A Methodology Of Auto-creating Medical Data Representation And Acquisition Application Based On OpenEHR

With more than30years’ development of medical informatics in China, a variety of digital medical instruments and medical information systems applied in medical institutions have accumulated a large amount of medical data. Using the medical data has greatly improved the quality of medical services, but at the same time, the medical staff can only obtain these data through medical information systems, which makes them rely on the medical information systems. However, due to the rapid development of medical knowledge, complex needs about medical applications and other factors, traditional clinical software development methods can not fully meet the medical data needs in the medical activities, the accumulated medical data thus has not been fully utilized.The two-level model proposed by openEHR can to some extent solve this problem. The first level is the information level and the second level is the domain knowledge level. The Reference Model on the information layer is relatively stable, so that the data storage structure and the underlying software structure would not frequently change over time to adapt to the demand changes or the knowledge updating. The domain knowledge level composed by archetypes and templates can be directly defined by domain experts, and it "put the domain experts back into the driver’s seat".The openEHR two-level model approach makes the medical staff directly be involved in the development of the domain knowledge level of the medical software, thus makes it easier and faster to meet the medical data needs of the medical staff. On the basis of the two-level model, a method of creating a medical data representation and acquisition software based on the openEHR domain model had been implemented in this study in order to meet the complex clinical data representation and acquisition needs easier and faster. Based on this method, the domain experts develop the domain model, a medical data representation and acquisition software framework reads the domain model and automatically generate the medical software which meets the medical data acquisition and display needs. To achieve this goal, the dissertation carried out the following work:tudy the openEHR domain model, and for the complete expression of all the content that varying along with different needs in medical data display and input software, the openEHR template was expanded the information of graphical user interface and data manipulation and a Data Application Template was designed.he possible modes of editing the Data Application Template was analyzed, and a Data Application Template Editor applied for the domain experts was developed to provide a WYSIWYG edit mode.ccording to the actual application scenario, a medical data representation and acquisition software framework was developed,which was used to dynamically load the Data Application Template, openEHR archetypes and templates, and a medical data representation and acquisition software that meet the data storage, representation and acquisition needs could be created.Finally, in this thesis we selected the data collection and acquisition system for Alzheimer’s disease that have complex needs of medical data representation and acquisition. This method was practiced and validated to be effective.