1.Exploration of the Application of Generative Artificial Intelligence to the Challenge of Medical Record Writing
Xiaoyuan GAO ; Xiaolin DIAO ; Fan XU ; Hongxia LI ; Xintong WU ; Zixing WANG ; Wei ZHAO ; Ting SHU
Chinese Hospital Management 2025;45(5):76-79
Generative Artificial Intelligence ishows a broad application prospect in the field of healthcare and has become an important technical means to promote the development of medical informatization.It addresses the multi-faceted challenges of medical record documentation,including efficiency,quality,and doctor-patient communica-tion.It analyzes the adaptability and feasibility of Generative Artificial Intelligence in different clinical scenarios of intelli-gent medical record generation.Additionally,it explores the issues present in current applications and proposes corre-sponding solutions,providing references for the effective application and continuous optimization of Generative Artifi-cial Intelligence in medical record documentation.This provides a theoretical foundation for further expanding the appli-cation scenarios of automatic medical record documentation in China's healthcare industry.
2.Biomarkers for evaluating neurological outcomes in cardiac arrest patients supported by extracorporeal membrane oxygenation
Peifeng NI ; Weidong ZHANG ; Gensheng ZHANG ; Qijiang CHEN ; Ying ZHU ; Wei HU ; Mengyuan DIAO
Chinese Journal of Emergency Medicine 2025;34(1):25-32
Objective:To investigate the correlation between serum neuron-specific enolase (NSE) levels and poor neurological outcomes in cardiac arrest (CA) patients supported by veno-arterial extracorporeal membrane oxygenation (VA-ECMO).Methods:This retrospective analysis was conducted on adult CA patients treated with VA-ECMO at Hangzhou First People's Hospital Affiliated to Westlake University School of Medicine, and Second Affiliated Hospital Zhejiang University School of Medicine, from December 2018 to February 2024. General clinical data and serial serum NSE levels at 24, 48, and 72 h after ECMO initiation were collected. Based on the Glasgow-Pittsburgh Cerebral Performance Category (CPC) at discharge, patients were divided into poor neurological outcome group (CPC 3-5) and good neurological outcome group (CPC 1-2). Differences in serum NSE levels between the two groups were compared. The accuracy of serum NSE levels at three time points in predicting poor neurological outcomes in CA patients was assessed via receiver operating characteristic curves, and the optimal cut-off values were determined by the Youden index. Multivariate logistic regression analysis was performed to determine the relationship between serum NSE levels and poor neurological outcomes. Subgroup analysis was based on age, sex, location of CA, and extracorporeal cardiopulmonary resuscitation (ECPR).Results:A total of 120 eligible CA patients were included, with 88 patients (73.3%) having poor neurological outcomes at discharge. Serum NSE levels at 24, 48, and 72 h after ECMO initiation were higher in the poor outcome group compared to the good outcome group (all P<0.05). The serum NSE level at 72 h had the highest accuracy in predicting poor outcomes, with an area under the curve (AUC) of 0.91 (95% CI: 0.85-0.96), and a cut-off value of 42.0 μg/L. The AUCs for 24 and 48 h were 0.78 (95% CI: 0.69-0.86) and 0.87 (95% CI: 0.80-0.94), with cut-off values of 70.6 μg/L and 64.5 μg/L, respectively. Multivariate logistic regression analysis suggested that the serum NSE level at 72 h was associated with poor outcomes ( P<0.05), and an NSE level >42.0 μg/L was an independent risk factor for poor outcomes ( OR=20.29, 95% CI: 2.90-92.15). Subgroup analysis showed that serum NSE level at 72 h was an independent risk factor for poor neurological outcomes in CA patients aged<60 years old, male or female, out-of-hospital or in-hospital CA, and whether to perform ECPR (all P<0.05). Conclusion:Elevated serum NSE levels at 72 h after VA-ECMO initiation are associated with poor neurological outcomes in CA patients, with the cut-off value of 42.0 μg/L.
3.Application Effect of an Intelligent Medical Record Writing Assistant in Inpatient Medical Record Practice
Xiaoyuan GAO ; Landi SUN ; Xiaolei QIN ; Lei ZUO ; Shihao LIAO ; Qianqian LIU ; Wei ZHAO ; Xiaolin DIAO
Medical Journal of Peking Union Medical College Hospital 2025;17(1):217-222
To investigate the effectiveness of a self-developed intelligent medical record writing assistant in enhancing the efficiency of discharge record writing and improving the quality of discharge records, and to assess physicians' satisfaction with the assistant. This study was conducted as a prospective cluster-randomized controlled trial. From January 25 to June 25, 2024, clinicians in the coronary heartdisease ward of Fuwai Hospital, Chinese Academy of Medical Sciences were selected as the research object. Using the method of cluster-randomized allocation, the four wards were randomly assigned 1∶1, with physicians and their medical records assigned to the corresponding group based on the ward. The experimental group utilized the intelligent medical record writing assistant, with 46 physicians included and 4105 medical records collected. The control group used traditional writing methods, with 41 physicians included and 4680 medical records collected. Primary outcome measures included quantitative analysis of medical record writing efficiency and medical record writing quality. Secondary outcomes assessed physicians' satisfaction with the use of the intelligent medical record writing assistant. The average writing time for discharge records in the experimental group was significantly shorter than that in the control group(5.73 min The intelligent medical record writing assistant can significantly enhance the writing efficiency and optimize medical record quality concurrently, and physicians are highly satisfied with it. This study validates the effectiveness of the new model of intelligent medical record writing applied to clinical practice, and provides a paradigm for the in-depth application and promotion of this model in the future.
4.Research progress of T cell in thyroid-associated ophthalmopathy
Sainan CHEN ; Jiale DIAO ; Ruili WEI
Chinese Journal of Experimental Ophthalmology 2025;43(9):859-864
Thyroid-associated ophthalmopathy (TAO) is the ocular manifestation of thyroid autoimmune dysfunction.Its clinical feathers mainly include eyelid retraction, proptosis, and ocular movement disorders.TAO is the most common orbital diseases.The pathogenesis of TAO has not been fully elucidated, but researchers generally believe that T cells play an important role in the pathogenesis of TAO.In the early stage of TAO development, a large number of T cells are activated and infiltrated into the retroorbital soft tissue.T cells can be divided into CD4 + T cells and CD8 + T cells.CD4 + T cells play a more central role in TAO.CD4 + T cells include Th1, Th2, Treg and recently discovered Th17, Th22 and Tfh cells.In target tissues, the complete activation and later function of T cells largely rely on the costimulatory pathways, there needs to unravel the mechanism of these costimulatory pathways in TAO.This paper reviews the recent research progress of T cells and costimulatory signals required for their activation in the pathogenesis of TAO.
5.Interpretation of Chinese Expert Consensus on Integrated Chinese and Western Medicine Management of Wilson Disease-related Renal Damage
Wenming YANG ; Ke DIAO ; Hu XI ; Zhihong RAO ; Taohua WEI ; Yulong YANG ; Shuzhen FANG
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(20):168-176
Wilson disease is a copper metabolism disorder caused by mutations in the ATP7B gene, which encodes a copper-transporting ATPase β, and can result in multisystem damage. The kidneys are the third most commonly affected organs after the liver and brain. In recent years, numerous diagnostic and treatment guidelines for Wilson disease have emerged. However, most of these focus primarily on hepatic and neurological manifestations and their management, with limited coverage of renal involvement. The high incidence, low awareness, and lack of clinical specificity of Wilson disease-related renal damage (WDRD) have made early detection and intervention particularly challenging in clinical practice. To further optimize the treatment of patients with WDRD, improve clinical diagnosis and management, and enhance patients' quality of life, the Neurology Committee of the Chinese Association of Integrative Medicine, in April 2024, initiated a revision of the first expert consensus on the integrated diagnosis, treatment, and management of WDRD. This effort brought together experts in hepatology, encephalopathy (neurology), and nephrology from many tertiary-level grade A hospitals and research institutions across China. Through comprehensive literature review and integration of frontline clinical experience, the expert group jointly developed Chinese Expert Consensus on Integrated Chinese and Western Medicine Management of Wilson Disease-related Renal Damage (hereinafter referred to as the "Consensus"). This article provides a detailed interpretation of the Consensus in terms of diagnostic criteria, traditional Chinese medicine (TCM) syndrome differentiation and treatment classification, and comprehensive disease management, aiming to better guide clinical application. Regarding diagnostic criteria, the Consensus integrates the latest standards in China and abroad, highlights the importance of biochemical diagnosis, and compensates for the limitations of genetic testing. In the area of TCM syndrome differentiation and treatment, the Consensus refines four major syndrome types, introduces a newly defined syndrome, i.e., phlegm, blood stasis, and heat accumulation, and elaborates on treatment principles, prescriptions, and clinical modification rules for each syndrome. For comprehensive disease management, the Consensus emphasizes multi-dimensional intervention strategies, including diet, exercise, emotional regulation, medication, and medical care, with the goal of maximally controlling the progression of renal dysfunction and helping patients achieve a better quality of life.
6.The Development and Application of Chatbots in Healthcare: From Traditional Methods to Large Language Models
Zixing WANG ; Le QI ; Xiaodan LIAN ; Ziheng ZHOU ; Aiwei MENG ; Xintong WU ; Xiaoyuan GAO ; Yujie YANG ; Yiyang LIU ; Wei ZHAO ; Xiaolin DIAO
Medical Journal of Peking Union Medical College Hospital 2025;16(5):1170-1178
With the rapid advancement of artificial intelligence technology, chatbots have shown great potential in the healthcare sector. From personalized health advice to chronic disease management and psychological support, chatbots have demonstrated significant advantages in improving the efficiency and quality of healthcare services. As the scope of their applications expands, the relationship between technological complexity and practical application scenarios has become increasingly intertwined, necessitating a more comprehensive evaluation of both aspects. This paper, from the perspective of he althcare applications, systematically reviews the technological pathways and development of chatbots in the medical field, providing an in-depth analysis of their performance across various medical scenarios. It thoroughly examines the advantages and limitations of chatbots, aiming to offer theoretical support for future research and propose feasible recommendations for the broader adoption of chatbot technologies in healthcare.
7.Guidelines for the diagnosis and treatment of prurigo nodularis.
Li ZHANG ; Qingchun DIAO ; Xia DOU ; Hong FANG ; Songmei GENG ; Hao GUO ; Yaolong CHEN ; Chao JI ; Chengxin LI ; Linfeng LI ; Jie LI ; Jingyi LI ; Wei LI ; Zhiming LI ; Yunsheng LIANG ; Jianjun QIAO ; Zhiqiang SONG ; Qing SUN ; Juan TAO ; Fang WANG ; Zhiqiang XIE ; Jinhua XU ; Suling XU ; Hongwei YAN ; Xu YAO ; Jianzhong ZHANG ; Litao ZHANG ; Gang ZHU ; Fei HAO ; Xinghua GAO
Chinese Medical Journal 2025;138(22):2859-2861
8.Research progress of T cell in thyroid-associated ophthalmopathy
Sainan CHEN ; Jiale DIAO ; Ruili WEI
Chinese Journal of Experimental Ophthalmology 2025;43(9):859-864
Thyroid-associated ophthalmopathy (TAO) is the ocular manifestation of thyroid autoimmune dysfunction.Its clinical feathers mainly include eyelid retraction, proptosis, and ocular movement disorders.TAO is the most common orbital diseases.The pathogenesis of TAO has not been fully elucidated, but researchers generally believe that T cells play an important role in the pathogenesis of TAO.In the early stage of TAO development, a large number of T cells are activated and infiltrated into the retroorbital soft tissue.T cells can be divided into CD4 + T cells and CD8 + T cells.CD4 + T cells play a more central role in TAO.CD4 + T cells include Th1, Th2, Treg and recently discovered Th17, Th22 and Tfh cells.In target tissues, the complete activation and later function of T cells largely rely on the costimulatory pathways, there needs to unravel the mechanism of these costimulatory pathways in TAO.This paper reviews the recent research progress of T cells and costimulatory signals required for their activation in the pathogenesis of TAO.
9.Exploration of the Application of Generative Artificial Intelligence to the Challenge of Medical Record Writing
Xiaoyuan GAO ; Xiaolin DIAO ; Fan XU ; Hongxia LI ; Xintong WU ; Zixing WANG ; Wei ZHAO ; Ting SHU
Chinese Hospital Management 2025;45(5):76-79
Generative Artificial Intelligence ishows a broad application prospect in the field of healthcare and has become an important technical means to promote the development of medical informatization.It addresses the multi-faceted challenges of medical record documentation,including efficiency,quality,and doctor-patient communica-tion.It analyzes the adaptability and feasibility of Generative Artificial Intelligence in different clinical scenarios of intelli-gent medical record generation.Additionally,it explores the issues present in current applications and proposes corre-sponding solutions,providing references for the effective application and continuous optimization of Generative Artifi-cial Intelligence in medical record documentation.This provides a theoretical foundation for further expanding the appli-cation scenarios of automatic medical record documentation in China's healthcare industry.
10.Research on the regulation of ferroptosis in hepatic stellate cells line LX2 by recombinant cytoglobin
Xun-wei DUAN ; Gui-qing XIAO ; Huai-yu CHEN ; Yong ZHANG ; Wen-lin WU ; Yi GAO ; Yong DIAO
Acta Pharmaceutica Sinica 2024;59(8):2237-2244
Intracellular overexpression of cytoglobin (Cygb) has been shown to reduce extracellular matrix deposition and promote liver fibrosis recovery, but its mechanism is not yet clear. This study constructed and expressed a fusion protein (TAT-Cygb) of cell penetrating peptide TAT and Cygb, to investigate the effect of fusion protein TAT-Cygb on regulating hepatic stellate cells (HSCs) ferroptosis. Cultured human hepatic stellate cells line (LX2) were treated with TAT-Cygb and erastin

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