In the context of collaboration between healthcare and education systems, in order to promote competency-oriented medical education reform and improve the clinical capabilities of medical students at all levels, it is urgent to enhance the organizational guarantee to establish a stable teaching team in university-affiliated hospitals. As the National Clinical Teaching and Training Demonstration Center, West China School of Medicine / West China Hospital of Sichuan University has taken the lead to explore the building of a full-time teaching team for clinical practice teaching, innovating and implementing the system of “Full-time Practice Teaching Post”. This innovative measure ensures the whole-process management, teaching, and assessment of medical students, strengthens teacher training and top-level design of teaching and research, improves the incentive mechanism for teachers, applies multiple teaching resources and novel teaching methods, and finally improves the quality and culture of clinical practice teaching.
Following the rapid advancement of artificial intelligence technologies, especially the development of large language models like ChatGPT, the field of medical clinical practice is undergoing an unprecedented technological revolution. These advanced technologies, through efficient processing and analysis of large datasets, not only provide medical professionals with auxiliary diagnoses and treatment suggestions but also significantly enhance the quality and efficiency of medical education. This study conducts a comprehensive analysis and review of the applications of large language models in various aspects, including clinical inquiry, history collection, medical literature writing, clinical decision support, optimization of medical portal websites, patient health management, medical education, academic research, and scientific writing. However, the application of these technologies is not without flaws and presents several limitations and ethical challenges. This paper focuses on challenges related to technological errors, academic dishonesty, abuse risks, over-reliance, possibilities of misdiagnosis and treatment errors, and issues of accountability. In conclusion, large language models demonstrate tremendous potential in the integration and advancement of medical practices. Nevertheless, while fully harnessing the benefits brought by ChatGPT, it is essential to acknowledge and address these ethical challenges to ensure that the application of ChatGPT in the medical field is responsible and effective.
Gordon Henry Guyatt(1953-)is a professor of Department of Clinical Epidemiology amp; Biostatistics and Department of Medicine in McMaster University. He has engaged in evidence-based clinical research and practice for about 20 years. In 1992, he first proposed the term “evidence-based medicine” in one of his articles published in JAMA. He is dedicated to bringing the wonderful idea of evidence-based medicine to bedside and systematically training clinicians from all over the world to acquire the basic skills for evidence-based clinical practice. His great contribution to evidence-based medicine is introduced in this article through demonstrating the development of evidence-based clinical practice.
Based-on retrieval and reviewing information of evidence-based clinical practice guidelines from the literature, this paper introduced the key components of assessment guideline quality, including the process of development and reporting of guideline.
The formulation process of recommendations in evidence-based clinical practice guidelines was often complex and cumbersome. This paper described the evolution of levels of evidence and strength of recommendations in medical research and analyzed existing problems when making recommendations. We also summarized and introduced the method of formulating the final recommendation. At present, there isn’t a perfect and uniform method to guide the formulation of recommendations. But some organizations provided different content frameworks or auxiliary tools to guide formulation of recommendations. Developers of evidence-based clinical practice guidelines can learn from their experiences, combine with their own characteristics of guidelines such as specific target population and specific clinical situations, establish a rational method of recommendations formation.
To help better understanding on evidence-based medicine, five frequently asked questions relevant to evidence-based clinical practice were commented on. The questions included: 1. Dose evidence-based medicine only emphasize evidence and ignore clinical experiences? 2. Dose evidence only include randomized controlled trials and systematic reviews? 3. How to face the quality of evidence? 4. Is randomized evidence suitable for treating individual patient? 5. Is evidence-based medicine useless since there is no adequate evidence for many clinical questions?
Precision medicine is a medical paradigm founded on individual genetic information amalgamated with extensive clinical data to offer patients precise diagnoses and treatments. Genetic testing forms the cornerstone of accurate diagnosis, and skilled professionals in fields like clinical medicine, molecular biology, and bioinformatics play a crucial role in realizing the potential of precision medicine. This paper presents reference suggestions for the continuing education approach for relevant technical personnel. The main emphasis is on conducting routine face-to-face and hands-on training to enhance theoretical knowledge and professional skills. Secondly, there is a need to modify the training approach by reinforcing molecular biology, bioinformatics, and other courses, enhancing assessment methods, gradually implementing specialized training in precision medicine subspecialties, and ensuring effective clinical practice and management of precision medicine.
Objective To explore the methods used for developing evidence-based clinical practice guidelines for acupuncture. Methods Based on the characteristics of acupuncture in traditional Chinese medicine,and principles of evidence-based medicine, this article introduces and summarizes the processes and methods for developing an evidence-based clinical practice guideline for acupuncture. We analyzed similarities and differences between clinical practice guidelines for acupuncture and for other interventions. We used an evidence-based clinical practice guideline of acupuncture for depression as an example to illustrate the methods of literature search, grading of evidence and recommendations, evidence evaluation and consensus formation. Results Preliminary recommendations on the methods for developing evidence-based clinical practice guidelines for acupuncture were made. Conclusion Based on the optimized rational methodology for developing clinical guidelines, evidence-based high-quality clinical practice guidelines for acupuncture could be established.
This article introduces development methods and notices about evidence-based clinical practice guidelines of ventilator-associated pneumonia (VAP) and discuss the similarities and differences between GRADE system and the methodological studies of other clinical guidelines, focusing on the analysis of literature retrieval, quality of evidence, formation of recommendation strength, and detailed measures on how to ensure correct understanding and rationally using the GRADE system. Applying the GRADE system to develop evidence-based clinical practice guidelines of VAP could clearly present the quality of evidence and make recommendations.
