Design of and rationale for the Japan Diabetes compREhensive database project based on an Advanced electronic Medical record System (J-DREAMS)
Design of and rationale for the Japan Diabetes compREhensive database project based on an Advanced electronic Medical record System (J-DREAMS)
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DOI：
10.1007/s13340-017-0326-y
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发表时间：
2017-11-01
影响因子：
2.2
通讯作者：
Kajio, Hiroshi
中科院分区：
文献类型：
--
作者：
Sugiyama, Takehiro;Miyo, Kengo;Kajio, Hiroshi
“基于先进的电子病历系统的日本糖尿病综合数据库项目”是日本糖尿病患者的登记。该登记处的特征包括使用电子病历(EMR)系统的模板功能的临床信息输入处理[标准糖尿病管理模板(SDMT)]、标准化的可交换信息存储格式[标准化结构化医疗信息交换2(SS-MIX2)]以及安全和高效的信息提取处理[多用途临床数据存储库系统(MCDRS)]。这些特性共同实现了常规患者会诊期间的高效数据输入、从每个设施高效而准确的数据提取，以及跨不同设施的数据集成，即使这些数据是由来自不同供应商的电子病历系统生成的。SDMT收集临床信息，包括糖尿病类型、身高和体重、血压、生活方式和合并症。完成此模板将触发对其他信息的自动收集，例如基本信息(性别、出生年月和机构)、处方信息和实验室检查结果。由于每次常规会诊的信息都与匿名的患者ID一起保存，因此关联数据可以用作允许进行纵向研究的面板数据。从登记处获得的数据将允许按不同特征或药物类型分析死亡率和发病率风险，并可能揭示未得到满足的需求，为未来的糖尿病治疗提供信息。
The "Japan Diabetes compREhensive database project based on an Advanced electronic Medical record System" is a registry of patients with diabetes in Japan. The characteristics of this registry include a clinical information input process using the template function of an electronic medical record (EMR) system [the standard diabetes management template (SDMT)], a standardized exchangeable information storage format [the Standardized Structured Medical Information eXchange 2 (SS-MIX2)], and a secure and efficient information extraction process [Multipurpose Clinical Data Repository System (MCDRS)]. Together, these characteristics enable efficient data input during routine patient consultations, efficient and exact data extraction from each facility, and the integration of data across different facilities even though these data were generated by EMR systems from different vendors. The SDMT collects clinical information including the type of diabetes, body height and weight, blood pressure, lifestyle, and comorbidities. Completing this template triggers the automatic collection of other information such as fundamental information (sex, year and month of birth, and facility), prescription information, and laboratory examination results. As the information from every routine consultation is saved with an anonymized patient ID, linked data can be used as panel data allowing longitudinal investigations. The data obtained from the registry will allow analyses, for exmaple, mortality and morbidity risk, by various characteristics or drug types and may reveal unmet needs that inform future diabetes care.