ABSTRACT
Objective Diagnosis related groups ( DRGs) is a system to classify hospital cases into groups , which is effective in the control of medical cost .The article was to explore the DRGs grouping method and quality control indexes of cerebrovascular dis -ease in Nanjing first-class hospitals at grade 3. Methods Polytomous logistic regression for ordinal response was used in the factor analysis of hospitalization cost .E -CHAID decision tree method was applied in the DRGs grouping of cerebrovascular patients . Results Totally 9095 cases were enrolled in this study with the average age was (64.52 ±14.85).The average of stay lengths and expenses were (11.77 ±9.26)d and (25921.04 ±23096.76)rmb respectively.Hospitalization expense was associated with neurologi-cal surgery, main diagnosis, interventional surgery, main complication and ICU days.Taking neurological surgery as the first forced variable, cerebrovascular cases could be divided into 14 DRGs groups. Conclusion The terminal quality control index , the step warning index and case maximum index of cerebrovascular disease established by the DRGs grouping method are suitable in the area .
ABSTRACT
The hospital grade assessment is an effective approach to measure the comprehensive strength and the overall level of a hospital, and it is also an effective carrier which can promote the standardized management , improve the quality of connotation and accelerate the development of the hospital .This article aims to expound the effective and concrete methods for preparation in the hospi -tal grade assessment by introducing the practice and experience of Jinling Hospital in grade assessement .It also points out that:defi-ning the purpose of the assessment is the fundation , having a thorough grasp of the assessment criteria is the basis , having a compre-hensive knowledge of the hospital is the premise , establishing and implementing the plan strictly is the crux .All these might be helpful to promote the hospital grade assessment .
ABSTRACT
The independent component analysis is a new method for signal processing, which has been paid attention to in the field of biomedical engineering. This paper introduces the design of biopotential analysis system based on ICA neural network and discusses its foundamental components.
ABSTRACT
With the modernization of the medical records and the planning implementation of informationalized strategy,the management of medical records has been extended to the stage of supervising resources electronic and digital,also the informationalized features is more evident.one reason is the integration and storage of medical records information need informationalized technology support,and the other is the socialization of utilizing medical records needs the internet technology as platform,and the third is the exploration and utilization of resources in medical records requires advanced data warehouse and data mining technology as guaranty,at the same time,the management of medical records information have the man-made risk of divulging secrets,the risk of damage to the integrity,the risk may be to deny the fact,as well as the risk of information systems security.The corresponding preventive measures taken to standardize the medical records management processes,improve its management system and the law,will be a long-term and arduous task to the quality manager.
ABSTRACT
The nonlinear wavelet method is used to detect ECG signal. The ECG signal disrupted by high-frequency noise is decomposed with a dyadic Daubechies wavelet according to Mallat algorithm. The principle of the nonlinear wavelet detection method is discussed. Along with the Lipschitz criterion, it is applied to denoising the disrupted ECG signal. The ECG signal is effectively recovered while denoised.