Objective To construct large medical model named by "Huaxi HongYi"and explore its application effectiveness in assisting medical record generation. Methods By the way of a full-chain medical large model construction paradigm of "data annotation - model training - scenario incubation", through strategies such as multimodal data fusion, domain adaptation training, and localization of hardware adaptation, "Huaxi HongYi" with 72 billion parameters was constructed. Combined with technologies such as speech recognition, knowledge graphs, and reinforcement learning, an application system for assisting in the generation of medical records was developed. Results Taking the assisted generation of discharge records as an example, in the pilot department, after using the application system, the average completion times of writing a medical records shortened (21 min vs. 5 min) with efficiency increased by 3.2 time, the accuracy rate of the model output reached 92.4%. Conclusion It is feasible for medical institutions to build independently controllable medical large models and incubate various applications based on these models, providing a reference pathway for artificial intelligence development in similar institutions.

Objective: To reveal the molecular mechanism underlying the compatibility of Salvia miltiorrhiza Bge (S. miltiorrhiza, Dan Shen) and C. tinctorius L. (C. tinctorius, Hong Hua) as an herb pair through network pharmacology and subsequent experimental validation. Methods: Network pharmacology was applied to construct an active ingredient-efficacy target-disease protein network to reveal the unique regulation pattern of S. miltiorrhiza and C. tinctorius as herb pair. Molecular docking was used to verify the binding of the components of these herbs and their potential targets. An H9c2 glucose hypoxia model was used to evaluate the efficacy of the components and their synergistic effects, which were evaluated using the combination index. Western blot was performed to detect the protein expression of these targets. Results: Network pharmacology analysis revealed 5 pathways and 8 core targets of S. miltiorrhiza and C. tinctorius in myocardial protection. Five of the core targets were enriched in the hypoxia-inducible factor-1 (HIF-1) signaling pathway. S. miltiorrhiza-C. tinctorius achieved vascular tone mainly by regulating the target genes of the HIF-1 pathway. As an upstream gene of the HIF-1 pathway, STAT3 can be activated by the active ingredients cryptotanshinone (Ctan), salvianolic acid B (Sal. B), and myricetin (Myric). Cell experiments revealed that Myric, Sal. B, and Ctan also exhibited synergistic myocardial protective activity. Molecular docking verified the strong binding of Myric, Sal. B, and Ctan to STAT3. Western blot further showed that the active ingredients synergistically upregulated the protein expression of STAT3. Conclusion The pharmacodynamic transmission analysis revealed that the active ingredients of S. miltiorrhiza and C. tinctorius can synergistically resist ischemia through various targets and pathways. This study provides a methodological reference for interpreting traditional Chinese medicine compatibility.

In the process of conducting implementation research on health service issues, stakeholders' preference for contents related to evidence-based practice (EBP) and implementation strategies is closely related to whether EBP can be effectively implemented.However, multiple preference assessment methods exist, each with their own strengths, weaknesses, and application scenarios, which makes it challenging for researchers to select appropriate and effective preference assessment methods. This paper aims to review the origins, characteristics, and application scenarios of commonly used preference assessment methods, with the hope of providing valuable reference and lessons for domestic scholars to select and apply appropriate preference assessment methods in implementation research.

In the field of healthcare service, it is crucial to optimize medical innovation services by combining the preferences of health service providers and demanders (i.e., stakeholders). The best-worst scaling (BWS) method is a recently developed stated preference method for assessing preferences with distinctive advantages. Nevertheless, there is a lack of a comprehensive introduction to stakeholder preference assessment using BWS, thus constraining its applications and promotion. This paper introduces the process of using BWS to assess service providers' preferences for the Shared Medical Appointment for diabetes (SMART), an integrated healthcare service of medicine and health management, in the hope of providing reference for researchers for promoting the use of BWS in implementation research.

Implementation strategies are targeted interventions aimed at promoting the adoption, implementation, and sustainment of research findings or evidence-based practices in routine healthcare. If implementation strategies can precisely match implementation barriers and facilitators, the likelihood of successful implementation will increase. The CFIR-ERIC matching tool, which can match corresponding ERIC implementation strategies based on CFIR barriers, is a convenient and direct tool for developing implementation strategies. This paper provides a detailed overview of the origins and development of the CFIR-ERIC matching tool, outlines its contents and usage, and illustrates how to apply the tool to develop implementation strategies by using a brief smoking cessation intervention project as an example. The paper also discusses the advantages and limitations of using this tool for developing implementation strategies, with the aim of providing methodological reference for other researchers.

In the process of conducting implementation research on health service issues, stakeholders' preference for contents related to evidence-based practice (EBP) and implementation strategies is closely related to whether EBP can be effectively implemented.However, multiple preference assessment methods exist, each with their own strengths, weaknesses, and application scenarios, which makes it challenging for researchers to select appropriate and effective preference assessment methods. This paper aims to review the origins, characteristics, and application scenarios of commonly used preference assessment methods, with the hope of providing valuable reference and lessons for domestic scholars to select and apply appropriate preference assessment methods in implementation research.

Objective To determine the scores of patients with a confirmed diagnosis of drug-induced liver injury(DILI)using Roussel Uclaf Causality Assessment Method(RUCAM),Maria&Victorino assessment scale,and Revised Electronic Causality Assessment Method(RECAM),to compare the accuracy of the three scales in diagnosis,and to investigate their clinical significance in the diagnosis of DILI.Methods A total of 98 patients with a confirmed diagnosis of DILI who were hospitalized in Peking University First Hospital from January 2011 to December 2022 were enrolled,with liver biopsy results supporting DILI and a clear history of medication.Clinical data were collected from all subjects,and the above causality assessment scales were used for scoring.The chi-square test was used to analyze the diagnostic accuracy of the causality assessment scales,and the weighted kappa coefficient was used to analyze the consistency between the three scales.Results For all patients with DILI enrolled,RECAM had the highest accuracy,with a significant difference compared with RUCAM(χ2=5.667,P=0.017).RUCAM and RECAM had moderate consistency in diagnosis(κw=0.469),while RECAM and Maria&Victorino scale had poor consistency(κw=0.156).For the patients with acute DILI,RECAM,RUCAM,and Maria&Victorino scales had a diagnostic inconsistency rate of 3.7%,11.1%,and 42.6%,respectively;for the patients with hepatocellular type DILI,the three scales of a diagnostic inconsistency rate of 8.9%,21.4%,and 62.5%,respectively;for the patients with cholestasis type or mixed type DILI,the three scales of a diagnostic inconsistency rate of 10.0%,22.5%,and 47.5%,respectively.Conclusion The use of RECAM and RUCAM scales in acute DILI can improve diagnostic rate,and for hepatocellular type DILI and DILI with the clinical manifestation of cholestasis(cholestasis type DILI and mixed type DILI),the use of RECAM and RUCAM scales can also improve diagnostic rate.The selection of causality assessment scales with a relatively high accuracy based on the course and clinical classification of the disease may help to further improve clinical diagnostic rate.

Objective To explore the potential pathogenic genes of intestinal metaplasia.Methods Twenty-one patients with intestinal metaplasia admitted to the Department of Gastroenterology at the Second Affiliated Hospital of Anhui University of Chinese Medicine from January,2022 to June,2022,and 21 healthy subjects undergoing gastroscopic examination during the same period were enrolled in this study.All the participants underwent gastroscopy and pathological examination,and gastric tissue samples were collected for transcriptome sequencing to screen for differentially expressed genes(DEGs).The biological functions of the DEGs were analyzed using bioinformatics analysis,and qRT-PCR was used to validate the results.Results Transcriptomic sequencing identified a total of 1373 DEGs,including 827 upregulated and 546 downregulated ones.The top 6 upregulated genes(AGMAT,CCL25,FABP1,CDX1,SPINK4,and MUC2),ranked based on their significance and average expression level,were selected for validation,and qRT-PCR showed significant upregulation of their mRNAs in the gastric tissues of patients with intestinal metaplasia(P<0.05).Conclusion AGMAT,CCL25,FABP1,CDX1,SPINK4,and MUC2 participate in the occurrence and development of intestinal metaplasia,and may serve as potential biomarkers for diagnosing intestinal metaplasia.

Objective to explore the use of performance management as a lever in public hospitals to achieve quality improvement,efficiency enhancement,and high-quality development under the dual influences of na-tional civil service examination and Diagnosis-Related Groups(DRGs)payment policy reform.Methods A questionnaire survey was conducted to summarize the current situation and problems of performance assessment in public hospitals in China.Based on the identified problems,an upgraded performance management system was proposed,and key indicators were selected through a case study in a specific hospital.Results An empirical study in a specific hospital demonstrated the positive effects of the upgraded performance management system on hospital management improvement.Conclusion Public hospitals should establish a long-term mechanism for performance management,focusing on organizational positioning,indicator design,management levers,and talent development,to continuously support high-quality development.

Objective·To analyze the clinicopathologic characteristics of patients with kidney-involved diffuse large B-cell lymphoma(DLBCL),including clinical characteristics,pathological characteristics,gene mutation profiles,and prognostic factors.Methods·One hundred and forty-nine patients with kidney-involved DLBCL,admitted to Ruijin Hospital,Shanghai Jiao Tong University School of Medicine from July 2005 to November 2021,were retrospectively analyzed for their clinicopathological data,survival and prognostic factors,which included therapeutic methods,clinical outcomes,staging,etc.Gene mutation profiles were evaluated by targeted sequencing of 54 lymphoma-related genes.Prognostic factors were also analyzed based on the information mentioned above.Results·A total of 149 kidney-involved DLBCL cases were included,of which 89 patients(58.4%)were aged over sixty,121 patients(81.2%)were staged Ann Arbor Ⅲ?Ⅳ,27 patients(18.1%)had an Eastern Cooperative Oncology Group(ECOG)performance status of two or more,121 patients(81.2%)had elevated serum lactate dehydrogenase(LDH)level,111 patients(74.5%)had extranodal invasion in at least two organs and 131 patients(87.9%)scored over 2 points on the international prognosis index(IPI).The estimated 5-year overall survival(OS)rate and progression-free survival(PFS)rate of kidney-involved DLBCL patients were 52.2%and 50.4%respectively.Univariate analysis revealed that elevated serum LDH levels were an adverse prognostic factor for both OS(P=0.048)and PFS(P=0.033).In pathological characteristics,145 patients(97.3%)belonged to DLBCL,not otherwise specified(NOS)and 39 patients(26.3%)belonged to germinal center B-cell(GCB)according to Hans classification.Among 144 patients who could be evaluated for clinical outcomes,87 patients(60.4%)got complete response(CR).Targeted sequencing data from 75 kidney-involved DLBCL patients showed high mutation frequency in PIM1(n=23,31%),MYD88(n=22,29%),CD79B(n=21,28%)and KMT2D(n=18,24%),with CD79B mutation indentified as an adverse prognostic factor for OS in patients with kidney-involved DLBCL(P=0.034).Conclusion·Elevated serum LDH level is an adverse prognostic factor in patients with kidney-involved DLBCL.The prognosis of patients with CD79B mutations is poor.