With the transformation in modern medical models and the increasingly diversified needs of patients， building a harmonious and mutually trusting doctor-patient community relationship has become the key to improving the quality of medical services， enhancing patients’ sense of access to medical care， and promoting medical effects. Medical social worker is an indispensable member of the medical team， whose interdisciplinary background knowledge and professional skills provide unique advantages for building a harmonious doctor-patient community relationship. However， the current subjects of research on the doctor-patient community are still limited to the medical staff and patients， and there is a lack of relevant research that uses interdisciplinary thinking and tools to explore the path of building a doctor-patient community. Therefore， under the guidance of the spiral research idea of action research method， by sorting out the action paths of medical social workers in carrying out pediatric neurosurgery specialist services in the past five years， three analytical tools from management， namely the strategic decision-making process model， the organization- stakeholder fit model， and the value proposition canvas， were used to solve the problems and dilemmas in the different stages of building a doctor-patient community. On these foundations， practical knowledge was produced， providing valuable experience and methods for medical social workers to build a doctor-patient community.

The professional development of medical social workers currently faces several dilemmas， such as insufficient professionalism， unbroken professional barriers， and an incomplete policy system. To address these dilemmas， medical social workers should clarify the dimensions of their professional capabilities and strive to improve their professional capabilities， building a professional capability framework focusing on problem-solving. Meanwhile， with the popularization of AI technology， the cross-field integration and development of “AI + medical social workers” have brought new opportunities for the professional capability construction of medical social workers. For example， big data can enhance the optimization of electronic health record services； virtual reality （VR） and augmented reality can facilitate the electronic standardization of social worker training for clients； and machine learning can promote the transformation of the social work service model towards “risk prediction and advance intervention，” assisting in improving direct service capabilities. ChatGPT and VR remote consultation systems can be used for supervision services， big data cloud classrooms and robot teaching assistants can broaden learning channels， and natural language processing technology can assist in professional document writing， aiding in enhancing indirect service capabilities. However， applying AI technology to the professional capacity construction of medical social workers may also lead to the alienation of the professional service relationship of medical social workers from needs assessment and relationship building to service intervention， further causing ethical risks brought by demand bias， relationship alienation， and weakened subjectivity. Therefore， it is necessary to rationally view AI’s “double-edged sword” effect. While enjoying the field transformation brought about by high and new technology， it is also imperative to address the subsequent challenges from the perspectives of social work professional assessment and review， educational supervision， and ethical awareness enhancement.

Objective:To investigate the protective effects of overexpression of long-chain noncoding RNA FAM224B on lung tissue of rats with severe pneumonia and the underlying mechanism.Methods:From August 2020 to March 2021, we randomly allocated 20 rats into the pneumonia group (severe pneumonia modeling) and FAM224B group (severe pneumonia modeling + FAM224B plasmid), with 10 rats in each group. We performed a quantitative real-time polymerase chain reaction to detect the level of FAM224B in lung tissue and performed an enzyme-linked immunosorbent assay to detect the levels of tumor necrosis factor-alpha, interleukin-6, and interleukin-1β in lung tissue. We used the software starBase v2.0 to predict the target gene of FAM224B. We performed a quantitative real-time polymerase chain reaction to detect the expression of the target gene in lung tissue and performed a western blot assay to detect the protein expression of the nuclear factor-kappa B signal pathway in lung tissue.Results:FAM224B expression was (1.09 ± 0.23) and (10.12 ± 1.52) in the pneumonia and FAM224B groups, respectively. FAM224B expression was significantly lower in the pneumonia group compared with the FAM224B group ( t = 15.86, P < 0.01). The levels of tumor necrosis factor-alpha, interleukin-6, and interleukin-1β were (41.53 ± 2.46) μg/L, (34.01 ± 2.53) ng/L, (20.92 ± 1.95) μg/L in the pneumonia group and they were (21.71 ± 2.25) μg/L, (17.13 ± 3.01) ng/L, (11.97 ± 1.21) μg/L in the FAM224B group. There were significant differences in the levels of tumor necrosis factor-alpha, interleukin-6, and interleukin-1β between the two groups ( t = 15.94, 14.29, 13.89, all P < 0.01). FAM224B had complementary binding sites with miR-34b-5p. The expression level of miR-34b-5p in lung tissue was significantly lower in the FAM224B group compared with the pneumonia group ( t = 15.55, P < 0.01). The protein expression levels of phosphorylated nuclear factor-κB subunit (p-p65) and phosphorylated inhibitor of kappa B alpha in lung tissue were significantly lower in the FAM224B group compared with the pneumonia group. Conclusion:FAM224B overexpression reduces the inflammatory reaction in lung tissue of rats with severe pneumonia through inhibiting miR-34b-5p expression.

Hospital logistics management provides critical support for clinical work, and the management of materials is key to logistics management. Based on an analysis of current logistics management of the hospital, desirable results on logistics materials management have been harvested. The measures taken include optimizing management workflow and reinforcing cost control, in combination with such efforts as regulations improvement, higher informatization level and staff teamwork building.

Enhanced recovery after surgery (ERAS) has been widely used in perioperative optimization. As an important component of ERAS, rehabilitation medicine mainly focuses on perioperative physical fitness management, respiratory training, exercise training to reduce the incidence of postoperative pulmonary infection, improve gastrointestinal and cardiopulmonary function. This paper explains rehabilitation medicine for respiratory, musculoskeletal, cardiovascular and digestive systems during the perioperative period.
Humans ; Perioperative Care ; Postoperative Complications ; prevention & control ; Postoperative Period ; Rehabilitation ; methods ; standards

Based on the current situation of legislation on new clinical technologies management in China,the paper analyzes the legal absence or defect on management of new clinical technologies on such aspects as management category,informed consent,time limit,and risk taking,explores the necessity and urgency tO further improve,refine and standardize the management of new technologies,emphasizes that particular attention should be paid to the whole course quality control and link quality management, and appeals for special legislation on the management of new technologies.