Large Language Models (LLMs) are highly sophisticated deep learning models pre-trained on massive datasets, with ChatGPT representing a prominent application of LLMs in the field of generative models. Since the release of ChatGPT at the end of 2022, generative chatbots have become widely employed across various medical disciplines. As a crucial discipline guiding clinical practices, the usage of generative chatbots like ChatGPT in Evidence-Based Medicine (EBM) is gradually increasing. However, the potential, challenges, and intricacies of their application in the domain of EBM remain unclear. This paper aims to explore and discuss the prospects, challenges, and considerations associated with the application of ChatGPT in the field of EBM through a review of relevant literature. The discussion spans four aspects: evidence generation, synthesis, assessment, dissemination, and implementation, providing researchers with insights into the latest developments and future research suggestions.
In order to promote the effective development of hospital day surgery mode, a construction method of information management platform that meets the characteristics of day surgery mode is presented. By analyzing the business process of the day surgery mode, the system architecture of the information platform is given; according to the difficulty of the surgical scheduling, the two-stage surgical scheduling algorithm based on the ranking theory is given; by analyzing the day surgery data statistically, a multi-angle surgical index analysis module is provided. The information management of the day surgery mode has been realized, and the work efficiency has been improved. A reasonable day surgery information platform construction can help to optimize the daytime surgical procedure and promote the smooth development of day surgery.
Objective To evaluate the quality of undergraduate medical education so as to provide useful and effective feedback information for medical schools and to extend GMER (Global Minimum Essential Requirements in Medical Education) standard. Methods Through questionnaires, 205 resident doctors self-evaluated their abilities or qualities based on GMER standard. The unconditioned logistic regression model was used for data analysis. Results Graduates from undergraduate medical programs mastered the abilities or qualities required in 4 GMER domains i.e. “professional values, attitudes, behaviors and ethics”, “clinical skills”, “communication skills”, and “scientific foundation of medicine”. But the abilities or qualities required in “information management”, “population health and health systems” as well as “critical thinking and research” domains have not been obtained. The main factors that affected the evaluation results were corresponding training to the essentials, learner’s attitude, teaching models and teaching hours. Conclusion Educational sectors should adjust curriculum design so as to help medical students master the abilities required in the 3 domains stated above. Medical schools should conduct some educational research to formulate the most beneficial teaching methods, and import advanced ones to raise the quality of medical education in China.
Objective To systematically evaluate the quality of published pharmacoeconomics studies on Chinese patent medicines for neoplasms. Methods Datasets including CNKI, WanFang Data, VIP, SinoMed, PubMed, Web of Science, Cochrane Library, and EMbase were searched to collect pharmacoeconomics studies of Chinese patent medicines in neoplasms from the establishment of the database to September 30, 2022. Consolidated health economic evaluation reporting standards 2022 (CHEERS 2022) and quality of health economics studies (QHES) were used to evaluate the reporting quality and methodological quality. Results A total of 25 studies were included, with an average CHEERS 2022 coincidence rate of 40.09% and an average QHES score of 53.2. Conclusion The quantity and quality of pharmacoeconomics studies on Chinese patent medicines in neoplasms are insufficient and flawed. It is suggested to strenthen the collaboration between scientific research institutions and hospitals and standardize the pharmacoeconomics studies on Chinese patent medicines in neoplasms to provide hygienic decision-making evidence for Chinese patent medicines in neoplasms.
Based on previous evidence-based researches and teaching experience, our team conducted literature and book review, and summarized 4 requirements, 1) effect measure calculation and conversion, 2) registration of evidence-based research, 3) evidence-based research database and 4) quality evaluation tools and reporting guidelines. We developed an online platform of evidence-based medicine research helper using the front-end and back-end technology, which can be accessed using www.ebm-helper.cn. Currently, the online tool has included 46 scenarios for effect measure calculation and conversion, introduction of 7 evidence-based research registration platforms, 26 commonly used databases for evidence-based research and 29 quality evaluation tools and reporting guidelines. This online tool can help researchers to solve specific problems encountered in different stages of evidence-based medicine research. Promoting the application of this platform in evidence-based medicine will help researchers to use the tool scientifically and improve research efficiency.
The current issue of air pollution has pushed the development of the corresponding observational air pollution studies. The World Health Organization has developed a new risk of bias (RoB) assessment instrument and a related guideline for assessing the risk of potential bias in observational air pollution studies. This study introduced the background, methods, uses, advantages and disadvantages, precautions, and usage scenarios of the RoB instrument. It is expected to provide researchers with corresponding quality evaluation tools when writing related systematic review and meta-analysis, which will also help provide reporting standards for observational air pollution studies, thereby improving the quality of studies.
ObjectiveWe constructed a real-world evidence evaluation system to provide reference for obtaining high-quality evidence in evidence-based medicine.MethodsThrough the investigation and analysis of the key factors influencing the real-world research evidence, combined with domestic and foreign literature and evaluation tools, we preliminarily constructed the indicators of the real-world evidence evaluation system, then consulted experts in related fields by the Delphi method, modified and determined the final evaluation indicators. ResultsThe indicators of the final real-world evidence evaluation system included 40 items. The recovery efficiencies of the two rounds of expert consultation were 88.2% and 100%; The expert coordination coefficients were 0.174 (P<0.001) and 0.189 (P<0.001). After the second round of consultation, the mean of Likert scale in the range of 3.73~4.93, and the coefficient of variation varied in the range of 0.05~0.21. ConclusionThe real-world evidence evaluation system constructed in this study has certain reliability and scientificity, which can provide a basis and help for the transformation of real-world research into high-quality evidence.
Objective
To assess the quality of budget impact analysis in China and Canada.
Methods
We searched databases including PubMed, EMbase, The Cochrane Library, CNKI, WanFang Data and VIP from inception to 1st November, 2016, to collect studies about budget impact analysis. Two reviewers independently screened literatures, extracted data and assessed the quality of included studies.
Results
27 literatures were included. The mean grades of Chinese and Canadian literatures were 3.8 and 5.5, respectively. Some Chinese studies did not explicitly clarify the research perspective. Few studies in China were conducted according to budget holders’ perspective and with a short time horizon, or examined the results using sensitivity analyses responsive to the uncertainty surrounding future market developments, or compared between current and comparator scenarios. These deficiencies were not conducive to scientific and rational decision-making.
Conclusion
The quality of budget impact analysis is relatively low in China. It is needed to establish uniform budget impact analysis guideline to improve quality to guide decision making.
Objective To evaluate the methodological and reporting qualities of randomize controlled trials involving MTC (microwave tissue coagulation) therapy for cervical erosion. Methods Through computer and handsearch, randomized controlled trials (RCTs) and/or quasi-randomized controlled trials (quasi-RCTs) were collected. The methodological quality of the included studies was assessed using quality assessment criteria of Cochrane systematic review guideline, and the reporting quality was assessed using the CONSORT (Consolidated Standards of Reporting Trials) checklist.Results Eleven clinical controlled trials (CCTs) were included. Three were RCTs and eight were quasi-RCTs. The methodological and reporting qualitiy of the included studies was generally low (10 trials ranked Level C, and the maximum CONSORT score was only 17).Conclusions The quality of the CCTs involving microwave therapy for cervical erosion is generally low with a high risk of biases. And the reporting of these trials is also incomplete. Therefore, more randomized controlled trials of high quality are required to provide reliable evidence.
Objective To investigate patients in gynecological endocrinology clinic with the following three pieces of information: how did they provide their symptom information, how did they understand diagnostic and therapeutic information, and what was their attitude towards the visit, and to get to know about the situation and problems in doctor-patient communication, so as to aim directly at improving the efficiency of diagnosis and treatment. Methods A total of 403 patients, who visited Prof. HAN Zi-yan’s clinic in the hospital from April to August 2010, were evaluated using self-edited Assessment on Doctor-patient Communication in Gynecological Endocrinology Outpatient Clinic. Results a) As to the situation of patients providing symptom information as well as understanding diagnostic and therapeutic information, when doctor asked, only 29% (118/403) of patients could narrate their treatment history clearly, and 38% (152/403) could tell their examination history exactly. After doctors’ explanation, only 21% (86/403) understood their examination results correctly, and 27% (108/403) understood management and therapeutic advice. The result of correlation analysis showed the accuracy of patients in providing disease information and accepting diagnostic and therapeutic information was higher in patients aged from 21 to 40 rather than those younger than 20, in patients well- educated rather than those with little education at the primary school, and in patients who were also engaged in medical work, All differences were significant (all Plt;0.05); and b) As to patients’ attitude towards visit, 55% (222/403) of patients hoped to get more attention from doctor, and 37.5% (151/403) overly expected the visit. Conclusion In the professor’s gynecological endocrinology outpatient clinic, many patients can’t clearly provide their treatment and examination history, neither understand exam situation and therapeutic advice at that visit, which are influenced by their age, education and occupation. In addition, psychological needs of patients should be concerned, too
