Integration of heterogeneous systems is the key to hospital information construction due to complexity of the healthcare environment. Currently, during the process of healthcare information system integration, people participating in integration project usually communicate by free-format document, which impairs the efficiency and adaptability of integration. A method utilizing business process model and notation (BPMN) to model integration requirement and automatically transforming it to executable integration configuration was proposed in this paper. Based on the method, a tool was developed to model integration requirement and transform it to integration configuration. In addition, an integration case in radiology scenario was used to verify the method.
Cooperative Behavior ; Health Information Systems ; Humans ; Models, Theoretical ; Systems Integration

Objective To study the effects of ischemic postconditioning and ischemic preconditioning on cerebral ischemia-reperfusion injury following middle cerebral artery occlusion in rats.Methods A reversible focal cerebral ischemia-reperfusion injury was modeled using middle cerebral artery occlusion. Thirty male Sprague-Dawley rats were randomized into three groups (n = 10 in each group) : a cerebral ischemia-reperfusion group, an ischemic postconditioning group and an ischemic preconditioning group. The impairment of neurological function was scored and the infarct volume, the activity of superoxide dismutase and malondiadehyde (MDA) content were measured after the operation.Results In the ischemic postconditioning and preconditioning groups the neurological function was better and the infarction volume was significantly smaller compared with the model group. In the preconditioning group both infarction volume and neurological function were significantly better than in the postconditioning group. In the brain tissues of the preconditioning and postconditioning groups MDA content was lower, while the activity of superoxide dismutase was significantly higher than in the model group.Conclusions lschemic postconditioning can attenuate pathological injury induced by focal cerebral ischemia and repedusion. The neuroprotective effect induced by ischemic preconditioning is stronger than that induced by ischemic postconditioning.

Objective To cxplore the research and application of big data mining technology in clinical healthcare environment.Methods The characteristics of clinical heahhcare data mining methods were expounded and the current research status of healthcare data mining technology was analyzed in clinical task according to the literature mining.Meanwhile,the application of healthcare data mining in clinical environment was introduced from the following four aspects:medicine research,personalized diagnosis,risk prediction and process mining.Results The necessity and importance of research and application of clinical healthcare data mining were illustrated.Moreover,the achicvements of healthcare data mining in clinical application,as well as existing problems and technical difficulties were summarized.Furthermore,the development tendencies of healthcare data mining were predicted.Conclusion The research and application of clinical healthcare data mining have improved the healthcare quality and promoted the medical advances,which is the developmcnt direction of clinical healthcare research.

Although 3D heart and torso model with realistic geometry are the basis of simulation computation in LFX Virtual Cardiac Model, the simulation results are mostly output in 2D format. Voxel mapping method is presented to solve this problem and extend the function of LFX Virtual Cardiac Model. Excitation Isochrone Map (EIM), one of the most important simulation results, was mapped from cardiac model with realistic geometry to real Visible Man cardiac model, then the EIM simulation data before and after mapping were visualized in the 4DView which is a real-time 3D medical image visualization platform. With this method, the output format of EIM simulation data of LFX Virtual Cardiac Model was extended from 2D to 4D (time is the 4th dimension) and from cardiac model with realistic geometry to real cardiac model. According to the EIM simulation data visualization results before and after mapping, the LFX virtual cardiac model shows its characteristics with more realistic and effective simulation.
Algorithms ; Computer Graphics ; Computer Simulation ; Electrocardiography ; Humans ; Imaging, Three-Dimensional ; Models, Cardiovascular ; Myocardial Contraction ; Software ; User-Computer Interface

System integration is inevitable since there are lots of heterogeneous medical information systems in the complicated medical environment. The current medical communication standards often focus on one aspect of the integration and do not provide a general scheme. Based on the analysis of the application of medical integration, the medical integration model HIM (Healthcare integrating model) is put forward, and the dataflow integration framework, function integration framework and interface integration framework in the HIM are designed subsequently. HIM provides a 3-D scheme for the integration of medical information systems, which not only contains the three aspects of integration application vertically, but covers the whole medical area horizontally.
Database Management Systems ; Information Management ; methods ; Medical Informatics Applications ; Models, Theoretical ; Systems Integration

The digital clinical guidelines could greatly improve the safety and quality of clinical diagnosis and treatment. However, most of such guidelines were written in engineering language, which was difficult for clinicians to understand in practice. To tackle this problem, we adoped the flowchart as the visual representation method of digital clinical guidelines. The corresponding criterions expressed by the flowchart were easily understood by clinicians. Then we set the digital clinical guidelines written in Arden syntax as an example, the interconversion between flowcharts and digital clinical guidelines was realized. The result of using the visual representation method proposed in this paper shows that the clinical diagnosis logic becomes clear and intuitive. So this is an effective method for clinicians to understand and edit the digital clinical guidelines.
Decision Support Systems, Clinical ; Humans ; Libraries, Digital ; Practice Guidelines as Topic ; Software

Based on the integration of the advanced visualization toolkit (VTK) and the real-time rendering System (VolumePro), 4D View, a 3D real-time visualization system of medical image, which applies real-time 3D medical image (such as MR, CT image, etc.) visualization and interaction was developed. Firstly the VTK, VolumePro and their integration were introduced briefly; then the system design and function template of 4D View system was discussed in detail; finally some visualization results acquired through 4D View was illustrated. According to the results, 4D View system can effectively resolve the poor real-time characteristic of 3D medical image visualization and interaction, so it will have a wide application area of the clinical diagnosis, therapy and medical research, etc in future.
Image Processing, Computer-Assisted ; instrumentation ; Imaging, Three-Dimensional ; instrumentation ; Software ; Systems Integration

Objective:To explore the correlation between preoperative echocardiography indicators and surgical prognosis of children with ventricular septal defect (VSD) and conduct verification based on significant indicators and indicator ratios.Methods:A total of 1 357 children with VSD who were admitted to the Children′s Hospital, Zhejiang University School of Medicine from June 2016 to June 2021 were selected. Various measurements including the size of the VSD, left ventricular ejection fraction (LVEF), left atrial (LA) diameter, the aortic (AO) flow rate, the tricuspid regurgitation velocity and pressure gradient were extracted from preoperative echocardiography reports. This paper explored the correlation between echocardiography reports indicators, indicator ratios and postoperative auxiliary ventilation time, respectively. The patients were divided into two groups according to whether there were complications, and the differences of echocardiography reports indicators between the two groups were compared. A linear regression model was established to predict the postoperative auxiliary ventilation time using these indicators, and the least absolute shrinkage and selection operator (LASSO) regression model was used for variable selection.Results:The VSD size and AO flow velocity were weakly correlated with the postoperative auxiliary ventilation time ( r=0.32, 0.25; all P<0.01). There was no significant correlation between VSD flow velocity and postoperative auxiliary ventilation time. The AO flow velocity/VSD flow velocity and LVEF/VSD flow velocity were strongly correlated with the postoperative auxiliary ventilation time ( r=0.67, 0.51; all P<0.01). In the significance test, there were no significant differences in tricuspid regurgitation flow velocity, tricuspid regurgitation pressure gradient, LA diameter, and LVEF between the complication group and the non-complication group(all P>0.01). However, the ratio of LVEF/tricuspid regurgitation velocity in the complication group was significantly lower than that in the non-complication group, and the ratio of tricuspid regurgitation pressure gradient/LA diameter was significantly higher than that in the non-complication group (all P<0.01). The postoperative auxiliary ventilation time of VSD patients was predicted on an independent test set, with an R2 of 0.51. Conclusions:Echocardiography report indicator ratios of AO flow velocity/VSD flow velocity and LVEF/VSD flow velocity have strong correlations with postoperative auxiliary ventilation time in children with VSD, and the ratios of LVEF/tricuspid regurgitation velocity and tricuspid regurgitation pressure gradient/LA diameter are significantly different between groups with and without postoperative complications. The ratios of indicators can significantly improve this correlation and difference, which can be used to predict the prognosis of VSD operation.

Objective To establish a pediatric echocardiographic normal reference system based on clinical BigData and overcome limitations such as insufficient sample size and diverse in methods of normalization . Methods Measurements were extracted from total 71 831 pediatric echocardiography reports in the past 5 years by using the Natural Language Processing ( NLP) technology . Among them ,a total of 12 732 reports were labeled as normal and were used to establish the normal reference system . A local regression ( LOESS ) approach was used to optimize both the reference value and variance across 5 grow th variables ( aortic diameter ,left atrium diameter ,left ventricle end‐diastolic endocardial diameter ,left main coronary artery diameter ,and right main coronary artery diameter) . T wo Z scores adjusted for age/sex and body surface area ( BSA ) were established respectively . In addition , 4 459 echocardiography reports with BSA information were used to evaluate these two Z scores . Results T wo Z scores generated from 4 459 reports showed pretty good normal distribution . T here were close strong correlations among two Z scores with Z scores generated based on the Pediatric Heart Network ( PHN ) . T he average correlation coefficient between BSA‐adjust Z scores and PHN Z scores was 0 .954 . T he average correlation coefficient between age/sex‐adjust Z scores and PHN Z scores was 0 .895 . T he results of this project were available as Z score calculator using the following link :http ://hdb .nbscn .org/zscore . Conclusions BigData provides a more efficient and better approach to establish normal reference systems in pediatric echocardiography .