Objective To investigate the hot topics of research on evidence-based medicine in 2002. Method To search MEDLINE for papers on evidence-based medicine published in 2002, identify high-frequency subject headings related to research on evidence-based medicine, and cluster the high-frequency subject headings according to rates they appeared in common papers. Results 545 papers, 1 554 subject headings, 30 high-frequency subject headings on evidence-based medicine, and nine clustering categories of high-frequency subject headings were identified through search. Conclusions Both high-frequency subject headings and their clustering categories suggested that “evidence-based practice guidelines and their innovation”, “evidence-based health research and health policy”, “methodology on systematic reviews and randomized clinical trials”, “method of evidence-based decision making and its application in various subjects”, were the hot topics of evidence-based medicine. They provided useful references for Chinese medical professionals to practice evidence-based medicine.
Objective To provide a reference for the best evidence-based medicine (EBM) education modelby retrospective analysis and summary the EBM education model of the EBM center of Lanzhou University for medicalpostgraduates. Methods To utilize students’ spare time we changed the traditional teaching method, and instead used problem based learning and academic discussions to teach postgraduates how to design and apply research. Results Sixtytwo postgraduates were trained and completed 73 research papers and registered 33 Cochrane systematic reviews. Twentythree papers were published in foreign journals (SCI) as first authors, 34 papers were published in domestic journals. Five students received awards in the academic conference of Lanzhou University. Conclusion Medical students will benefit from taking part in EBM research. This education model will help them not only understand the methods of clinical research and EBM and improve the quality of their research and their cooperative skills, but also master related clinical knowledge.
ObjectiveTo explore the application of artificial intelligence in postoperative follow-up of day surgery patients, so as to establish an intelligent medical framework, promote the intelligent process of hospitals, and improve the management level of day surgery.MethodsThe artificial intelligence phonetic system was carried out by the Day Surgery Center, Renji Hospital, Shanghai Jiaotong University School of Medicine on June 1st, 2018. Through the system, the artificial intelligence voice system based on speech and semantic recognition technology was adopted to connect the data of the information center in the hospital to carry out postoperative follow-up of day surgery patients. We selected the 2 245 patients followed up by the artificial intelligence phonetic system from June 1st to November 30th 2018 (the AI follow-up group) and the 2 576 patients followed up by the traditional manual method from January 2nd to May 31st 2018 (the manual follow-up group), to compare the telephone connection rate, information collection rate, and call duration between them.ResultsThere was no statistically significant difference in telephone connection rate (85.70% vs. 86.68%) or information collection rate (98.86% vs. 98.48%) between the AI follow-up group and the manual follow-up group (P>0.05); but there was a statistically significant difference in call duration between the AI follow-up group and the manual follow-up group [(165.48±43.28) vs. (135.37±36.31) seconds, P<0.05], and the AI follow-up group had a longer call duration.ConclusionsThe application of artificial intelligence phonetic system in surgery has a good performance in call connection rate and information collection integrity. It plays an active role in improving efficiency, extending medical services and strengthening medical safety in the management of day surgery.
This article briefly introduces the management of clinical trials of investigational new drugs, hospital-made preparations, post-marketing drugs and other types of clinical trials. The WHO International Clinical Trial Register Platform (WHO ICTRP), Chinese Clinical Trial Register (ChiCTR) and Chinese Clinical Trial Registration and Publishing Collaboration (ChiCTRPC) are also described. People conducting trials are advised to apply the basic philosophy of evidence-based medicine in their implementation, which is considered to be one of the guarantees of the validity of clinical trials.
Evidence-based medicine (EBM) is a new technique for medical research. It is interesting to know how to publish a high quality paper after clinical trial by the criteria of EBM. This paper presents our experience on clinical trials as well as publishing EBM papers, including the aim of research, the design of study methods, the selection and application of statistical methods, the analysis of study results, feedback to the reviewer’s comments, and other technology related to the submitted manuscript, in order to improve the skill of publishing EBM study in our country.
Despite of the progress in the treatment of severe acute pancreatitis (SAP), there are still factors that hinder the improvement of the efficacy of treatment: there is a lack of an accurate and easy-to-use system for early severity prediction; the multidisciplinary collaboration mechanism needs to be further optimized; there is no clinical efficacy evaluation system for traditional Chinese medicine (TCM); the therapeutic targets of TCM are unclear; the effector substances are unknown; and the research and development of new medicines is still difficult. In order to further reduce the mortality of SAP and realize the goal of improving the efficacy, we should strengthen the integration of Chinese and Western medicine, multidisciplinary collaboration, and improve the treatment levels; as well as carry out basic and clinical research oriented to clinical value. We will also promote the innovative development of combined Chinese and Western medicine in the treatment of SAP by elucidating the mechanism, validating the efficacy and commercializing the achievements. In view of SAP, a major and difficult disease, we should insist on the principle of integrity and innovation, the synergy of Chinese and Western medicines and the complementarity of advantages, and promote the innovation and development of combined Chinese and Western medicines in the treatment of SAP, so as to further reduce the morbidity and mortality and to alleviate the burden of the disease.
Objective To investigate problems in applying clinical epidemiology and evidence-based medicine in the field of dentistry in China. Method In early April of 2001, about 200 copies of a questionnaire were sent to chief editors of dental journals, directors and famous experts of the university dental schools and/or dental departments of the provincial/metropolitan hospitals located in the mainland of China. The sent back questionnaires were summarized and analysized. Results At the end of June, 2001, 40 replies from the experts of 12 universities and one metropolitan dental hospital were received. The main points are summarized as following: EBM in China is at starting stage of "anti-illiteracy" campaign. There are 6 out of 12 universities having delivered clinical epidemiology courses to postgraduates (2 to undergraduates), only 3 added lectures on evidence-based medicine to dental students and/or professionals, only one university held intensive training courses on EBM to clinicians. In dental practice there are still scram dentists making decisions simply by experiences. In the research practice some dentists are eager for quick success, and instant benefits, ignoring, scientific design aid quality control of the studies. Randomized controlled clinical trials are seldom appeared in Chinese dental journals. To popularize EBM in all dental clinicians is important for them to use and produce the best evidences. Conclusions EBM in dental field of China is at starling stage. Collection and dissemination of best dental evidences in dental professionals is a key to raise the dental care levels in China.
With the development of society and the progress of technology, artificial intelligence (AI) and big data technology have penetrated into all walks of life in social production and promoted social production and lifestyle greatly. In the medical field, the applications of AI, such as AI-assisted diagnosis and treatment, robots, medical imaging and so on, have greatly promoted the development and transformation of the entire medical industry. At present, with the support of national policy, market, and technology, we should seize the opportunity of AI development, so as to build the first-mover advantage of AI development. Of course, the development and challenges are coexisted. In the future development process, we should objectively analyze the gap between our country and developed countries, think about the unfavorable factors such as AI chips and data problems, and extend the application and service of AI and big data to all links of medical industry, integrate with clinic fully, so as to better promote the further development of AI medicine treatment in China.