Objective: This study proposes a clustering framework for Chinese materia medica (CMM) based on a large language model (LLM), aiming to explore potential compatibility patterns among CMMs from the semantic perspective of CMM property theory. Methods: First, a CMM property knowledge base was constructed based on Chinese Materia Medica, including 567 commonly used CMMs characterized by four properties, five flavors, and meridian tropism. Then, 49 CMMs derived from 10 prescriptions for Zangdu (脏毒, pathogenic toxins) recorded in Waike Zhengzong (《外科正宗》, Orthodox Manual of External Medicine) and Yangke Xinde Ji (《疡科心得集》, Collected Insights on Ulcer Medicine) were selected as the experimental dataset. Five semantic representation methods—One-Hot, Word2Vec, Bidirectional Encoder Representations from Transformers (BERT), Beijing Academy of Artificial Intelligence General Embedding (BGE), and Qwen—were applied to encode CMM property information into vector representations. Subsequently, t-distributed Stochastic Neighbor Embedding (t-SNE) was used for nonlinear dimensionality reduction on high-dimensional semantic vectors, followed by k-means clustering (k = 7). Clustering performance was evaluated using the Silhouette Score (SS), Davies-Bouldin Index (DBI), and Calinski-Harabasz Index (CHI). Results: The Qwen-based clustering method, CMM-EmbedCluster, achieved the highest SS (0.607 4) and CHI (158.057 2), as well as the lowest DBI (0.499 5), indicating improved cluster separation and compactness compared with other methods. Visualization of CMM clustering results showed that the clusters were well separated in the low-dimensional space, with strong inter-cluster discrimination and high intra-cluster functional consistency. Further interpretability analysis of CMM clustering results revealed stable structural differences among clusters in terms of four properties, five flavors, and meridian tropism, forming functional partitions consistent with CMM property theory. Conclusion CMM-EmbedCluster utilizes an LLM to achieve semantic-level representation and clustering of CMMs within the framework of CMM property theory, providing support for exploring potential compatibility patterns among CMMs from the perspective of CMM property semantics.

Objective This study aims to investigate the work fatigue risks of clinical nursing staff in a tertiary hospital in Xingguo County and analyze the influencing factors,providing a reference for formulating scientific work processes and systems and improving nursing quality.Methods A convenience sampling was conducted to select 179 clinical nurses from a tertiary hos-pital in Xingguo County from March to April 2025.A self-designed general information questionnaire,a clinical nursing staff work fatigue risk assessment questionnaire,and the nurse work stressor scale were used for the investigation.Univariate and multiple linear regression analyses were conducted to identify the influencing factors of work fatigue risks.Results A total of 186 ques-tionnaires were distributed,with 7 excluded as invalid and 179 valid responses(96.24％).The work fatigue risk assessment score of the 179 clinical nurses was(84.39±10.26),indicating a relatively high level of fatigue.There were significant differ-ences in work fatigue risk scores across genders,weekly working hours,years of work experience,contract types,and work stress levels(P＜0.05).Multiple linear regression analysis showed that gender(B=0.624,95％CI=0.194～1.054),weekly work-ing hours(B=0.037,95％CI=0.067～0.007),years of work experience(B=0.028,95％CI=0.010～0.046),contract type(B=-0.517,95％CI=-0.997～-0.037),and work stress(B=0.127,95％CI=0.050～0.204)were the influen-cing factors of work fatigue risks(P＜0.05).Conclusion The work fatigue risks of clinical nursing staff in a tertiary hospital in Xingguo County are at a relatively high level.Gender,weekly working hours,years of work experience,contract type,and work stress are the main influencing factors.Nursing managers should pay attention to these factors and take targeted measures to inter-vene and reduce the work fatigue risks of nursing staff.

Objective To analyze the temporal changing trend of postoperative pneumonia(POP)monitoring data in a tertiary first-class cancer hospital in Fujian Province from 2018 to 2023,and provide reference for the effective-ness of implementation of healthcare-associated infection(HAI)prevention and control measures.Methods The temporal changing trend of POP monitoring data of cancer patients in this hospital from 2018 to 2023 was analyzed by Joinpoint regression model,and the average annual percentage change(AAPC)was calculated.Results From 2018 to 2023,the POP incidences of all cancer patients and patients with different tumors in this hospital were as follows:3.46％in all cancer patients,4.77％,18.16％,11.50％,4.66％,0.85％,3.74％,and 0.46％in pa-tients with lung cancer,esophageal cancer,gastric cancer,intestinal cancer,gynecological tumors,hepatobiliary-pancreatic tumor,as well as head and neck tumors,respectively.From 2018 to 2023,the POP incidence of all can-cer patients in the hospital decreased from 5.47％to 1.73％,and POP incidences of patients with lung cancer,gas-tric cancer,and intestinal cancer decreased from 12.23％,14.93％,and 4.40％to 2.60％,3.73％,and 2.09％,respectively.Joinpoint regression model analysis showed that from 2018 to 2023,the AAPC of POP incidence of all cancer patients in the hospital was-19.78％,and the AAPCs of patients with lung cancer,gastric cancer,and in-testinal cancer were-23.69％,-27.30％,and-19.40％,respectively.The incidences of POP in all cancer pa-tients,as well as patients with lung cancer,gastric cancer,and intestinal cancer all showed downward trends,and the differences were all statistically significant(all P＜0.05).According to age,the AAPCs of the ≤60 and＞60 year old groups were-22.02％and-20.48％,respectively,both groups showed statistically significant difference in trends(both P＜0.05).In terms of gender,the AAPCs of the male and female groups were-16.56％and-28.35％,respectively,both groups showed statistically significant difference in trends(both P＜0.05).From 2018 to 2023,Klebsiella pneumoniae showed a significant upward trend in the constituent of POP pathogens in cancer patients,with an AAPC of 6.92％,and the difference was statistically significant(P＜0.05).Conclusion The incidences of POP in some cancer patients in the hospital present significant downward trends,indicating that HAI infection prevention and control measures are effective,but it is still necessary to strengthen the meticulous management of the whole perioperative process.

Medical simulation-based assessments have emerged as a vital method for evaluating the clinical competence of healthcare professionals. These assessments provide examinees with opportunities to practice clinical skills in a controlled environment that mirrors real-life medical scenarios. However, assessment organizers must implement specific measures to ensure that these assessments yield valid and reliable results. The reliability of simulation-based assessments is a crucial component of quality assurance. This article delineates twelve practical recommendations to enhance the reliability of medical simulation-based assessments across the three key dimensions of raters, simulation environment, and assessment tools. These recommendations include ① selecting raters with relevant professional backgrounds and extensive experience in simulation-based teaching and assessment; ②providing raters with standardized training for the assessment; ③conducting mock ratings and piloting to reach consensus among raters; ④preventing excessive work hours or cognitively overload while rating; ⑤providing standardized personnel with adequate training and re-training; ⑥implementing immediate and long-term quality assurance measures for standardized patient role performance; ⑦maintaining consistent operation of simulation equipment; ⑧guaranteeing the simulation provides adequate functional fidelity for the examinees; ⑨clearly defining each element and item in assessment tools while controlling their quantity; ⑩ensuring consistency when multiple assessment tools are used; 11using assessment tools with evidence of construct validity when possible; and 12establishing systems to ensure consistency in data (scoring) collection while safeguarding data security. These strategies aim to assist medical educators in developing structured and reliable simulation-based assessment schemes.

To further investigate the molecular genetic characteristics of enzomatic nasal tumor vi-rus of goats(ENTV-2)in Yunnan Province,this study measured and analyzed the entire genome of ENTV-2 in Yunnan Province.The results showed that the complete genome sequence of the EN-TV-2 YN2023 strain(GenBank accession number:PP682590.1)was successfully obtained.The YN2023 strain has a total length of 7 307 bp and a typical structure of 5'-M5-gag-pro-pol-env-M3-3'.Whole genome sequence homology analysis showed that the nucleotide homology between YN2023 strain and 41 reference strains ranges from 85.3％to 95.5％.The whole genome evolution-ary tree indicates that the YN2023 strain is closely related to the prevalent strains in China,with certain genetic diversity and geographical clustering.The analysis of the gag gene evolutionary tree shows that the gag gene cluster of YN2023 strain is on a branch of the ENTV-2 gag gene,and YN2023 is clustered on the same small branch as enENTV-FJ1 and GDQY2017 strains,with the closest genetic relationship.The env gene evolutionary tree shows that YN2023 is on the same branch as GDQY2017,GDZJ2022,ENTV-2CHN1-6,ENTV-FJ1,and ENTV-FJ3,and is also on the same branch as GDQY2017,indicating a close genetic relationship.Recombination analysis showed that the YN2023 strain underwent a potential recombination event between breakpoint positions 6378-7478 bp,with the Chinese Chongqing strain enENTV-CQ1(OR669623.1)as the primary parent and the Chinese Sichuan strain BH(MT254062.1)as the secondary parent.This study enriches the genomic information of the ENTV-2 strain in Yunnan Province and provides data sup-port for the genetic variation of ENTV-2 in Yunnan Province.

To further investigate the molecular genetic characteristics of enzomatic nasal tumor vi-rus of goats(ENTV-2)in Yunnan Province,this study measured and analyzed the entire genome of ENTV-2 in Yunnan Province.The results showed that the complete genome sequence of the EN-TV-2 YN2023 strain(GenBank accession number:PP682590.1)was successfully obtained.The YN2023 strain has a total length of 7 307 bp and a typical structure of 5'-M5-gag-pro-pol-env-M3-3'.Whole genome sequence homology analysis showed that the nucleotide homology between YN2023 strain and 41 reference strains ranges from 85.3％to 95.5％.The whole genome evolution-ary tree indicates that the YN2023 strain is closely related to the prevalent strains in China,with certain genetic diversity and geographical clustering.The analysis of the gag gene evolutionary tree shows that the gag gene cluster of YN2023 strain is on a branch of the ENTV-2 gag gene,and YN2023 is clustered on the same small branch as enENTV-FJ1 and GDQY2017 strains,with the closest genetic relationship.The env gene evolutionary tree shows that YN2023 is on the same branch as GDQY2017,GDZJ2022,ENTV-2CHN1-6,ENTV-FJ1,and ENTV-FJ3,and is also on the same branch as GDQY2017,indicating a close genetic relationship.Recombination analysis showed that the YN2023 strain underwent a potential recombination event between breakpoint positions 6378-7478 bp,with the Chinese Chongqing strain enENTV-CQ1(OR669623.1)as the primary parent and the Chinese Sichuan strain BH(MT254062.1)as the secondary parent.This study enriches the genomic information of the ENTV-2 strain in Yunnan Province and provides data sup-port for the genetic variation of ENTV-2 in Yunnan Province.

Objective:To explore the effectiveness of nursing based on the Roy model in patients with Guillain-Barre syndrome (GBS) .Methods:Convenience sampling was used to select 55 patients with GBS at the First People's Hospital of Shangqiu between January 2020 and May 2024 as study subjects. Patients were divided into an intervention group ( n=28) and a control group ( n=27). Control group received conventional nursing, while intervention group received nursing based on Roy adaptation model. The recovery time, psychological state, and social support of the two groups of patients were compared. Results:Intervention group demonstrated shorter recovery times, lower anxiety and depression scores, and higher Social Support Rating Scale scores compared to control group, with all differences being statistically significant ( P<0.05) . Conclusions:The Roy model nursing in this study of GBS patients, effectively improves recovery outcomes, psychological state, and social support among GBS patients through comprehensive assessment, personalized nursing intervention, and ongoing evaluation.

ObjectiveTo explore the data standard system of electronic medical records in the field of rehabilitation, focusing on the terminology and coding standards, data structure, and key content categories of rehabilitation electronic medical records. MethodsBased on the Administrative Norms for the Application of Electronic Medical Records issued by the National Health Commission of China, the electronic medical record standard architecture issued by the International Organization for Standardization and Health Level Seven (HL7), the framework of the World Health Organization Family of International Classifications (WHO-FICs), Basic Architecture and Data Standards of Electronic Medical Records, Basic Data Set of Electronic Medical Records, and Specifications for Sharing Documents of Electronic Medical Records, the study constructed and organized the data structure, content, and data standards of rehabilitation electronic medical records. ResultsThe data structure of rehabilitation electronic medical records should strictly follow the structure of electronic medical records, including four levels (clinical document, document section, data set and data element) and four major content areas (basic information, diagnostic information, intervention information and cost information). Rehabilitation electronic medical records further integrated information related to rehabilitation needs and characteristics, emphasizing rehabilitation treatment, into clinical information. By fully applying the WHO-FICs reference classifications, rehabilitation electronic medical records could establish a standardized framework, diagnostic criteria, functional description tools, coding tools and terminology index tools for the coding, indexing, functional description, and analysis and interpretation of diseases and health problems. The study elaborated on the data structure and content categories of rehabilitation electronic medical records in four major categories, refined the granularity of reporting rehabilitation content in electronic medical records, and provided detailed data reporting guidance for rehabilitation electronic medical records. ConclusionThe standardization of rehabilitation electronic medical records is significant for improving the quality of rehabilitation medical services and promoting the rehabilitation process of patients. The development of rehabilitation electronic medical records must be based on the national and international standards. Under the general electronic medical records data structure and standards, a rehabilitation electronic medical records data system should be constructed which incorporates core data such as disease diagnosis, functional description and assessment, and rehabilitation interventions. The standardized rehabilitation electronic medical records scheme constructed in this study can support the improvement of standardization of rehabilitation electronic medical records data information.

ObjectiveTo analyze the data structure and standards of rehabilitation outpatient medical records, to provide data support for improving the quality of rehabilitation outpatient care and developing medical insurance payment policies. MethodsBased on the normative documents issued by the National Health Commission, Basic Standards for Medical Record Writing and Standards for Electronic Medical Record Sharing Documents, in accordance with the Quality Management Regulations for Outpatient (Emergency) Diagnosis and Treatment Information Pages (Trial), reference to the framework of the World Health Organization Family of International Classifications (WHO-FICs), the data framework and content of rehabilitation outpatient medical records were determined, and the data standards were discussed. ResultsThis study constructed a data framework for rehabilitation outpatient medical records, including four main components: patient basic information, visit process information, diagnosis and treatment information, and cost information. Three major reference classifications of WHO-FICs, International Classification of Diseases, International Classification of Functioning, Disability and Health, and International Classification of Health Interventions,were used to establish diagnostic standards and standardized terminology, as well as coding disease diagnosis, functional description, functional assessment, and rehabilitation interventions, to improve the quality of data reporting, and level of quality control in rehabilitation. ConclusionThe structuring and standardization of rehabilitation outpatient medical records are the foundation for sharing of rehabilitation data. The using of the three major classifications of WHO-FICs is valuable for the terminology and coding of disease diagnosis, functional description and assessment, and intervention in rehabilitation outpatient medical records, which is significant for sharing and interconnectivity of rehabilitation outpatient data, as well as for optimizing the quality and safety of rehabilitation medical services.

ObjectiveTo explore the standardization of inpatient rehabilitation medical record summary sheet, encompassing its structure, content and data standards, to enhance the standardization level of inpatient rehabilitation medical record summary sheet, improve data reporting quality, and provide accurate data support for medical insurance payment, hospital performance evaluation, and rehabilitation discipline evaluation. MethodsBased on the relevant specifications of the National Health Commission's Basic Norms for Medical Record Writing, Specifications for Sharing Documents of Electronic Medical Records, and Quality Management and Control Indicators for Inpatient Medical Record Summary Sheet (2016 Edition), this study analyzed the structure and content of the inpatient rehabilitation medical record summary sheet. The study systematically applied the three major reference classifications of the World Health Organization Family of International Classifications, International Classification of Diseases (ICD-10/ICD-11, ICD-9-CM-3), International Classification of Functioning, Disability and Health (ICF), and International Classification of Health Interventions (ICHI Beta-3), for disease diagnosis, functional description and assessment, and rehabilitation intervention, forming a standardized terminology system and coding methods. ResultsThe inpatient rehabilitation medical record summary sheet covered four major sections: inpatient information, hospitalization information, diagnosis and treatment information, and cost information. ICD-10/ICD-11 were the standards and coding tools for admission and discharge diagnoses in the inpatient rehabilitation medical record summary sheet. The three functional assessment tools recommended by ICD-11, the 36-item version of World Health Organization Disability Assessment Schedule 2.0, Brief Model Disability Survey and Generic Functioning domains, as well as ICF, were used for rehabilitation functioning assessment and the coding of outcomes. ICHI Beta-3 and ICD-9-CM-3 were used for coding surgical procedures and operations in the medical record summary sheet, and also for coding rehabilitation intervention items. ConclusionThe inpatient rehabilitation medical record summary sheet is a summary of the relevant content of the rehabilitation medical record and a tool for reporting inpatient rehabilitation data. It needs to be refined and optimized according to the characteristics of rehabilitation, with necessary data supplemented. The application of ICD-11/ICD-10, ICF and ICHI Beta-3/ICD-9-CM-3 classification standards would comprehensively promote the accuracy of inpatient diagnosis of diseases and functions. Based on ICD-11 and ICF, relevant functional assessment result data would be added, and ICHI Beta-3/ICD-9-CM-3 should be used to code rehabilitation interventions. Improving the quality of rehabilitation medical records and inpatient rehabilitation medical record summary sheet is an important part of rehabilitation quality control, and also lays an evidence-based data foundation for the analysis and application of inpatient rehabilitation medical record summary sheet.