Objective:This study assessed the role of the attending medical team in the cost control of the cholecystectomy DRG components.Methods:The association between team structure,workflow,and treatment outcomes was analyze...Objective:This study assessed the role of the attending medical team in the cost control of the cholecystectomy DRG components.Methods:The association between team structure,workflow,and treatment outcomes was analyzed using a mixed-methods approach combining quantitative data and qualitative interviews from 628 patients.Results:Inter-professional teamwork significantly affected length of stay,treatment costs,and recurrence rates,with experienced teams performing better in terms of emergency response and collaborative efficiency.Patient satisfaction was generally high,indicating that good teamwork enhances treatment outcomes.Significance:The study highlights the importance of optimizing team configuration to improve the quality,efficiency,and cost control of healthcare.展开更多
The current advancement in cloud computing,Artificial Intelligence(AI),and the Internet of Things(IoT)transformed the traditional healthcare system into smart healthcare.Healthcare services could be enhanced by incorp...The current advancement in cloud computing,Artificial Intelligence(AI),and the Internet of Things(IoT)transformed the traditional healthcare system into smart healthcare.Healthcare services could be enhanced by incorporating key techniques like AI and IoT.The convergence of AI and IoT provides distinct opportunities in the medical field.Fall is regarded as a primary cause of death or post-traumatic complication for the ageing population.Therefore,earlier detection of older person falls in smart homes is required to improve the survival rate of an individual or provide the necessary support.Lately,the emergence of IoT,AI,smartphones,wearables,and so on making it possible to design fall detection(FD)systems for smart home care.This article introduces a new Teamwork Optimization with Deep Learning based Fall Detection for IoT Enabled Smart Healthcare Systems(TWODLFDSHS).The TWODL-FDSHS technique’s goal is to detect fall events for a smart healthcare system.Initially,the presented TWODL-FDSHS technique exploits IoT devices for the data collection process.Next,the TWODLFDSHS technique applies the TWO with Capsule Network(CapsNet)model for feature extraction.At last,a deep random vector functional link network(DRVFLN)with an Adam optimizer is exploited for fall event detection.A wide range of simulations took place to exhibit the enhanced performance of the presentedTWODL-FDSHS technique.The experimental outcomes stated the enhancements of the TWODL-FDSHS method over other models with increased accuracy of 98.30%on the URFD dataset.展开更多
Football is one of the most-watched sports,but analyzing players’per-formance is currently difficult and labor intensive.Performance analysis is done manually,which means that someone must watch video recordings and ...Football is one of the most-watched sports,but analyzing players’per-formance is currently difficult and labor intensive.Performance analysis is done manually,which means that someone must watch video recordings and then log each player’s performance.This includes the number of passes and shots taken by each player,the location of the action,and whether or not the play had a successful outcome.Due to the time-consuming nature of manual analyses,interest in automatic analysis tools is high despite the many interdependent phases involved,such as pitch segmentation,player and ball detection,assigning players to their teams,identifying individual players,activity recognition,etc.This paper proposes a system for developing an automatic video analysis tool for sports.The proposed system is the first to integrate multiple phases,such as segmenting the field,detecting the players and the ball,assigning players to their teams,and iden-tifying players’jersey numbers.In team assignment,this research employed unsu-pervised learning based on convolutional autoencoders(CAEs)to learn discriminative latent representations and minimize the latent embedding distance between the players on the same team while simultaneously maximizing the dis-tance between those on opposing teams.This paper also created a highly accurate approach for the real-time detection of the ball.Furthermore,it also addressed the lack of jersey number datasets by creating a new dataset with more than 6,500 images for numbers ranging from 0 to 99.Since achieving a high perfor-mance in deep learning requires a large training set,and the collected dataset was not enough,this research utilized transfer learning(TL)to first pretrain the jersey number detection model on another large dataset and then fine-tune it on the target dataset to increase the accuracy.To test the proposed system,this paper presents a comprehensive evaluation of its individual stages as well as of the sys-tem as a whole.展开更多
Background: In recent years, we have established an entry-level Forward Surgical Team (FST) training program in a Chinese military medical university for the 5th grade undergraduates, who would be deployed to differen...Background: In recent years, we have established an entry-level Forward Surgical Team (FST) training program in a Chinese military medical university for the 5th grade undergraduates, who would be deployed to different military medical services as primary combat surgeons. This study aimed to assess the role of this pre-service training in improving their confidence with combat medical skills, after several years since they received the training. Methods: We conducted a nationwide survey of 239 primary combat surgeons who have ever participated in an entry-level FST training program before deployment between June 2016 and June 2020, which was for evaluating on a 5-point Likert scale the benefits of entry-level FST training and conventional surgery training in improving their confidence with combat medical skills. The difference in scores was compared using the student t-test. Significance was considered as P Results: The total score was significantly higher for entry-level FST training than that for conventional surgery training (30.76 ± 4.33 vs. 28.95 ± 4.80, P There was no significant difference between the training for surgical skills confidence scores (18.03 ± 8.04 vs. 17.51 ± 8.30, P = 0.098), but for non-technical skills, the score of entry-level FST training was significantly higher than that of conventional surgery training (12.73 ± 5.39 vs. 11.44 ± 5.62, P The distributions of confidence scores were different under various subgroups by demographics. There were no significant differences in scores between the two training in all specific surgical skill sets except “life-saving surgery” (P = 0.011). Scores of all 4 non-technical skill sets were significantly higher for entry-level FST than those for conventional surgery training (P Conclusions: The training should be considered as an essential strategy to improve confidence in combat medical skills, especially life-saving surgery and non-technical skills, for primary combat surgeons.展开更多
BACKGROUND Perioperative hypothermia(PH)negatively affects the physical and mental health of patients to varying degrees.Currently,there is no effective multidisciplinary team(MDT)intervention for gynecological patien...BACKGROUND Perioperative hypothermia(PH)negatively affects the physical and mental health of patients to varying degrees.Currently,there is no effective multidisciplinary team(MDT)intervention for gynecological patients with PH.AIM To apply the best evidence on the prevention and management of PH in gynecological patients,improve the quality of perioperative evidence-based care based on treatment by an MDT for gynecological patients and analyze the effect of MDT-and evidence-based practice(EBP)projects on the psychological status and cognitive function of gynecological patients with PH.METHODS Under the guidance of knowledge translation and combined with the opinions of involved stakeholders and clinical experts,the best evidence for PH prevention and management in gynecological patients was selected and adjusted to suit the practice setting.Based on the evidence,the practice plan was developed,and the MDT intervention was carried out in the preoperative ward,the preoperative preparation room,the intraoperative operating room,the postanesthesia care unit,and the 24-hour postoperative gynecological ward through the EBP program.The incidence of hypothermia,the nurses’awareness,the implementation rate of examination indicators,and the thermal comfort level,psychological status and cognitive function of patients were compared before and after the implementation of the program.RESULTS The incidence of PH in gynecological patients decreased from 43.33%to 13.33%after the implementation of the scheme.The implementation rate of examination indicators 6-10,12,14,16-18,21,and 22 reached 100%,and that of other indicators was above 90%,except for examination indicators 5 and 13,which was 66.67%;the indices were significantly improved compared with the baseline(before evidence application)(P<0.05).The score of nurses'awareness of PH prevention and management in gynecological patients increased from 60.96±9.70 to 88.08±8.96,and the difference was statistically significant(P<0.001).The total score of the perioperative thermal comfort level of patients undergoing gynecological surgery was 27.97±2.04,which was significantly increased compared with the score of 21.27±1.57 observed by researchers at baseline(P<0.001).The perioperative Hamilton Depression Scale and Hamilton Anxiety Scale scores of patients undergoing gynecological surgery decreased from 15.03±3.16 and 13.93±2.64 to 4.30±1.15 and 3.53±0.78,respectively,with statistically significant differences(P<0.001).The perioperative Montreal Cognitive Assessment Scale score of the gynecological surgery patients increased from 23.17±1.68 to 26.93±1.11,also with statistical significance(P<0.001).CONCLUSION MDT-based EBP for PH prevention and management in gynecological patients during the perioperative period can standardize nursing operations,improve nurses'awareness and behavioral compliance with gynecological hypothermia management,and reduce the occurrence of PH in gynecological patients while playing a positive role in reducing patients’negative emotions and enhancing their cognitive function.展开更多
Artificial intelligence is a frontier science for simulating,extending and expanding human intelligence,theoretical methods,technologies and application systems.Through the survey and analysis of the current situation...Artificial intelligence is a frontier science for simulating,extending and expanding human intelligence,theoretical methods,technologies and application systems.Through the survey and analysis of the current situation of the integration of artificial intelligence into the construction of the teacher team,the corresponding research plan and path are formulated,and the artificial intelligence is fully integrated with the construction of the professional teacher team of acupuncture and tuina,and specific practices are carried out.The practical research path includes the construction of the corresponding artificial intelligence education analysis system and platform for the teaching staff,the formulation and practice of artificial intelligence training and training plans for the teaching staff,the daily intelligent education of the teaching staff and the sustainable improvement of lifelong intelligent education literacy.Through this study,it is hoped that the teaching ability and level of acupuncture and tuina teachers will be improved,and more new ideas and methods will be provided for the training and education of acupuncture and tuina professionals.展开更多
Data services,knowledge services,and information services are the core service elements of university libraries in the context of the Double First-Class Initiative.Combined with the current situation of insufficient o...Data services,knowledge services,and information services are the core service elements of university libraries in the context of the Double First-Class Initiative.Combined with the current situation of insufficient overall service capacity of libraries,this paper proposed strategies and implementation paths for optimizing the service system from three aspects:the construction of the professional qualification system for librarians,the establishment of post institutions,and the construction of library culture.Long-term path:putting library human resource management into the legal track,taking the lead in local legislation,and promoting the construction of library legislation and professional qualification certification system;optimizing the personnel system,implementing hierarchical management and classified assessment for professional librarians and auxiliary librarians.Short-term path:intensive post allocation,namely,assigning the core strength in the core post,and tackling the temporary major work combining multiple forces in the form of a"working group";building an open knowledge service ecosystem,accelerate the cross-border integration of libraries and other organizations,and striving to build the core competitiveness of libraries.展开更多
With the advancement of technology, companies are increasingly dependent on technology teams to stay competitive. However, members of these teams often work in stressful and unhealthy environments, which can undermine...With the advancement of technology, companies are increasingly dependent on technology teams to stay competitive. However, members of these teams often work in stressful and unhealthy environments, which can undermine their productivity and well-being. The humanization of the culture of technology teams is an approach that aims to create healthier and more productive work environments for team members, promoting balance between personal and professional life. Despite the importance of a healthy and productive work environment, many companies do not invest in strategies to humanize the culture of their technology teams. This can lead to high levels of stress, staff turnover and low productivity. The objective of this project is to identify effective strategies to humanize the culture of technology teams and create healthier and more productive work environments in digital companies. For this, factors such as management styles, psychological safety, human-centered development, individual beliefs and time and energy management will be analyzed. The project’s methodology will include a literature review on the subject and qualitative data analysis will be performed using a content analysis approach. This project will contribute to the advancement of knowledge about the humanization of the culture of technology teams in digital companies. The results can be applied to companies that want to create healthier and more productive work environments for their team members.展开更多
This paper explores the application of big data technology in ideological and political education for college counselors.Big data-driven personalized counseling for students,social network analysis,and public opinion ...This paper explores the application of big data technology in ideological and political education for college counselors.Big data-driven personalized counseling for students,social network analysis,and public opinion monitoring can optimize the efficiency of counselor work.However,there are still challenges concerning data privacy protection,technical support,and training.By scientifically evaluating and addressing these challenges,big data technology is expected to enhance the effectiveness of college counselors and improve the quality of ideological and political education.In the future,with technological advancements,big data technology will become an essential tool for higher education management.展开更多
The psychological contract is a set of personal beliefs about the reciprocal obligations and rights established in an exchange relationship,and high-level fulfillment of psychological contract helps the development of...The psychological contract is a set of personal beliefs about the reciprocal obligations and rights established in an exchange relationship,and high-level fulfillment of psychological contract helps the development of a team.This study summarizes the concept and theoretical basis of psychological contract,the influencing factors and intervention status of nurse psychological contract,and constructs a psychological contract intervention model to provide reference and reference for better construction and management of nursing teams.展开更多
Under the background of globalization,there are severe challenges in the cultivation of the professional skills of nursing staff,especially the English skills of foreign-related nursing,which has become an important p...Under the background of globalization,there are severe challenges in the cultivation of the professional skills of nursing staff,especially the English skills of foreign-related nursing,which has become an important part of the training of nursing talents.At present,most English teaching of foreign-related nursing in higher vocational colleges follows the traditional grammar teaching model.However,as most of the teaching staff for medical English are English teachers who have limited nursing professional knowledge,the industry characteristics of medical English are not fully demonstrated in the teaching process,and the lack of practicality inevitably reduces the quality of medical English teaching.Therefore,the traditional nursing English teaching model in higher vocational colleges can no longer meet the actual teaching needs.There is an urgent need to implement an interdisciplinary team teaching model that completely fits the industry environment of foreign-related nursing English and apply it flexibly to improve the quality of foreign-related nursing English teaching in higher vocational colleges,and lay a solid foundation for professional practice of nursing staff.Based on the perspective of ecolinguistics,this article explores the application strategies of the interdisciplinary team teaching model for foreign-related nursing English in higher vocational colleges,with the view to provide guidelines for the actual teaching of foreign-related nursing English.展开更多
文摘Objective:This study assessed the role of the attending medical team in the cost control of the cholecystectomy DRG components.Methods:The association between team structure,workflow,and treatment outcomes was analyzed using a mixed-methods approach combining quantitative data and qualitative interviews from 628 patients.Results:Inter-professional teamwork significantly affected length of stay,treatment costs,and recurrence rates,with experienced teams performing better in terms of emergency response and collaborative efficiency.Patient satisfaction was generally high,indicating that good teamwork enhances treatment outcomes.Significance:The study highlights the importance of optimizing team configuration to improve the quality,efficiency,and cost control of healthcare.
基金The Deanship of Scientific Research (DSR)at King Abdulaziz University (KAU),Jeddah,Saudi Arabia has funded this project,under grant no.KEP-4-120-42.
文摘The current advancement in cloud computing,Artificial Intelligence(AI),and the Internet of Things(IoT)transformed the traditional healthcare system into smart healthcare.Healthcare services could be enhanced by incorporating key techniques like AI and IoT.The convergence of AI and IoT provides distinct opportunities in the medical field.Fall is regarded as a primary cause of death or post-traumatic complication for the ageing population.Therefore,earlier detection of older person falls in smart homes is required to improve the survival rate of an individual or provide the necessary support.Lately,the emergence of IoT,AI,smartphones,wearables,and so on making it possible to design fall detection(FD)systems for smart home care.This article introduces a new Teamwork Optimization with Deep Learning based Fall Detection for IoT Enabled Smart Healthcare Systems(TWODLFDSHS).The TWODL-FDSHS technique’s goal is to detect fall events for a smart healthcare system.Initially,the presented TWODL-FDSHS technique exploits IoT devices for the data collection process.Next,the TWODLFDSHS technique applies the TWO with Capsule Network(CapsNet)model for feature extraction.At last,a deep random vector functional link network(DRVFLN)with an Adam optimizer is exploited for fall event detection.A wide range of simulations took place to exhibit the enhanced performance of the presentedTWODL-FDSHS technique.The experimental outcomes stated the enhancements of the TWODL-FDSHS method over other models with increased accuracy of 98.30%on the URFD dataset.
文摘Football is one of the most-watched sports,but analyzing players’per-formance is currently difficult and labor intensive.Performance analysis is done manually,which means that someone must watch video recordings and then log each player’s performance.This includes the number of passes and shots taken by each player,the location of the action,and whether or not the play had a successful outcome.Due to the time-consuming nature of manual analyses,interest in automatic analysis tools is high despite the many interdependent phases involved,such as pitch segmentation,player and ball detection,assigning players to their teams,identifying individual players,activity recognition,etc.This paper proposes a system for developing an automatic video analysis tool for sports.The proposed system is the first to integrate multiple phases,such as segmenting the field,detecting the players and the ball,assigning players to their teams,and iden-tifying players’jersey numbers.In team assignment,this research employed unsu-pervised learning based on convolutional autoencoders(CAEs)to learn discriminative latent representations and minimize the latent embedding distance between the players on the same team while simultaneously maximizing the dis-tance between those on opposing teams.This paper also created a highly accurate approach for the real-time detection of the ball.Furthermore,it also addressed the lack of jersey number datasets by creating a new dataset with more than 6,500 images for numbers ranging from 0 to 99.Since achieving a high perfor-mance in deep learning requires a large training set,and the collected dataset was not enough,this research utilized transfer learning(TL)to first pretrain the jersey number detection model on another large dataset and then fine-tune it on the target dataset to increase the accuracy.To test the proposed system,this paper presents a comprehensive evaluation of its individual stages as well as of the sys-tem as a whole.
文摘Background: In recent years, we have established an entry-level Forward Surgical Team (FST) training program in a Chinese military medical university for the 5th grade undergraduates, who would be deployed to different military medical services as primary combat surgeons. This study aimed to assess the role of this pre-service training in improving their confidence with combat medical skills, after several years since they received the training. Methods: We conducted a nationwide survey of 239 primary combat surgeons who have ever participated in an entry-level FST training program before deployment between June 2016 and June 2020, which was for evaluating on a 5-point Likert scale the benefits of entry-level FST training and conventional surgery training in improving their confidence with combat medical skills. The difference in scores was compared using the student t-test. Significance was considered as P Results: The total score was significantly higher for entry-level FST training than that for conventional surgery training (30.76 ± 4.33 vs. 28.95 ± 4.80, P There was no significant difference between the training for surgical skills confidence scores (18.03 ± 8.04 vs. 17.51 ± 8.30, P = 0.098), but for non-technical skills, the score of entry-level FST training was significantly higher than that of conventional surgery training (12.73 ± 5.39 vs. 11.44 ± 5.62, P The distributions of confidence scores were different under various subgroups by demographics. There were no significant differences in scores between the two training in all specific surgical skill sets except “life-saving surgery” (P = 0.011). Scores of all 4 non-technical skill sets were significantly higher for entry-level FST than those for conventional surgery training (P Conclusions: The training should be considered as an essential strategy to improve confidence in combat medical skills, especially life-saving surgery and non-technical skills, for primary combat surgeons.
基金The study was approved by the Institutional review board of The Affiliated Hospital of Southwest Medical University,No.KY2023184.
文摘BACKGROUND Perioperative hypothermia(PH)negatively affects the physical and mental health of patients to varying degrees.Currently,there is no effective multidisciplinary team(MDT)intervention for gynecological patients with PH.AIM To apply the best evidence on the prevention and management of PH in gynecological patients,improve the quality of perioperative evidence-based care based on treatment by an MDT for gynecological patients and analyze the effect of MDT-and evidence-based practice(EBP)projects on the psychological status and cognitive function of gynecological patients with PH.METHODS Under the guidance of knowledge translation and combined with the opinions of involved stakeholders and clinical experts,the best evidence for PH prevention and management in gynecological patients was selected and adjusted to suit the practice setting.Based on the evidence,the practice plan was developed,and the MDT intervention was carried out in the preoperative ward,the preoperative preparation room,the intraoperative operating room,the postanesthesia care unit,and the 24-hour postoperative gynecological ward through the EBP program.The incidence of hypothermia,the nurses’awareness,the implementation rate of examination indicators,and the thermal comfort level,psychological status and cognitive function of patients were compared before and after the implementation of the program.RESULTS The incidence of PH in gynecological patients decreased from 43.33%to 13.33%after the implementation of the scheme.The implementation rate of examination indicators 6-10,12,14,16-18,21,and 22 reached 100%,and that of other indicators was above 90%,except for examination indicators 5 and 13,which was 66.67%;the indices were significantly improved compared with the baseline(before evidence application)(P<0.05).The score of nurses'awareness of PH prevention and management in gynecological patients increased from 60.96±9.70 to 88.08±8.96,and the difference was statistically significant(P<0.001).The total score of the perioperative thermal comfort level of patients undergoing gynecological surgery was 27.97±2.04,which was significantly increased compared with the score of 21.27±1.57 observed by researchers at baseline(P<0.001).The perioperative Hamilton Depression Scale and Hamilton Anxiety Scale scores of patients undergoing gynecological surgery decreased from 15.03±3.16 and 13.93±2.64 to 4.30±1.15 and 3.53±0.78,respectively,with statistically significant differences(P<0.001).The perioperative Montreal Cognitive Assessment Scale score of the gynecological surgery patients increased from 23.17±1.68 to 26.93±1.11,also with statistical significance(P<0.001).CONCLUSION MDT-based EBP for PH prevention and management in gynecological patients during the perioperative period can standardize nursing operations,improve nurses'awareness and behavioral compliance with gynecological hypothermia management,and reduce the occurrence of PH in gynecological patients while playing a positive role in reducing patients’negative emotions and enhancing their cognitive function.
基金Supported by National TCM Examination Scientific Research Project in 2021(TC2021022)Jilin Province Vocational Education and Adult Education Teaching Reform Research Project in 2022(2022ZCY295)+3 种基金Higher Education Scientific Research Project of Jilin Association for Higher Education in 2021(JGJX2021D170)Jilin Province Educational Science"13th Five-Year"Plan 2020 Annual Project(GH20169)Changchun University of Traditional Chinese Medicine Higher Education Teaching Research Project in 2022(XJSZ202240)Jilin Higher Education Scientific Research Project in 2022(JGJX2022D129)。
文摘Artificial intelligence is a frontier science for simulating,extending and expanding human intelligence,theoretical methods,technologies and application systems.Through the survey and analysis of the current situation of the integration of artificial intelligence into the construction of the teacher team,the corresponding research plan and path are formulated,and the artificial intelligence is fully integrated with the construction of the professional teacher team of acupuncture and tuina,and specific practices are carried out.The practical research path includes the construction of the corresponding artificial intelligence education analysis system and platform for the teaching staff,the formulation and practice of artificial intelligence training and training plans for the teaching staff,the daily intelligent education of the teaching staff and the sustainable improvement of lifelong intelligent education literacy.Through this study,it is hoped that the teaching ability and level of acupuncture and tuina teachers will be improved,and more new ideas and methods will be provided for the training and education of acupuncture and tuina professionals.
文摘Data services,knowledge services,and information services are the core service elements of university libraries in the context of the Double First-Class Initiative.Combined with the current situation of insufficient overall service capacity of libraries,this paper proposed strategies and implementation paths for optimizing the service system from three aspects:the construction of the professional qualification system for librarians,the establishment of post institutions,and the construction of library culture.Long-term path:putting library human resource management into the legal track,taking the lead in local legislation,and promoting the construction of library legislation and professional qualification certification system;optimizing the personnel system,implementing hierarchical management and classified assessment for professional librarians and auxiliary librarians.Short-term path:intensive post allocation,namely,assigning the core strength in the core post,and tackling the temporary major work combining multiple forces in the form of a"working group";building an open knowledge service ecosystem,accelerate the cross-border integration of libraries and other organizations,and striving to build the core competitiveness of libraries.
文摘With the advancement of technology, companies are increasingly dependent on technology teams to stay competitive. However, members of these teams often work in stressful and unhealthy environments, which can undermine their productivity and well-being. The humanization of the culture of technology teams is an approach that aims to create healthier and more productive work environments for team members, promoting balance between personal and professional life. Despite the importance of a healthy and productive work environment, many companies do not invest in strategies to humanize the culture of their technology teams. This can lead to high levels of stress, staff turnover and low productivity. The objective of this project is to identify effective strategies to humanize the culture of technology teams and create healthier and more productive work environments in digital companies. For this, factors such as management styles, psychological safety, human-centered development, individual beliefs and time and energy management will be analyzed. The project’s methodology will include a literature review on the subject and qualitative data analysis will be performed using a content analysis approach. This project will contribute to the advancement of knowledge about the humanization of the culture of technology teams in digital companies. The results can be applied to companies that want to create healthier and more productive work environments for their team members.
文摘This paper explores the application of big data technology in ideological and political education for college counselors.Big data-driven personalized counseling for students,social network analysis,and public opinion monitoring can optimize the efficiency of counselor work.However,there are still challenges concerning data privacy protection,technical support,and training.By scientifically evaluating and addressing these challenges,big data technology is expected to enhance the effectiveness of college counselors and improve the quality of ideological and political education.In the future,with technological advancements,big data technology will become an essential tool for higher education management.
文摘The psychological contract is a set of personal beliefs about the reciprocal obligations and rights established in an exchange relationship,and high-level fulfillment of psychological contract helps the development of a team.This study summarizes the concept and theoretical basis of psychological contract,the influencing factors and intervention status of nurse psychological contract,and constructs a psychological contract intervention model to provide reference and reference for better construction and management of nursing teams.
基金School-level project of Guangdong Yunfu Vocational College of Chinese Medicine:Construction and application of an interdisciplinary team teaching model for higher vocational nursing English from the perspective of ecolinguistics(Project number:2023K08)。
文摘Under the background of globalization,there are severe challenges in the cultivation of the professional skills of nursing staff,especially the English skills of foreign-related nursing,which has become an important part of the training of nursing talents.At present,most English teaching of foreign-related nursing in higher vocational colleges follows the traditional grammar teaching model.However,as most of the teaching staff for medical English are English teachers who have limited nursing professional knowledge,the industry characteristics of medical English are not fully demonstrated in the teaching process,and the lack of practicality inevitably reduces the quality of medical English teaching.Therefore,the traditional nursing English teaching model in higher vocational colleges can no longer meet the actual teaching needs.There is an urgent need to implement an interdisciplinary team teaching model that completely fits the industry environment of foreign-related nursing English and apply it flexibly to improve the quality of foreign-related nursing English teaching in higher vocational colleges,and lay a solid foundation for professional practice of nursing staff.Based on the perspective of ecolinguistics,this article explores the application strategies of the interdisciplinary team teaching model for foreign-related nursing English in higher vocational colleges,with the view to provide guidelines for the actual teaching of foreign-related nursing English.
