ObjectiveIn the context of Healthy China construction, physical-medical integration, as an important way to optimize the allocation of health resources, plays a key role in solving the series of health problems in the process of China’s development and promoting the improvement of the health level of the whole people. This paper aims to carry out a systematic evaluation on physical-medical integration policies in China. MethodsThis paper took 18 physical-medical integration policies issued at the national level from 2016 to 2022 as the research object, used the text mining method to process policy texts, constructed PMC index model, made quantitative evaluation of related policies, and put forward corresponding policy suggestions based on the results. ResultsThe results showed that the physical-medical integration policies in China was relatively perfect in the aspects of policy openness, policy function and policy evaluation, but it still needed to be optimized from the aspects of policy prescription, policy nature, participating subject, policy perspective and policy tools. ConclusionIn the future policy making, it is necessary to improve the policy design, build the mechanism of multi-subject collaborative governance, and adjust the application structure of policy tools, so as to further improve the policy system of physical-medical integration in China and help realize the strategic goal of Healthy China.
ObjectiveTo improve the comprehensive service ability of the hospital, improve the satisfaction of medical care, implement the requirements of fine management, and enrich the connotation of hospital internal performance improvement.MethodsIn July 2017, based on the concept of approach-deployment-learning-integration, the internal performance improvement model of Children’s Hospital Affiliated to Fudan University was constructed to form a management closed loop.ResultsFrom 2016 to 2019, the average length of hospital stay was reduced from 6.90 d to 6.47 d, the patient satisfaction was elevated from 92.89% to 93.80%, the proportion of drugs was reduced from 35.25% to 30.44%, the proportion of materials was reduced from 23.35% to 18.55%, and the proportion of difficult operations of grade Ⅲ and Ⅳ was elevated from 66.98% to 67.68%.ConclusionThe improvement of key performance indicators depends on the implementation of external policies, the integration of scientific management elements, the cooperation of multiple subjects, and the construction of information system.
The prevalence of developmental delay (DD) in children worldwide is still on the rise, and its causes are complex and diverse, causing varying degrees of impact on the development of the sensory nervous system in the brain of children. Sensory integration training is a treatment method that applies sensory stimulation and comprehensive activities. It is currently widely used in children with DD. This therapy can effectively improve the development and integration of the sensory system in children with DD. It also enhances the individual’s ability to adapt to external stimuli, promoting their development in language, motor, and cognitive functions. This article explores the relevant mechanisms of sensory integration training and DD, as well as the current status and effects of its application in DD children, in order to promote the development and progress of related research fields.
As an emerging technology, artificial intelligence (AI) uses human theory and technology for robots to study, develop, learn and identify human technologies. Thoracic surgeons should be aware of new opportunities that may affect their daily practice by the direct use of AI technology, or indirect use in the relevant medical fields (radiology, pathology, and respiratory medicine). The purpose of this paper is to review the application status and future development of AI associated with thoracic surgery, diagnosis of AI-related lung cancer, prognosis-assisted decision-making programs and robotic surgery. While AI technology has made rapid progress in many areas, the medical industry only accounts for a small part of AI use, and AI technology is gradually becoming widespread in the diagnosis, treatment, rehabilitation, and care of diseases. The future of AI is bright and full of innovative perspectives. The field of thoracic surgery has conducted valuable exploration and practice on AI, and will receive more and more influence and promotion from AI.
ObjectiveTo analyze the status of scientific papers published by clinical medicine postgraduates during the "double-track integration" training period. MethodsData of publications of 634 clinical medicine postgraduate students who were been trained in the "double-track integration" system in West China School of Medicine, Sichuan University from 2015 to 2017 were collected. The data of the papers published during the concurrent training and residency were retrospectively analyzed. Results634 postgraduates with master degree in clinical medicine published 1 038 papers in total. Students from 3 grades published 1.606, 1.554 and 1.785 papers on average respectively, and the overall average number of publications was 1.637 per person. The composition ratios of the journal types of articles were: SCI, 37.96%; MEDLINE, 6.55%; Chinese core journals, 55.49%. Statistical differences were found in the types of journals published in the three grades. The composition ratios of article types were: case report, 24.56%; review, 34.01%; original study, 41.43%. There was no statistical difference in the composition of article types in 3 grades. All 634 graduate students met the requirements for thesis publication and succeeded in completing the training. ConclusionsIn the "double-track integration" training system, postgraduates with master degree in clinical medicine can meet the training requirements of publishing relevant articles prior to graduation.
This comprehensive review systematically explores the multifaceted applications, inherent challenges, and promising future directions of artificial intelligence (AI) within the medical domain. It meticulously examines AI's specific contributions to basic medical research, disease prevention, intelligent diagnosis, treatment, rehabilitation, nursing, and health management. Furthermore, the review delves into AI's innovative practices and pivotal roles in clinical trials, hospital administration, medical education, as well as the realms of medical ethics and policy formulation. Notably, the review identifies several key challenges confronting AI in healthcare, encompassing issues such as inadequate algorithm transparency, data privacy concerns, absent regulatory standards, and incomplete risk assessment frameworks. Looking ahead, the future trajectory of AI in healthcare encompasses enhancing algorithm interpretability, propelling generative AI applications, establishing robust data-sharing mechanisms, refining regulatory policies and standards, nurturing interdisciplinary talent, fostering collaboration among industry, academia, and medical institutions, and advancing inclusive, personalized precision medicine. Emphasizing the synergy between AI and emerging technologies like 5G, big data, and cloud computing, this review anticipates a new era of intelligent collaboration and inclusive sharing in healthcare. Through a multidimensional analysis, it presents a holistic overview of AI's medical applications and development prospects, catering to researchers, practitioners, and policymakers in the healthcare sector. Ultimately, this review aims to catalyze the deep integration and innovative deployment of AI technology in healthcare, thereby driving the sustainable advancement of smart healthcare.
In the context of actively coping with aging, China has introduced a series of health care integration policies. Using the advocacy coalition framework theory, this paper aims to analyze the process of health care integration policy changes in China from three dimensions: policy beliefs, external events and policy learning. The policy subsystem of health care integration in China includes two coalitions: top-down cascade promotion and bottom-up absorption and radiation. External events and policy learning triggered policy change, where policy learning included endogenous learning within the coalition and exogenous learning between the coalitions. A policy impasse occurs when the two advocacy coalitions are at odds, and policy brokers and professional forums can get rid of the policy impasse. In the process of policy change in China’s health care integration, the two major advocacy coalitions have reached a certain consensus. It is recommended to alleviate the problems in the integration of health care by strengthening the external factors in the change of health care policy, enhancing the policy learning in the change of health care policy, and making full use of the information resources in the change of health care policy, so as to promote the high-quality development of the integration of health care.
ObjectiveTo construct an evaluation index system for the dissemination influence of new media health science popularization, providing a quantitative evaluation tool for comprehensively assessing the dissemination influence of health science communication works. MethodsMeta integration, Delphi method and analytic hierarchy process (AHP) were used to build a preliminary evaluation index system, form a framework of the evaluation index system, and calculate the weight values of the evaluation indexes, respectively. ResultsA total of 18 studies were included through retrieval. On the basis of preliminary evaluation index system, ten experts in related professional fields were invited to participate in two rounds of expert consultation, resulting in an evaluation index system framework that includes 2 first-level indicators, 4 second-level indicators, and 9 third-level indicators. ConclusionA preliminary evaluation index system for the dissemination and influence of new media health science communication works, which is reliable, universally applicable, and has a reasonable structure, is constructed.
The annual incidence of diabetic foot ulcers in China is as high as 8.1%, which ranks first among the causes of chronic wounds in China. Although through the efforts of several generations of podiatrists and the building of multidisciplinary collaboration team, the major amputation rate in patients with diabetic foot ulcers in China has been decreased significantly, it is still far higher than the level of developed countries in Europe and the United States. Therefore, in order to cope with the increasing occurrence and recurrence of refractory diabetic foot ulcers, in addition to further optimizing the construction of multidisciplinary collaboration team, it is an urgent topic for us to explore the construction of a multidisciplinary integrated team to seamlessly connect the diagnosis and treatment of different aspects of foot disease. This article describes the importance and necessity of building a wound repair center with Chinese characteristics, which is a model of multidisciplinary integrated team, aiming at provide a theoretical basis for establishing a multidisciplinary integrated management model and realizing seamless connection between diagnosis and treatment, so as to further improve the cure rate of diabetic foot ulcers.
ObjectiveTo evaluate the infiuence of doctor-nurse double check table applied before operation on the completion of preoperative preparation in gastrointestinal surgery department of class-three grade-one hospitals. MethodsA total of 647 selective operation patients from April to September 2013 in the Department of Gastrointestinal Surgery were divided into observation group (n=315) and control group (n=332) based on admission time. After training for medical staff, the check tables were filled, and relatively high frequency issues were followed up for quality tracking. The completion of preoperative preparation was compared between the two groups after operation. ResultsCompared with the control group, the completion of preoperative preparation and satisfaction of patients of the observation group were significantly higher and the operation delay was significantly lower (P<0.05). ConclusionPreoperative application of doctor-nurse double check table can significantly improve the completion rate of preoperative preparation, the operation delay phenomenon and satisfaction of patients, promote the communication between doctors and nurses, reduce the risk of operation, and ensure the safety of surgical patients.