Author: Chen, Yi; Zhong, Wansi; Gong, Xiaoxian; Hu, Haitao; Yan, Shenqiang; Zhang, Xuting; Chen, Zhicai; Zhou, Ying; Lou, Min
                    Title: Rationale and design of individualized quality improvement based on the Computer Analysing system to improve Stroke management quality Evaluation (CASE): a multicenter historically controlled study.  Cord-id: ppj62sc1  Document date: 2020_7_24
                    ID: ppj62sc1
                    
                    Snippet: BACKGROUND Guideline-based medical care has been identified to improve outcomes in stroke. However, data acquisition and medical quality management during hospital stay still need to be improved in China. We have developed a computer-based medical data collecting system, together with automated calculation of key performance indicators (KPIs) and regular individualized education, and thus aim to explore whether it can improve the medical care quality of acute ischemic stroke (AIS) during hospita
                    
                    
                    
                     
                    
                    
                    
                    
                        
                            
                                Document: BACKGROUND Guideline-based medical care has been identified to improve outcomes in stroke. However, data acquisition and medical quality management during hospital stay still need to be improved in China. We have developed a computer-based medical data collecting system, together with automated calculation of key performance indicators (KPIs) and regular individualized education, and thus aim to explore whether it can improve the medical care quality of acute ischemic stroke (AIS) during hospital stay in stroke centers. METHODS The individualized quality improvement based on the Computer Analysing system to improve Stroke management quality Evaluation (CASE) trial is a prospective, multicenter, historical control study among 30 stroke centers in China. In this trial, the data is directly extracted from the saved original medical record of each AIS patient during hospital stay, regardless of different Electronic Medical Record System (EMRS) in each center. Then, the automated calculation of KPIs and the regular education via teleconference per month allow the clinicians to examine the causes of non-compliance of guideline-based care and develop programs to decrease their frequency. DISCUSSION We compare KPIs between pre-intervention stage and post-intervention stage (without or with education) among stroke centers. If proved effective, this approach might be generalized around China and even worldwide, where a unified EMRS is difficult to be applied and in-patient care needs to be improved. TRIAL REGISTRATION ClinicalTrials.gov NCT03684629 . Registered on 9 December 2018. Retrospectively registered.
 
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