Klann Jeffrey G, Pfiffner Pascal B, Natter Marc D, Conner Emily, Blazejewski Paul, Murphy Shawn N, Mandl Kenneth D
Partners Healthcare, Boston, MA;; Harvard Medical School, Boston, MA;; Massachusetts General Hospital, Boston, MA;
Harvard Medical School, Boston, MA;; Boston Children's Hospital, Boston MA;
AMIA Annu Symp Proc. 2015 Nov 5;2015:747-55. eCollection 2015.
Postmarketing drug surveillance is critical to assessing adverse events associated with medications, because prelaunch clinical trials frequently miss negative drug effects. The Informatics for Integrating Biology and the Bedside platform (i2b2) has been used effectively for this. However, previous work suffers from incomplete medical data present in electronic health record (EHR) systems. Here, we develop a system to integrate non-traditional data sources with EHR data: pharmacy dispensing information and patient-reported data. We implement and validate a toolset to gather medication data from a Pharmacy Benefit Manager network, import it into an i2b2 EHR repository using a standard data format, merge it with the EHR data, and present it to for annotation with results returned to i2b2. This toolkit is enabling studies on medication list data quality, adherence, and adverse event detection.
上市后药物监测对于评估与药物相关的不良事件至关重要，因为上市前的临床试验常常会遗漏药物的负面效应。整合生物学与床边信息学平台（i2b2）已有效地用于此目的。然而，先前的工作受到电子健康记录（EHR）系统中存在的不完整医疗数据的困扰。在此，我们开发了一个系统，将非传统数据源与EHR数据整合起来：药房配药信息和患者报告数据。我们实现并验证了一套工具集，用于从药房福利管理网络收集用药数据，使用标准数据格式将其导入i2b2 EHR存储库，与EHR数据合并，并将其呈现以供注释，结果返回给i2b2。该工具包有助于开展关于用药清单数据质量、依从性和不良事件检测的研究。
