Exploration of Infection Prevention and Control Practice of Designated Hospitals in During Corona Virus Disease 2019 Epidemic Period

Corona Virus Disease 2019(COVID-19)is a new infectious disease that appeared in whan in December 2019 Since January23,the national health and fitmess commission has required hospitals to be designated in accordance with the principle of"concentrating patients,experts,resources and treatment".Designated hospitals are often the strength of the general hospital and general hospital complex layers of various kinds of personnel,campus area is large,multi-channel,ordinary outpatient accepts people more,for emergency and severe cases treatment in patients with normal difficulty pressuure big,suspected/confirmed cases,combined with the COVID-19 occurred when the traditional holiday,the country launched the emergency response since,process reform faces a difficult labor,shortage of mampower,protective shortages,short time limit,and many other difficulties,hospital infection prevention and control is facing unprecedented pressure.In this paper,the West China-Guang'an Hospital,Sichuan University(Guang'an people's hospital)as a designated hospital,on the basis of the relevant scheme of the national health committee,epidemic prevention and control of the actual,combined with comprehensive hospital leadership,mampower allocation,protection,security,patient management,disinfection isolation,preview triage,preventive measures,training,monitoring,etc.,with practical experience summary for the COVID-19 diring the hospital infection prevention and control to improve the practice exploration.

External Validation of SENIC and NNIS Scores for Predicting Wound Infection in Colorectal Surgery

Objective: We aimed to identify the ratio of Surgical Site Infection (SSI) and also the validity of the National Nosocomial Infection Survellance (NNIS) and Study on the Efficacy of Nosocomial Infection Control (SENIC) risk indexes in colorectal surgery, among Turkish population. Background: Some problems have been reported with the power of NNIS risk index to predict the risk of surgical site infection. We aimed to validate theNNIS and SENIC risk indexes in colorectal surgery. Methods: Between January 2003 and December 2006, surgical site ?nfection survellance was performed to 107 patient who undergo colorectal surgery with NNIS and SENIC risk scales. The mean patient age was 48 years (range, 17 to 86), and 61.7% of the group (66) was female. For this patient cohort, 6 (5.6%) were diagnosed with incisional SSI. While the mean Body Mass Index (BMI) of all patients was 26.6;mean value of BMI among the patiens with SSI was 27.8.Results: 6 insicional surgical site infection were observed during the study. According to Receiver Operating Characteric (ROC) curve analyze neither NNIS with avalue of 0.70, nor SENIC with a value of 0.67 are perfect risk indexes. Conclusion: As a result both NNIS and SENIC ?s a good risk indexes but not perfect. Scarcely when NNIS and SENIC is used together to predict the SSI they forecast the development of infection better. But there is a lot of other factors that effect the development of SSI, so for excellent surveillance risk index those factors known by everyone must be added to risk index scales.

A Blockchain-Based Life-Cycle Environmental Management Framework for Hospitals in the COVID-19 Context

During the coronavirus disease 2019 (COVID-19) emergency, many hospitals were built or renovated around the world to meet the challenges posed by the rising number of infected cases. Environmental management in the hospital life cycle is vital in preventing nosocomial infection and includes many infection control procedures. In certain urgent situations, a hospital must be completed quickly, and work process approval and supervision must therefore be accelerated. Thus, many works cannot be checked in detail. This results in a lack of work liability control and increases the difficulty of ensuring the fulfillment of key infection prevention measures. This study investigates how blockchain technology can transform the work quality inspection workflow to assist in nosocomial infection control under a fast delivery requirement. A blockchain-based life-cycle environmental management framework is proposed to track the fulfillment of crucial infection control measures in the design, construction, and operation stages of hospitals. The proposed framework allows for work quality checking after the work is completed, when some work cannot be checked on time. Illustrative use cases are selected to demonstrate the capabilities of the developed solution. This study provides new insights into applying blockchain technology to address the challenge of environmental management brought by rapid delivery requirements.

疫情期间非定点医院急诊管理的实践与思考

基于危机管理4R理论进行文献检索,结合医院的实际情况梳理管理难点,制定疫情期间非定点救治综合医院的急诊管理策略和流程。从急诊管理的组织架构、空间划分、诊疗流程、人员管理、院感防控、志愿服务等环节完善优化急诊管理流程,并在具体应用过程中不断调整。2022年3月28日-6月1日上海本轮疫情期间,复旦大学附属中山医院多次单日急诊接诊量超1000人,抢救室留观患者170余人,接诊救护车100余辆。2022年1-4月救护车接诊总量位列上海市第一。疫情期间中山医院在遵守上级部门不同阶段疫情防控相关要求的同时,优化急诊管理策略和流程,很好地保障和满足了急诊患者的就医需求。

方舱医院网格同质化管理实践:以上海嘉定南翔方舱医院为例

介绍上海嘉定南翔方舱医院在运行管理过程中,通过建立5级网格化管理体系,开展方舱医院的医疗、护理、医院感染防控3大重点工作,对医务人员实现同质化管理,确保方舱医院的高效运转。运行36 d,南翔方舱累计入院4 281人,累计出院4 178人,累计转院103人,未发生医务人员感染事件以及患者安全事故,医院运行效率显著。总结并提炼该方舱的运行管理模式,供相关医疗机构、医疗队和卫生行政部门参考。