Objective To explore the influencing factors of the usage behavior of the scientific research management system and provide references for hospitals in constructing scientific research management systems. Methods Data were collected through questionnaires in April 2024. Based on the unified theory of acceptance and use of technology (UTAUT), the information system success model, and the self-efficacy theory, a research model on the influencing factors of the usage behavior of the scientific research management system among medical staff was constructed from the dual perspectives of users and information systems. The structural equation model was utilized to explore the influencing factors of the usage behavior of the scientific research management system. Results A total of 527 questionnaires were collected. Among them, there were 157 males and 370 females. The overall Cronbach α coefficient of the questionnaire was 0.916, and the KMO value was 0.896. For Bartlett’s test of sphericity (P<0.001). The composite reliability of each latent variable was greater than 0.7, and the average variance extracted was greater than 0.5. Therefore, this questionnaire had good reliability and validity. The research showed that information quality, performance expectancy, effort expectancy, and system quality all had significant positive impacts on the usage intention of users of the scientific research management system (P<0.05). Meanwhile, facilitating conditions and usage intention both had significant positive impacts on the usage behavior of users (P<0.05). Conclusions The construction of the scientific research management system should be guided by management needs, comprehensively sort out the general scientific research work needs of medical staff. Through the apply information-based means, various forms of training, and strengthening policy guidance, the aim is to improve the intelligence level of system operations, enhance the convenience of user self-service, and promote the effective construction of the ecosystem of the scientific research management system.
ObjectiveTo explore the application of pre-examination and triage service for outpatients in large general hospitals to improve the quality of service and increase the satisfaction of the patients.
MethodsBy using convenience sampling, the outpatients from four third-class A level hospitals were investigated with self-designed questionnaire between July and August, 2013. The patients were differentiated according to the frequency of visiting doctors; the first and subsequent visit being the variables, the rank-sum test was used to investigate the demand and satisficing of the pre-examination and triage service in the two kinds of outpatients in large general hospitals.
ResultsThe satisficing of the pre-examination and triage service was high; the demand of the service was high in the first-visit patients with high satisficing. The difference in out-patient consultation between the two kinds of patients were significant.
ConclusionPre-examination and triage service has a great guiding effect on outpatients in large general hospitals, and its availability is related to the type of the patients, awareness rate of the service and satisfaction to nurses.
As pigs are similar to humans in anatomy, physiology and pathology, nutrition metabolism and disease characteristics, genetically modified pigs are already used for the studies of disease mechanism, pathology and toxicology and the evaluation of drugs. But the production of large modified animals is difficult, cumbersome, time-consuming and costly. With the breakthrough of gene editing technology, clustered regularly interspersed short palindromic repeat (CRISPR)/CRISPR-associated 9( Cas9)(CRISPR/Cas9) technology has greatly improved the mutation efficiency, reduced the cost and simplified the steps, and promoted the widespread application of genetically modified pigs. In this paper, the production methods of genetically modified pigs and the research progress of genetically modified pigs by CRISPR/Cas9 in the medical field were reviewed.
ObjectiveTo understand the current situation of outpatient service, strengthen outpatient physicians management, maintain outpatient clinical order, and improve the credibility and service quality of public hospitals.MethodsThe measures such as deepening the supply-side reform of outpatient service, strengthening the awareness of integrity service, regulating suspending or substituting diagnosis service management, and optimizing doctors’ scheduling were performed to improve the outpatient service plan management since 2012. The data of outpatient diagnosis and treatment and doctor appraisals from 2013 to 2016 were retrospectively collected from hospital information system, combined with the third party satisfaction data; and the rates of suspending and substituting of outpatient service, clinical service time distribution for doctors at all levels, proportion of appointment register, and the average satisfaction index were analyzed.ResultsThe rates of suspending and substituting of clinical service reduced from 5.8% and 6.4% in 2013 to 2.5% and 4.1% in 2016, respectively, and the differences were statistically significant (P<0.05); the proportion of outpatient physicians with vice-senior title or above from 2014 to 2016 was lower than that in 2013, with the decrease from 81.0% in the morning and 73.0% in the afternoon to 75.9% and 69.1%, respectively; the proportion of appointment register increased from 54.7% in 2013 to 68.2% in 2016; the patients’ satisfaction was higher in 2016 than that in 2015.ConclusionThe outpatient service management of large general hospitals should be patients’ needs-oriented; with the awareness of integrity service, regulating the approval system of suspending or substituting of outpatient service, improving the pre-arranged planning for suspending service, optimizing the qualification admittance system, and improving the regular appraisal system, may effectively solve the problems of unbalanced outpatient physicians resources and service, maintain the good order of medical service, improve medical care quality, and raise patients satisfaction.
The burgeoning application of large language models (LLM) in healthcare demonstrates immense potential, yet simultaneously poses new challenges to the standardization of research reporting. To enhance the transparency and reliability of medical LLM research, an international expert group published the TRIPOD-LLM reporting guideline in Nature Medicine in January 2024. As an extension of the TRIPOD+AI guideline, TRIPOD-LLM provides detailed reporting items specifically tailored to the unique characteristics of LLMs, including general foundational models (e.g., GPT-4) and domain-specific fine-tuned models (e.g., Med-PaLM 2). It addresses critical aspects such as prompt engineering, inference parameters, generative evaluation, and fairness considerations. Notably, the guideline introduces an innovative modular design and a "living guideline" mechanism. This paper provides a systematic, item-by-item interpretation and example-based analysis of the TRIPOD-LLM guideline. It is intended to serve as a clear and practical handbook for researchers in this field, as well as for journal reviewers and editors responsible for assessing the quality of such studies, thereby fostering the high-quality development of medical LLM research in China.
Objective To explore the differences between large and small studies in rare events meta-analysis. Methods Empirical data were collected from The Cochrane Systematic Review Database from January 2003 to May 2018. Meta-analyses with rare events, binary outcomes involving at least 5 studies, and at least 1 large study were screened. Peto and classical ORs were used to compare the magnitude, direction and P-value. Results A total of 214 meta-analyses were included. Among 214 pairs of ORs of large and small studies, 66 pairs (30.84%) were inconsistent in the direction of ORs based on Peto OR (Kappa =0.33), and 69 pairs (32.24%) were inconsistent in the direction of ORs based on classical OR. The Peto ORs resulted in smaller P-values compared to classic ORs in a substantial (83.18%) number of cases. Conclusion There are considerable differences between large and small studies in the results of meta-analysis of rare events.
Objective
To investigate and analyze the 3-year physical examination results of the employees of a large financial enterprise in Chengdu, explore the key factors of health management and provide scientific basis for implementing reasonable health management.
Methods
The physical examination results of the employees of a large financial enterprise in Chengdu from 2012 to 2014 were analyzed, and the common abnormal results in the physical examination were summarized.
Results
The proportion of the employees whose physical examination results were completely normal in 2012, 2013, and 2014 was 4.97%, 2.01%, and 1.48%, respectively, showing a decreasing trend. Overweight, fatty liver and elevated triglycerides were always the top three of the abnormal examination results; the detection rates of which in the male staff were much higher than those in the female staff (P<0.05). In the female staff, the detection rate of overweight was always in the first place; the detection rate of columnar ectopy was always in the top three; the detection rate of liver cyst was in third place in 2013; and the detection rate of Nabothian cyst was in the second place in 2014.
Conclusion
The health management program of employees of this large financial enterprise is poor, thus health management should be paid enough attention to improve the employees’ physical quality.
