A dashboard-based system for supporting diabetes care
A dashboard-based system for supporting diabetes care
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DOI：
10.1093/jamia/ocx159
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发表时间：
2018-05-01
影响因子：
6.4
通讯作者：
Bellazzi, Riccardo
中科院分区：
文献类型：
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作者：
Dagliati, Arianna;Sacchi, Lucia;Bellazzi, Riccardo
目的：描述的发展，作为欧盟的MOSAIC（模型和模拟技术发现糖尿病的影响因素）项目的一部分，一个基于仪表板的2型糖尿病的管理系统，并评估其对临床practice.Methods的影响：MOSAIC仪表板系统是基于预测建模，纵向数据分析，并从医院和公共卫生存储库的数据的重用和整合。数据被合并到一个i2b2数据仓库中，该数据仓库提供一组高级的时间分析模型，包括时间抽象、护理流挖掘、药物暴露模式检测和2型糖尿病并发症的风险预测模型。仪表板有2个组成部分，设计用于（1）随访咨询期间的临床决策支持和（2）关注人群的结局评估。为了评估临床决策支持组件的影响，进行了一项前后研究，考虑了访视持续时间、筛选检查次数和生活方式干预。对700名意大利患者的试点样本进行了调查。结果：在临床活动中使用决策支持组件可缩短就诊时间（P
Objective: To describe the development, as part of the European Union MOSAIC (Models and Simulation Techniques for Discovering Diabetes Influence Factors) project, of a dashboard-based system for the management of type 2 diabetes and assess its impact on clinical practice.Methods: The MOSAIC dashboard system is based on predictive modeling, longitudinal data analytics, and the reuse and integration of data from hospitals and public health repositories. Data are merged into an i2b2 data warehouse, which feeds a set of advanced temporal analytic models, including temporal abstractions, care-flow mining, drug exposure pattern detection, and risk-prediction models for type 2 diabetes complications. The dashboard has 2 components, designed for (1) clinical decision support during follow-up consultations and (2) outcome assessment on populations of interest. To assess the impact of the clinical decision support component, a pre-post study was conducted considering visit duration, number of screening examinations, and lifestyle interventions. A pilot sample of 700 Italian patients was investigated. Judgments on the outcome assessment component were obtained via focus groups with clinicians and health care managers.Results: The use of the decision support component in clinical activities produced a reduction in visit duration (P