1.Exploration of Public Hospitals Network Public Opinion,Disposition System Construction Based on Hazard Vulnerability Analysis
Jinglin YANG ; Tiezheng WANG ; Rui YAO ; Liming WANG ; Hao ZHANG ; Peng CAO ; Junfeng YUAN ; Xiaofeng SHAO
Chinese Hospital Management 2024;44(11):88-90
In the all-media era,online public opinion events are causing more and more trouble to the healthcare industry,and public hospitals in this situation are facing a severe test in terms of online public opinion management,which is generally problematic.It introduces the hospital network public opinion governance strategies and methods based on hazard vulnerability analysis of Peking University People's Hospital and explores a practical and feasible hos-pital online public opinion management model from the aspects of public opinion risk identification,public opinion management system construction,and improvement of departmental management level,to enhance the level of hospital public opinion governance,with a view to reducing and avoiding negative impacts on the hospital caused by online public opinion events,building a harmonious doctor-patient relationship,and improving the work of medical services.The aim is to reduce and avoid the negative impact of online public opinion events on the hospital,to build a harmonious doctor-patient relationship and improve medical services.
2.Exploration of Public Hospitals Network Public Opinion,Disposition System Construction Based on Hazard Vulnerability Analysis
Jinglin YANG ; Tiezheng WANG ; Rui YAO ; Liming WANG ; Hao ZHANG ; Peng CAO ; Junfeng YUAN ; Xiaofeng SHAO
Chinese Hospital Management 2024;44(11):88-90
In the all-media era,online public opinion events are causing more and more trouble to the healthcare industry,and public hospitals in this situation are facing a severe test in terms of online public opinion management,which is generally problematic.It introduces the hospital network public opinion governance strategies and methods based on hazard vulnerability analysis of Peking University People's Hospital and explores a practical and feasible hos-pital online public opinion management model from the aspects of public opinion risk identification,public opinion management system construction,and improvement of departmental management level,to enhance the level of hospital public opinion governance,with a view to reducing and avoiding negative impacts on the hospital caused by online public opinion events,building a harmonious doctor-patient relationship,and improving the work of medical services.The aim is to reduce and avoid the negative impact of online public opinion events on the hospital,to build a harmonious doctor-patient relationship and improve medical services.
3.Exploration of Public Hospitals Network Public Opinion,Disposition System Construction Based on Hazard Vulnerability Analysis
Jinglin YANG ; Tiezheng WANG ; Rui YAO ; Liming WANG ; Hao ZHANG ; Peng CAO ; Junfeng YUAN ; Xiaofeng SHAO
Chinese Hospital Management 2024;44(11):88-90
In the all-media era,online public opinion events are causing more and more trouble to the healthcare industry,and public hospitals in this situation are facing a severe test in terms of online public opinion management,which is generally problematic.It introduces the hospital network public opinion governance strategies and methods based on hazard vulnerability analysis of Peking University People's Hospital and explores a practical and feasible hos-pital online public opinion management model from the aspects of public opinion risk identification,public opinion management system construction,and improvement of departmental management level,to enhance the level of hospital public opinion governance,with a view to reducing and avoiding negative impacts on the hospital caused by online public opinion events,building a harmonious doctor-patient relationship,and improving the work of medical services.The aim is to reduce and avoid the negative impact of online public opinion events on the hospital,to build a harmonious doctor-patient relationship and improve medical services.
4.Exploration of Public Hospitals Network Public Opinion,Disposition System Construction Based on Hazard Vulnerability Analysis
Jinglin YANG ; Tiezheng WANG ; Rui YAO ; Liming WANG ; Hao ZHANG ; Peng CAO ; Junfeng YUAN ; Xiaofeng SHAO
Chinese Hospital Management 2024;44(11):88-90
In the all-media era,online public opinion events are causing more and more trouble to the healthcare industry,and public hospitals in this situation are facing a severe test in terms of online public opinion management,which is generally problematic.It introduces the hospital network public opinion governance strategies and methods based on hazard vulnerability analysis of Peking University People's Hospital and explores a practical and feasible hos-pital online public opinion management model from the aspects of public opinion risk identification,public opinion management system construction,and improvement of departmental management level,to enhance the level of hospital public opinion governance,with a view to reducing and avoiding negative impacts on the hospital caused by online public opinion events,building a harmonious doctor-patient relationship,and improving the work of medical services.The aim is to reduce and avoid the negative impact of online public opinion events on the hospital,to build a harmonious doctor-patient relationship and improve medical services.
5.Exploration of Public Hospitals Network Public Opinion,Disposition System Construction Based on Hazard Vulnerability Analysis
Jinglin YANG ; Tiezheng WANG ; Rui YAO ; Liming WANG ; Hao ZHANG ; Peng CAO ; Junfeng YUAN ; Xiaofeng SHAO
Chinese Hospital Management 2024;44(11):88-90
In the all-media era,online public opinion events are causing more and more trouble to the healthcare industry,and public hospitals in this situation are facing a severe test in terms of online public opinion management,which is generally problematic.It introduces the hospital network public opinion governance strategies and methods based on hazard vulnerability analysis of Peking University People's Hospital and explores a practical and feasible hos-pital online public opinion management model from the aspects of public opinion risk identification,public opinion management system construction,and improvement of departmental management level,to enhance the level of hospital public opinion governance,with a view to reducing and avoiding negative impacts on the hospital caused by online public opinion events,building a harmonious doctor-patient relationship,and improving the work of medical services.The aim is to reduce and avoid the negative impact of online public opinion events on the hospital,to build a harmonious doctor-patient relationship and improve medical services.
6.Exploration of Public Hospitals Network Public Opinion,Disposition System Construction Based on Hazard Vulnerability Analysis
Jinglin YANG ; Tiezheng WANG ; Rui YAO ; Liming WANG ; Hao ZHANG ; Peng CAO ; Junfeng YUAN ; Xiaofeng SHAO
Chinese Hospital Management 2024;44(11):88-90
In the all-media era,online public opinion events are causing more and more trouble to the healthcare industry,and public hospitals in this situation are facing a severe test in terms of online public opinion management,which is generally problematic.It introduces the hospital network public opinion governance strategies and methods based on hazard vulnerability analysis of Peking University People's Hospital and explores a practical and feasible hos-pital online public opinion management model from the aspects of public opinion risk identification,public opinion management system construction,and improvement of departmental management level,to enhance the level of hospital public opinion governance,with a view to reducing and avoiding negative impacts on the hospital caused by online public opinion events,building a harmonious doctor-patient relationship,and improving the work of medical services.The aim is to reduce and avoid the negative impact of online public opinion events on the hospital,to build a harmonious doctor-patient relationship and improve medical services.
7.Exploration of Public Hospitals Network Public Opinion,Disposition System Construction Based on Hazard Vulnerability Analysis
Jinglin YANG ; Tiezheng WANG ; Rui YAO ; Liming WANG ; Hao ZHANG ; Peng CAO ; Junfeng YUAN ; Xiaofeng SHAO
Chinese Hospital Management 2024;44(11):88-90
In the all-media era,online public opinion events are causing more and more trouble to the healthcare industry,and public hospitals in this situation are facing a severe test in terms of online public opinion management,which is generally problematic.It introduces the hospital network public opinion governance strategies and methods based on hazard vulnerability analysis of Peking University People's Hospital and explores a practical and feasible hos-pital online public opinion management model from the aspects of public opinion risk identification,public opinion management system construction,and improvement of departmental management level,to enhance the level of hospital public opinion governance,with a view to reducing and avoiding negative impacts on the hospital caused by online public opinion events,building a harmonious doctor-patient relationship,and improving the work of medical services.The aim is to reduce and avoid the negative impact of online public opinion events on the hospital,to build a harmonious doctor-patient relationship and improve medical services.
8.Exploration of Public Hospitals Network Public Opinion,Disposition System Construction Based on Hazard Vulnerability Analysis
Jinglin YANG ; Tiezheng WANG ; Rui YAO ; Liming WANG ; Hao ZHANG ; Peng CAO ; Junfeng YUAN ; Xiaofeng SHAO
Chinese Hospital Management 2024;44(11):88-90
In the all-media era,online public opinion events are causing more and more trouble to the healthcare industry,and public hospitals in this situation are facing a severe test in terms of online public opinion management,which is generally problematic.It introduces the hospital network public opinion governance strategies and methods based on hazard vulnerability analysis of Peking University People's Hospital and explores a practical and feasible hos-pital online public opinion management model from the aspects of public opinion risk identification,public opinion management system construction,and improvement of departmental management level,to enhance the level of hospital public opinion governance,with a view to reducing and avoiding negative impacts on the hospital caused by online public opinion events,building a harmonious doctor-patient relationship,and improving the work of medical services.The aim is to reduce and avoid the negative impact of online public opinion events on the hospital,to build a harmonious doctor-patient relationship and improve medical services.
9.Diagnosis and treatment of thrombocytopenia after liver transplantation
Tao CAI ; Jinglin CAO ; Jian DOU ; Qiang ZENG
Organ Transplantation 2024;15(6):964-969
Thrombocytopenia is one of the common complications after liver transplantation,with pathophysiological mechanisms including insufficient platelet production and increased platelet consumption,which severely affects the prognosis of liver transplant recipients.Various factors such as preoperative hepatitis virus infection,intraoperative ischemic injury,and postoperative use of immunosuppressive drugs may lead to thrombocytopenia after liver transplantation.Early detection and effective treatment of thrombocytopenia after liver transplantation are currently hot topics of research.Based on the existing literature,this article reviews the definition,pathophysiological mechanisms,risk factors,treatment,and prevention of thrombocytopenia,and discusses the occurrence and development of thrombocytopenia after liver transplantation and related diagnosis and treatment strategies,aiming to optimize the existing treatment opinions,reduce the risk of thrombocytopenia after transplantation and improve the prognosis of liver transplant recipients.
10.Clinical characteristics of COVID-19 infection in liver transplant recipients
Ziqiang CUI ; Yajie CHEN ; Jian DOU ; Jinglin CAO ; Yang WANG ; Xin ZHAO ; Qiang ZENG ; Baowang LIU ; Tianyi GAO
Chinese Journal of Hepatobiliary Surgery 2023;29(11):832-835
Objective:To analyze the clinical characteristics of novel coronavirus (COVID-19) infection in liver transplant recipients.Methods:Clinical data of 130 liver transplant recipients with COVID-19 infection followed in Hebei Medical University Third Hospital from November 2022 to January 2023 were retrospectively collected, including 103 males and 27 females, aged (53.6±11.4) years. The severity of COVID-19 infection, its clinical symptoms, and negative conversion time for each recipient were analyzed and compared.Results:For the disease severity, 121 (93.1%) were mild, 5 (3.8%) were moderate, 3 (2.3%) were severe, and 1 (0.8%) was critically severe. The most common symptoms in the 126 patients with mild to moderate COVID-19 infection were successively fever, fatigue, cough and myalgia, with a negative conversion time of (10.1±4.5) (3.0-29.0)d. In those who underwent transplantation less than 12 months ( n=28), those who were taking mycophenolate mofetil ( n=53) and those who were taking methylprednisolone ( n=10), the negative conversion time was (11.6±5.1) d, (11.4±5.4) d, and (13.4±6.4) d, respectively, longer compared to those who underwent transplantation more than 12 months (9.7±4.2 d, n=98), and who were not taking mycophenolate mofetil (9.2±3.4 d, n=73) or methylprednisolone (9.8±4.2 d, n=116, all P<0.05). The negative conversion times were longer in recipients with symptoms (eg. fatigue and cough) than those in asymptomatic recipients (11.0±5.1 d vs. 9.0±3.3 d, t=2.64, P=0.009, and 11.4±5.2 d vs. 9.0±3.4 d, t=2.92, P=0.004). Conclusion:The COVID-19 infection in liver transplant recipients was mainly mild and moderate. The most common symptoms are fever, fatigue, cough and myalgia. The short time (less than 12 months) after liver transplantation, oral mycophenolate mofetil and methylprednisolone, with symptoms (fatigue and cough) could be associated with a prolonged negative conversion time.

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