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iT2DM Project: A Framework for Secondary Use of EHR Data for High-Throughput Phenotyping in Diabetes

机译：IT2DM项目：用于糖尿病高吞吐量表型的EHR数据的二次使用次要框架

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Diabetes is one of the major burdens in health care, but could be controlled if the relevant data are well-managed. Referring to current successful cases, we designed a framework for the interoperability and integration of medical data in compliance with both archetype and reference information model specification. The clinical data model (CDM) was designed on the basis of OpenEHR archetypes and self-made patient generated health data (PGHD). Integrating healthcare enterprise (IHE) protocol was taken into integrating different modality data. After terminology mapping, the personal health record could be transferred and shared in different clinical information vendors complying with HL7 standards. Many fragment data such as blood glucose and gene data were also integrated to system. Those patients suspected of higher risk of diabetic retinopathy (DR) were grouped as case and other patients could be filtered as control cohort. Furthermore, the framework could be further developed for precision medicine.
机译：糖尿病是医疗保健的主要负担之一，但如果相关数据得到良好管理，可以控制。参考当前的成功案例，我们设计了一个框架，用于符合原型和参考信息模型规范的互操作性和医疗数据集成。临床数据模型（CDM）是根据Openehr原型设计的，自制患者产生的健康数据（PGHD）设计。集成了医疗保健企业（IHE）协议集成了不同的模态数据。在术语映射后，可以在符合HL7标准的不同临床信息供应商中转移和共享个人健康记录。许多片段数据如血糖和基因数据也集成到系统中。被涉嫌患糖尿病视网膜病变（DR）风险较高的患者被分组为案例，其他患者可以过滤为对照队列。此外，可以进一步开发框架以用于精密药物。

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