39(9): 62-68. https://doi.org/10.3969/j.issn.1003-2800.2025.09.011
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    Objective To explore the interaction patterns of three parties' strategic choice from the perspective of medication continuity in the close-knit county-level medical consortia, and to provide new ideas for enhancing medication continuity among superior and subordinate medical institutions. Methods A three-party evolutionary game model involving the leading hospitals (strong integration / flexible collaboration), member institutions (full cooperation / partial resistance), and patients (support / nonsupport) was constructed. Replicator dynamic equations and the Jacobian matrix were established, combining numerical simulations to analyze the impact of key parameters on the model's evolution. Results The model had two asymptotically evolutionarily stable strategies (ESS): E4(0,1,1) and E8(1,1,1), and the volume of downward referral of patients (Sh) was the only variable that significantly altered the asymptotically evolutionarily stable strategies. Compared to the intensity of government support (Ah), leading hospitals and member institutions were more responsive to changes of government's penalty strength (Fh). However, increases in two parameters didn't alter the stable state of the model. As the volume of downward referral of patients (Sh) increased, the leading hospitals would shift its strategic choice from a strong integration strategy to a flexible collaboration strategy, causing the model to converge to E4(0,1,1). Conclusions The government's supportive and punitive measures can restrain the behaviors of the entities in the short term, but they cannot change the strategic choices of the entities. All entities are more inclined to achieve long-term cooperation through internal incentive mechanisms. As the volume of downward referral of patients increases, leading hospitals have to make a choice between promoting medication continuity and its own revenue. The direct economic losses caused by patient flow may offset the long-term benefits brought by the unified drug lists, thereby prompting leading hospitals to adjust strategies, shifting from “strong integration” to “flexible collaboration”.
  • GUO Xia, SU Xiaoyan, CHEN Yongcong, LU Jie
    Soft Science of Health. 2025, 39(9): 69-74. https://doi.org/10.3969/j.issn.1003-2800.2025.09.012
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    Objective To evaluate the equity of resource allocation in healthcare in Gansu Province from 2013 to 2022, and to provide a reference for optimizing the regional resource allocation in healthcare in Gansu Province. Methods Gini coefficient and Theil index were used to evaluate the equity of the allocation of various health resources from the perspectives of population and geography in Gansu Province from 2013 to 2022, and the Mann-Kendall non-parametric test was used to predict the trends of changes. Results The average annual growth rate of health resource input in Gansu Province from 2013 to 2022 mainly manifested as follows. The annual growth rate of health institutions was -0.50 %; the annual growth rate of the number of health technicians was 6.69%; the annual growth rate of the number of practicing (assistant) physicians was 5.85%; the annual growth rate of the number of registered nurses was 10.02%; and the annual growth rate of the number of beds was 5.59%. The population-based Gini coefficient was generally in an absolutely average state, while the geography-based Gini coefficient tended to be unfair overall. The overall population-based Theil index ranged from 0.0130 to 0.1021. The Theil index of health institutions within the region showed a significant upward trend (P<0.05), while all other items showed a significant downward trend (P<0.05). Conclusions From 2013 to 2022, the total amount of health resources in Gansu Province increases. However, the equity in population-based distribution is superior to geographical area distribution. Inter-regional allocation of health institutions exhibits heightened disparities, and the total number of registered nurses is still insufficient. The government departments should strengthen the planning of regional health resources, increase support for economically backward areas, and continue to optimize the structure of professional health care workforce.
  • ZHAO Xinshuo, KANG Fan, ZHENG Lu, SHI Wenkang, ZHANG Xinping
    Soft Science of Health. 2025, 39(9): 75-79. https://doi.org/10.3969/j.issn.1003-2800.2025.09.013
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    Objective To explore the spatial and temporal variation trends of health resource allocation in China from 2017 to 2022, and to provide a reference for optimizing the efficiency of health resource allocation. Methods The super-efficiency SBM-DEA, Malmquist index model and Moran's I were used to analyze the spatial and temporal changes of health resource allocation in China from 2017 to 2022. Results The efficiency in the southern region was significantly better than that in the northern region, and the number of provinces in the south where the static and dynamic efficiencies were greater than 1 was greater than that in the north. From 2017 to 2022, the average value of total factor productivity in China was 0.963; the average value of comprehensive efficiency was 0.983; the average value of technical efficiency was 0.98; the average value of pure technical efficiency was 0.989, and the average value of scale efficiency was 0.994. The Global Moran's I showed that there was a positive spatial correlation in 2017, 2018 and 2020 ( Moran's I > 0 ). The local spatial clustering characteristics were significant. H-H type (high-high type) was concentrated in the Yangtze River Delta, Pearl River Delta and Chengdu-Chongqing region. L-L type (low-low type) was mainly in the northeast, central and western provinces, and H-L type (high-low type) was mostly municipalities. Conclusions There are significant differences in the efficiency of health resource allocation between the north and the south as well as between the east and the west in China, and the equity is insufficient. The spatial dependence of the efficiency of health resource allocation is enhanced, and the proximity effect is significant. The dynamic efficiency of health resource allocation has declined. The scale expansion does not match the management capabilities. It is necessary to strengthen support for underdeveloped areas and scientifically control the scale.
  • ZHANG Jiayu, WANG Yunfei, YANG Shouming, ZHAO Yanting, SUN Guimiao, LIU Xinkui
    Soft Science of Health. 2025, 39(9): 80-84. https://doi.org/10.3969/j.issn.1003-2800.2025.09.014
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    Objective To assess the impact of DIP payment on the cost of hospital stays for patients with coronary artery disease and to provide data support for the reform of the DIP payment model for coronary artery disease. Methods Patients with coronary artery disease in The First Affiliated Hospital of Zhengzhou University from January 2020 to December 2023 were extracted. Through the 1∶1 propensity score matching method, 5 810 pairs of homogenized patients were finally included. The difference-in-differences regression analysis was conducted to explore the impact of the DIP payment model on the the cost of hospital stays for patients with coronary artery disease. Results Compared with patients who were not subject to DIP payment, the total cost of patients with coronary artery disease who were subject to DIP payment decreased by 2960.32 yuan, in which the cost of western medicine, treatment, examination and nursing decreased by 1234.06 yuan, 317.12 yuan, 400.09 yuan and 78.01 yuan (P<0.05), respectively, and the differences of the cost of diagnosis and examination were not statistically significant (P>0.05). Conclusions The implementation of DIP payment has significantly reduced the financial burden of patients with coronary artery disease, but there is still room for optimization in the current cost structure.
  • LI Guoping, XU Jie, MO Mousen, CHEN Xin, HUANG Ling, LI Bin
    Soft Science of Health. 2025, 39(9): 85-89. https://doi.org/10.3969/j.issn.1003-2800.2025.09.015
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    Objective To study the cost containment effects of the Diagnosis-Intervention Packet (DIP) payment reform on public hospitals, and to provide references for improving the DIP payment reform and balancing the cost containment goals and the guarantee of patients' rights and interests. Methods Inpatients' settlement data of medical insurance at Huizhou Sixth People's Hospital were collected from 2021 to 2023. The difference-in-differences method was used to evaluate the cost containment effects of the DIP payment reform on public hospitals. Results The DIP reform significantly reduced medical insurance payments in the total costs of hospital stays by 6.9% (P<0.01). However, it concurrently induced cost-shifting effects, increasing out-of-pocket expenses by 1.2% (P<0.01). Robustness checks revealed more pronounced cost containment effects for cross-provincial insured patients within Guangdong Province (a reduction of 8.4%, P<0.01). Heterogeneity analysis demonstrated that the cost of the first hospital stay of patients with employees' health insurance and the medical insurance payments decreased by 3.6% and 6.4% respectively, while there was no significant changes in the medical insurance for residents (P>0.10). Conclusions The DIP payment reform can significantly reduce the amount of medical insurance payment in the total cost of hospital stays. However, the reform also shifts the cost of hospital stays from medical insurance to patients, Objectively increasing the medical burden on the patients.
  • XU Xinglong, ZHANG Qiyue, NI Kai, GU Jinhua
    Soft Science of Health. 2025, 39(9): 90-95. https://doi.org/10.3969/j.issn.1003-2800.2025.09.016
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    This article systematically reviews related research progress from a theoretical perspective such as the conceptual evolution of the integration of medical treatment and disease prevention, the connotation of the integration of medical treatment and disease prevention at grassroots level, digital health, and digital intelligence empowering the integration of medical treatment and disease prevention.Combined with the typical cases of smart chronic disease management under Taizhou's “Star Network Plan”, this paper deeply analyzes the practical measures of digital intelligence empowering the integration of medical treatment and prevention at the grassroots level.It is found that the current policy support systems for the integration of medical treatment and disease prevention at the grassroots level in China need to be improved; the resource allocation urgently requires optimization; the overall service capacity is not strong, and the informatization level is not high. Suggestions are proposed to identify the target and the role of digital intelligence empowering the integration of medical treatment and disease prevention at grassroots level, build a standardized platform for digital intelligence empowering the integration of medical treatment and disease prevention at grassroots level, strengthen the resilience of the grassroots medical and prevention integration system and promote the collaborative efforts of multiple entities.