View clinical trials related to Quality Control.
Filter by:Purpose China has a population of 1.4 billion and an enormous medical expenditure burden, and Chinese traditional culture has a long history. It takes time to recognize and accept the concept of brain death (BD) as death. Promoting brain death determination (BDD) and rationally allocating medical resources have become major national policy issues. To identify the safest and most reliable ancillary tests needed if the clinical examination is incomplete. Method The technical group of the Brain Injury Evaluation Quality Control Center of the National Health Commission retrieved coma cases registered from 2013 to 2019. According to clinical criteria for Brain Death Determination (BDD), the patients were divided into two groups: a brain-death (BD) group and a non-BD group. The BD group was divided into a complete brain death with no doubt group (BD1 group) and an incomplete brain death with doubt group (BD2 group). Depending on the site of the brain injury, the accuracy of BDD was evaluated using the independent ancillary test or combined ancillary tests. Data from the BQCC/NHC database and yearbook were obtained, and data analysis and status comparison were conducted on six practical activities: organizational system construction, standard and specification formulation, case quality control, professional skills training, scientific research publicity and education, and international communication.
To investigate the degree of the real-time detection and classification system for increasing the adenoma detection rate during colonoscopy.
The aim of this study is to investigate and compare the validity of four different input methods for Landolt Cs, i.e. the proportion of correct gap positions in relation to the total number of performances. The four input methods are a numeric keypad, an eight-positions rocker switch, a remote control and voice feedback.
Since 2008, in France, hospital funding is determined by the nature of activities provided (activity-based funding). Quality control of hospital activity coding is essential to optimize hospital remuneration. There is a need for reliable tools to allocate human resources wisely in order to improve these controls.
Quality measures in colonoscopy are important guides for improving the quality of patient care. But quality improvement intervention is not taking place, primarily because of the inconvenience and expense. To address the difficulties above, we used artificial intelligence for quality control of colonoscopy.
In the Ghent University, an upgrade of the MRI-scanner used for research from Siemens Trio Tim to Siemens Prisma Fit is planned in the near future. As a change of MRI hard- and software might influence brain images, it is necessary to evaluate the images before and after the upgrade.