Practical Experience of Establishing German Standard Level 1 Perinatal Center in Chongqing Health Care for Women and Children

Germany,as a western developed country,has an advanced medical level,especially in the health care of very immature premature infants.We trace the medical history of perinatology to understand the development of perinatal centers in Germany.After analyzing the classification and function,hierarchical management and quality control systems of German perinatal centers,we established a German standard level 1 perinatal center in the Chongqing Health Center for Women and Children(CHCWC).During more than two years of practice,we changed concepts,continuously updated clinical knowledge and skills,developed a series o f high-quality work processes and supervision systems and introduced advanced medical equipment.We believe that the experience of establishing a German standard level 1 perinatal center and perinatal center network in Chongqing is worthy of being promoted to the Chinese maternal and child health care system.

Research on the Evaluation System of National Standards

This paper presents an evaluation system of national standard levels composed of certain indicators and their respective weights.The goal of quantitative evaluation of national standards was achieved by experts provided a reasonable basis to evaluate the national standard lecel.It will also play an important role in regulating standards and improving the national standards level.

Handwashing quality assessment via deep learning:a modelling study for monitoring compliance and standards in hospitals and communities

Background Hand hygiene can be a simple,inexpensive,and effective method for preventing the spread of infectious diseases.However,a reliable and consistent method for monitoring adherence to the guidelines within and outside healthcare settings is challenging.The aim of this study was to provide an approach for monitoring handwashing compliance and quality in hospitals and communities.Methods We proposed a deep learning algorithm comprising three-dimensional convolutional neural networks(3D CNNs)and used 230 standard handwashing videos recorded by healthcare professionals in the hospital or at home for training and internal validation.An assessment scheme with a probability smoothing method was also proposed to optimize the neural network’s output to identify the handwashing steps,measure the exact duration,and grade the standard level of recognized steps.Twenty-two videos by healthcare professionals in another hospital and 28 videos recorded by civilians in the community were used for external validation.Results Using a deep learning algorithm and an assessment scheme,combined with a probability smoothing method,each handwashing step was recognized(ACC ranged from 90.64%to 98.87%in the hospital and from 87.39%to 96.71%in the community).An assessment scheme measured each step’s exact duration,and the intraclass correlation coefficients were 0.98(95%CI:0.97-0.98)and 0.91(95%CI:0.88-0.93)for the total video duration in the hospital and community,respectively.Furthermore,the system assessed the quality of handwashing,similar to the expert panel(kappa=0.79 in the hospital;kappa=0.65 in the community).Conclusions This work developed an algorithm to directly assess handwashing compliance and quality from videos,which is promising for application in healthcare settings and communities to reduce pathogen transmis-sion.