15 September 2025, Volume 20 Issue 9
    

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  • Research and enlightenment on hospital deepening information benefit to the people under the reform idea of "efficiently accomplishing one thing"
    SHI Sen, JU Wensheng, HAN Dong
    China Digital Medicine. 2025, 20(9): 1-5,6.
    Abstract ( )   Knowledge map   Save
    Objective This paper introduces the implementation method of the reform of "efficient accomplishing of one thing" in China's government services, so as to provide reference for further improving medical services and improving hospital information benefits for the people. Methods This paper analyzes the current situation of hospital information benefiting people in China and puts forward suggestions by means of field interviews, questionnaire survey, literature analysis and other research methods. Results The reform of "efficient accomplishing of one thing" by government services promotes service mode innovation through the connection of information system, data sharing, online and offline integration, and business restructuring, realizes material simplification, process optimization, diverse methods and cost reduction, and has achieved good results, which is of great reference value to medical institutions. Conclusion Hospitals can learn from the advanced experience of government service reform, promote the reengineering of medical service process through strengthening hospital information construction, further facilitate people's access to medical treatment, and advance the development of China's hospital information for the benefit of the people towards standardization and intelligence.
  • Exploration and effectiveness of digital-intelligence transformation in outpatient one-counter service "one-stop"
    REN Haiyan, WANG Lihua, ZHOU Jiacheng, LI Junwei, LYU Han, ZHANG Guangliang, NIU Yuxiang, GUO Xin
    China Digital Medicine. 2025, 20(9): 6-11.
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    Objective To solve the drawbacks of traditional outpatient service centers and achieve a reform of outpatient cabinet services "one-stop". Methods Using technologies such as Single Sign On and Retrieval-Augmented Generation, a series of information technology practices were carried out, including unified devices, new queuing and calling systems, optimized printing functions, optimized narcotic drugs card management, integrated login, and development of intelligent assistants. Results The barriers between various business systems have been broken down, and outpatient cabinet services "one-stop" have been achieved, improving service efficiency and patient satisfaction. Conclusion The series of information technology practice measures have played a crucial role in achieving outpatient cabinet services "one-stop" and are worth promoting.
  • Intelligent closed-loop management of the full process for medical insurance identification of outpatient special disease patients
    LI Chaofeng, PAN Zetao, SU Yanan, DING Xiaoqian, HE Zhonglian
    China Digital Medicine. 2025, 20(9): 12-17.
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    Objective Using the big model and Internet technology, optimize the application and identification process of special diseases in outpatient service, improve the identification efficiency of special diseases in outpatient service in different places, and solve the problems of cumbersome application process, low efficiency, and difficult operation of special diseases in outpatient service in traditional medical insurance identification. Methods Design electronic application forms for outpatient special diseases and intelligent facial recognition verification functions to achieve online processing of outpatient special disease identification. Build a knowledge base for medical insurance policies, utilize large models to achieve intelligent disease summarization and policy review, and establish an intelligent verification mechanism. Results The management loop of automating the entire process of applying for special diseases in outpatient clinics and comprehensively verifying the full amount of data has been achieved. The number of people recognized for special diseases in remote outpatient clinics has increased sharply, and it has been highly recognized by the medical insurance center and peers. The process of identifying patients with special diseases in outpatient clinics has been optimized from offline 5 steps to online processing, reducing the processing time from multiple days to within 5 minutes and improving medical satisfaction; The average review time has been reduced from 106 minutes to within 3 minutes, and the self-service settlement rate has significantly increased. The cost of communication between the medical insurance management office and all parties has been significantly reduced, the error rate of refunds has been greatly reduced, the consumption of printing consumables has been reduced, and operating costs have been saved. Conclusion Through the application of the big model and internet technology, the multi department collaborative service has been realized, which effectively improves the efficiency and accuracy of the application for special diseases in the outpatient department, improves patient satisfaction, and can be further promoted and applied. 
  • Innovative practice of smart management of the entire process of medical certificates of death code in hospital life statistics works
    XU Jide, HUANG Yangjun, GAO Yuan, ZHANG Guangliang, ZHOU Shiguo, WANG Lihua
    China Digital Medicine. 2025, 20(9): 18-23.
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    Objective To improve the full-process information management of hospital vital statistics and achieve multi-angle and all-round application of hospital information technology. Methods Flexibly apply CA electronic signature, RPA and WeChat mini-program to integrate with the hospital's medical certificate of death code management system and clinical decision support system to simplify the hospital vital statistics workflow. Results The full-process information management of registration, reporting, issuance, review, archiving and reporting of the "Medical Certificate of death code" was successfully realized, simplifying some work processes and reducing the workload of medical staff. Conclusion The intelligent innovation practice of hospital vital statistics has improved the work efficiency of staff and enhanced the hospital's management level.
  • Construction and application effectiveness of integrated platform for inpatient smart services
    CAO Lei, TANG Tao, YE Haitao, TANG Tao
    China Digital Medicine. 2025, 20(9): 24-30.
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    Addressing issues such as low patient efficiency, insufficient satisfaction, and data silos in information systems during traditional hospitalization processes, with the core concept of "patient experience driven, technology deeply empowered", the hospital integrates its core business system, integrates new generation information technologies such as Artificial Intelligence, VR/AR, etc., and creates an integrated information platform through business integration, process reconstruction, and scene innovation to achieve full coverage of intelligent service applications for patients during hospitalization. The platform integrates the core functional modules of pre-hospital, in-hospital, and post hospital, providing patients with a full chain digital service from admission to rehabilitation on mobile devices. After the implementation of the platform, the average hospitalization processing time for each patient has been shortened by 30 minutes, the satisfaction rate of hospitalized patients has increased by 20%, the complaint rate has decreased by 70%, the utilization rate of electronic invoices has reached 100%, and more than 10 million sheets of paper have been saved annually.
  • Exploring digital practices for hospital staff onboarding and offboarding "one-stop" services
    MENG Zhen, CAI Chongwu
    China Digital Medicine. 2025, 20(9): 31-36,37.
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    Objective Against the backdrop of the national initiative for "efficient handling of single-issue services", The hospital established a one-stop service model for staff onboarding and offboarding, aiming to promote digital transformation in human resource management and modern collaborative governance in hospitals. Methods HR data standards were unified to eliminate data silos, achieving deep interoperability across HR, HIS, financial, and other core systems. Cross-departmental workflows were reengineered to enhance interdepartmental collaboration. Based on a foundation of data governance, process and organizational governance were integrated to support systematic restructuring of the onboarding-offboarding service system. Results More than 80% of functional departments in zhejiang cancer hospital achieved full online processing and real-time completion of onboarding-offboarding procedures, resulting in significantly reduced processing time and increased staff satisfaction. Conclusion This initiative demonstrates a replicable and scalable pathway for implementing one-stop onboarding and offboarding services, offering valuable experience for advancing digital HR  transformation in hospitals, as demonstrated by Zhejiang Cancer Hospital. 
  • Innovation and practice of online-to-offline integrated multi-disciplinary treatment model
    ZHANG Dunming, PAN Yifu, ZHANG Ruilin, PAN Hongwei, LI Li'an, YU Junrong, WANG Yuyao, WANG Yi
    China Digital Medicine. 2025, 20(9): 37-42.
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    Objective To explore the innovative construction and clinical effectiveness of an Online-to-Offline (O2O) integrated Multi-disciplinary treatment (MDT) model under the "Internet Plus Healthcare" initiative, providing a scalable digital solution for diagnosing and treating complex and refractory diseases. Methods  A four-tier collaborative architecture ("Patient Terminal–Healthcare Coordination Terminal–Consultation Terminal–Management Terminal") was established to integrate three major clinical service scenarios (outpatient, inpatient, and internet hospital services). Adopting a "preliminary online consultation followed by centralized offline consultation" workflow, the model restructured the entire digital closed-loop management process for complex disease diagnosis and treatment. Results As of June 2025, 55 MDT teams involving 442 multidisciplinary experts had been formed. The system completed 3,200 online MDT pre-consultations, with over 1,658 cases formally registered for MDT sessions. Collaboration models spanning 3～6 clinical departments accounted for 88.6% of cases, achieving dual enhancements in both diagnostic/therapeutic quality and operational efficiency. Conclusion The O2O integrated MDT model overcomes the physical space limitations inherent in traditional healthcare through data interoperability and process redesign, significantly improving efficiency in managing complex diseases and increasing patient satisfaction rates
  • The application practice of QR code electronic certificates in the "three exemptions" incentive policy for voluntary blood donors
    CHEN Wendi, SHI Hong, ZHUANG Li
    China Digital Medicine. 2025, 20(9): 43-47.
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    In response to the problems such as cumbersome procedures for exemption, poor information flow across regions within the province, and inconsistent implementation standards during the implementation of the "three exemptions" policy for voluntary blood donation, the Ningbo Central Blood Station has developed the "Blood Donation Privilege" application system on Zhejiang Services. Through technologies such as user identity recognition, dynamic QR code connection, and multivariate data collection, it has realized the electronicization of the blood donation honor certificate and constructed a complete closed loop for the preferential services under the "three exemptions" policy. After the application of the system, beneficiaries can conveniently enjoy the benefits of the "three exemptions" policy by scanning codes in Ningbo City. This innovative measure has achieved remarkable results from all sectors of society.
  • The design and application of internal control systems in public health institutions
    CHEN Hui, JIN Xin, YIN Weidong, HUANG Zhao, MA Li
    China Digital Medicine. 2025, 20(9): 48-54.
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    Objective To address the increasingly complex internal management issues of public health institutions, standardize internal control, and enhance the transparency, compliance and operational efficiency of internal economic activities. Methods First, through a demand analysis of the existing management system of the unit, the deficiencies in budget management, financial revenue and expenditure, and procurement management were identified. Then, a comprehensive solution covering budget management, financial revenue and expenditure management, procurement management, asset management, and contract management was designed. The "1 platform + N functional modules" architecture model was adopted, combined with microservice architecture and data analysis technology, to ensure the efficient operation of the system and the collaborative work of each module. Results After the system was implemented, the processing time for economic activities was significantly reduced. The approval time for financial reimbursements was shortened from 7 to 10 working days to 1 to 3 working days, and the time for budget preparation and approval was reduced by more than 50%. At the same time, financial risks such as budget overruns and non-compliant reimbursements were also effectively controlled. Conclusion The system has effectively enhanced the operational efficiency of economic activities, strengthened the ability to control costs, ensured the compliance of fund usage, and provided strong intelligent support for the internal management of the organization in the future.
  • Design and practice of outpatient scheduling management system based on OA process
    LI Huixuan, GUO Xin, ZHANG Guangliang, MA Jiyuan
    China Digital Medicine. 2025, 20(9): 55-60.
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    Objective To design an outpatient scheduling management system based on OA office processes, facilitating scheduling and clinic closure requests, enhancing the efficiency of outpatient management, and ensuring the accuracy of scheduling and the timeliness of clinic closures. Methods Considering the actual outpatient scheduling operations, a set of outpatient scheduling management system embedded in the OA system and supporting mobile-end review was developed. It was integrated online with the Hospital Information System to automatically generate appointment sources. Results Departments can log in to the OA system to complete scheduling applications and review processes in an orderly, convenient, and efficient manner, no longer restricted by the hospital's internal network and equipment, and update the HIS appointment sources in real-time. Conclusion The design and implementation of the outpatient scheduling management system have improved the scheduling efficiency of various clinical departments and outpatient offices, reduced communication costs, and laid the foundation for further exploring intelligent outpatient management.
  • Practice of office automation domestic transformation in large comprehensive hospitals
    WANG Chen, YU Xiaolong, ZHU Jing
    China Digital Medicine. 2025, 20(9): 61-70,71.
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    Objective We will carry out domestic transformation of the office automation in hospitals and achieve the technical feasibility and application value of domestically produced systems in large comprehensive hospitals. Methods By analyzing the current office automation application system, identify all software and hardware involved in system operation item by item, and then use benchmarking localization information technology to adapt and transform each item, ultimately achieving localization substitution throughout the entire process. Results The nationwide localization transformation of the collaborative office platform has been realized, and the system has been stable since its launch, with all performance indicators meeting expectations. Conclusion This study confirms the feasibility of office automation under the localization of technology systems, not only achieving independent control over key technologies and breaking away from reliance on foreign technology systems, but also providing reusable implementation paths and key technical solutions for the transformation of information systems in large medical institutions, which has a demonstrative significance for promoting the construction of new information technology in the medical industry.
  • Research on the effect of artificial intelligence technology assisting endoscopic diagnosis of gastric tumors
    ZHANG Hongshi, LIN Yanjuan, HUANG Yaokui, CHEN Peisong
    China Digital Medicine. 2025, 20(9): 71-77.
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    Objective To develop and validate an efficient Artificial Intelligence (AI) system based on Convolutional Neural Network (CNN) for detecting early Gastric Cancer (GC). Methods This study retrospectively included 157 patients who underwent endoscopic submucosal dissection from January 2020 to June 2022, including 109 training sets, 28 validation data sets and 20 external validation sets. The performance of CNN system in detecting early GC of patients was evaluated by ROC curve, and the performance of CNN system and endoscopy experts was compared. Results For the validation data set, the sensitivity and negative predictive value of CNN system were greater than 85%. The specificity of CNN system was 81.7%～90.3%, and the positive predictive value was 80.5%～90.5%. ROC analysis showed that CNN system had excellent diagnostic performance in validation set (AUC=0.906～0.923) and three subgroups of early GC (AUC: 0.920～0.946). After the expert group combined with CNN system, the diagnostic accuracy (87.3% vs. 94.3%, P = 0.002), sensitivity (82.7% vs. 97.4%, P = 0.001) and negative predictive value (85.4% vs. 97.9%, P = 0.002) increased significantly. After the intern group combined with CNN system, the diagnostic accuracy (73.6% vs. 96.2%,  P＜ 0.001), sensitivity (50.2% vs. 94.7%, P＜0.001) and negative predictive value (66.7% vs. 94.9%, P < 0.001) increased significantly. Conclusions The AI system based on CNN developed in this study shows excellent early GC detection performance in the validation data set, and improves the diagnostic ability of intern endoscopists to the level of experts.
  • Application of virtual simulation system based on real-time data tracking and warning model in clinical experiment teaching of general surgery
    HUANG Bo, HE Yixi, DAI Yaxing, WANG Minghua, ZHAO Pan, REN Yixing
    China Digital Medicine. 2025, 20(9): 78-84.
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    Objective To explore the construction and practical application effects of a virtual simulation system based on real-time data tracking and warning models. Methods The virtual simulation system based on real-time data tracking and warning model consists of hardware layer, data acquisition layer, algorithm and model layer, interaction and visualization layer, and teaching management layer. Select 120 third year students from North Sichuan Medical College's surgical science courses and divide them into a control group and an experimental group using a random number table method, with 60 students in each group. The control group adopts the traditional teaching mode (teacher demonstration + surgical video viewing + laboratory physical instrument practice), while the experimental group uses a virtual simulation system based on real-time data tracking and warning models for operational training after completing basic theoretical learning. Compare the differences in theoretical and operational scores, self-efficacy scores, and student satisfaction between two groups of students after teaching. Results Compared with the control group, the observation group showed significantly higher theoretical and operational scores (t = 7.765, 7.020, P＜0.001), and the differences were statistically significant. The observation group had significantly higher instrument manipulation ability, emergency handling ability, confidence in completing key steps, satisfaction with training effectiveness, and total score than the control group, and the differences were statistically significant (t = 8.577, 5.661, 11.996, 13.676, 12.712, P＜0.001). Compared with the control group, the observation group showed significant increases in scores and total scores in teaching methods, content richness, timely feedback, teaching practicality, and immersion, and the differences were statistically significant (t = 26.697, 18.652, 12.961, 17.021, 20.075, 15.099, P＜0.001). Conclusion The practical effect of virtual simulation system based on real-time data tracking and warning model is significant, which can significantly improve the quality and self-efficacy of surgical experimental teaching, and enhance student satisfaction with teaching.
  • Construction and governance method of disease thematic databases based on the link healthcare project
    YAO Huayan, HE Ping, CUI Bin, XU Bo, SUN Wen, LU Ping
    China Digital Medicine. 2025, 20(9): 85-89.
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    By aggregating clinical diagnosis and treatment records from 37 municipal hospitals in Shanghai, a data governance approach for real-world medical big data was explored. Under the premise of maintaining the authenticity of the data, the original data were converted into a dataset that could facilitate the analysis and query of clinical application, thus a clinical disease thematic database is constructed to provide data support for medical research and review. The work can also provide reference for more regions to construct disease thematic database.
  • Design and implementation of data mining and processing system for Traditional Chinese Medicine
    ZHOU Chongyun, LI Panfei, WANG Yifan, CUI Tangming, SUN Meiling, LI Haiyan
    China Digital Medicine. 2025, 20(9): 90-95.
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    Objective To develop a data mining processing system that can improve the efficiency and quality of data mining, and enrich the content of data mining. Methods By analyzing the current methods, processes, and software of data mining in detail, combined with national or industry standards for traditional Chinese medicine information, a standardized database for data preprocessing is established. The preprocessing and calculation of data mining are implemented through Python, and interface documents are provided to achieve interconnection with mainstream data mining professional tools. Results The data mining and processing system for Traditional Chinese Medicine can efficiently and quickly preprocess traditional Chinese medicine data and calculate related results, and provide interface files for Multiple data mining software such as SPSS Statistics/Modeler, Origin, Cytoscape, VOS Viewer, WPS/Excel provide interactive files. Conclusion The rapid processing capability provided by data mining and processing system for Traditional Chinese Medicine through standard database construction can greatly simplify the preprocessing steps. Researchers only need to focus on the specific content and research of data mining, thereby improving the quality of data mining and promoting the modernization of traditional Chinese medicine research.
  • Visualization analysis of intelligent nursing research based on CiteSpace and VOSviewer
    XIE Haixia, LI Fulan, YU Tianshuang, HAN Ruijuan
    China Digital Medicine. 2025, 20(9): 96-104.
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    Objective To analyze the research hotspots and trends in the field of intelligent nursing, and to provide a reference for the relevant research in China. Methods The relevant literature on intelligent nursing collected from CNKI and core databases of Web of Science was retrieved and visually analyzed by CiteSpace 6.2.R6 and VOSviewer 1.6.20 software from the 1st of January 2010 to the 8th of February 2023. Results A total of 1 045 papers were obtained, 820 in English and 225 in Chinese, and the overall number of published articles showed an upward trend. The country with the largest number of publications is China, but the United States has greater academic influence in this field. Currently, the research hotspots focus on intelligent nursing technology improvement, the application of intelligent nursing in clinical practice and nursing education and so on. Conclusion The research on intelligent nursing in China starts relatively late, and the depth and breadth of research need to be further improved at present. It is suggested that relevant scholars should strengthen technological innovation and application, embody personalized service, and pay attention to talent cultivation and crossover cooperation.
  • Development and implementation of an intelligent triage system for internet hospitals using the BERT language model
    YANG Lu, WANG Yanan, MO Helong, CHEN Lyuwei, WANG Wei
    China Digital Medicine. 2025, 20(9): 105-108,109.
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    Objective To enhance the efficiency and accuracy of triage in Internet hospitals and improve patients' pre-consultation experience. Methods The BERT model was applied for pre-training, fine-tuning, and validation. Once the model met performance requirements, it was deployed in the Internet hospital triage system to enable intelligent triage services. Results In 2023, the system completed over 40,000 triage cases, with an average accuracy rate of approximately 84%. Compared with manual triage, the intelligent triage process significantly reduced consultation time while maintaining accuracy, thereby improving overall efficiency. Conclusion The application of AI technology facilitates rapid triage for patients and effectively enhances the efficiency of Internet hospital services.
  • Design and application of palm hospital network services reliability scheme
    CHEN Guopeng, KANG Ning, YUAN Wei, XU Xiaolu
    China Digital Medicine. 2025, 20(9): 109-114.
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    Objective To design and apply a scheme to improve the reliability of palm hospital network service. Methods By analyzing the shortcomings of the existing network service system of the palm hospital, a more reliable network service system of the palm hospital is designed by taking multiple measures such as adding multiple Internet export design, availability automatic detection module, business type intelligent load module, and deploying Web application firewall. Results By designing a scheme to improve the reliability of the palm hospital network service system and conducting application testing in the actual network environment, the impact time of Internet failures on business was greatly reduced; Effective protection against application layer attacks and visual security operation and maintenance view can help reduce network security risks. The reliability of palm hospital network service is improved. Conclusion The application of palm hospital network service reliability scheme can improve the availability of network services and the efficiency of security operation and maintenance, and can also provide reference for the construction or improvement of business systems of this kind of architecture.
  • Research on the application of reservation mode based on dynamic resource management in cross-domain services of medical consortium
    ZHANG Zhijian, ZHAO Min, SUN Zhonghai, HE Zhiqiang, SU Guiping, YANG Min
    China Digital Medicine. 2025, 20(9): 115-120.
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    Objective Establish a unified resource management platform, promote the downward flow of high-quality medical resources, build a hierarchical medical treatment model, and achieve resource sharing and continuous management. Methods Centered on Xiamen University First Affiliated Hospital, a cross-domain appointment service system for medical alliances has been established by uniting medical institutions within the region, promoting the coordinated interaction, division of labor and efficient utilization of medical resources at different levels. Results The average waiting time for patients has been reduced from 90 minutes to 27 minutes, a decrease of 70%. The cumulative number of round trips made by patients across hospital districts has been reduced by over 150,000. Conclusion The cross-domain appointment service of medical consortium based on fully automatic management of dynamic resources and intelligent reservation has significantly improved the utilization rate of medical resources through scientific management, strengthened the collaboration between grassroots medical institutions and higher-level hospitals, optimized the patient medical treatment process, reduced medical costs, and enhanced patient satisfaction.
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