TIME:(Tools for Inpatient Monitoring using Evidence)for Safe & AppropriateTesting

Moment In Time(监测门诊用药效果和新毒性)项目将延长 安全和适当的检测拨款的进行时间(使用证据进行住院监测的工具)， #5 R01 LM007995-03，通过开发复杂的文本挖掘和数据提取工具来检查不利的 药物对急诊和医院护理病人的影响。 使用自然语言处理增强的基于UMLS的概念识别符，Moment项目 将检测到：(A)个别临床表现(症状和体检结果)可能 与药物有关；(B)临床症状(如肝毒性、肌病、肾功能不全、糖耐量减低)； 和，(C)和临床疾病(如肼或普鲁卡因胺引起的系统性红斑狼疮，或急性 与罗非昔布相关的心肌梗死)。拟议工作的创新方面包括使用 高级自然语言处理技术，用于抽象代表潜在药物效果的概念 从病史、体检记录和辅助测试报告来看，综合证据- 基于模板和诊断算法来检测药物毒性的复杂模式(例如，肝细胞 损害、肺纤维化或急性冠脉综合征)，用于确定 大量人群中的用药效果，以及临床数据库的使用情况，其中包含超过 10万名患者。 公开声明 Moment项目(监测门诊用药效果和新的毒性)将展示 将越来越多的医疗机构中出现的信息学应用程序结合在一起的可行性- 电子病历系统和护理提供者订单录入(CPOE)系统-创建高级 药品不良反应检测监测系统。该项目将开发工具和 检测患者症状、体检体征、测试结果和医疗诊断的算法 可能表明是药物引起的伤害。

The MOMENT (Monitoring for Outpatient Medication Effects and New Toxicities) in TIME project will extend the in-progress TIME (Tools for Inpatient Monitoring using Evidence) for Safe and Appropriate Testing grant, #5 R01 LM007995-03, by developing sophisticated text-mining and data extraction tools to examine adverse drug effects in patients presenting for emergency and hospital care. Using a UMLS-based concept identifier enhanced with natural language processing, the MOMENT project will detect: (a) individual clinical manifestations (symptoms and physical exam findings) that are potentially drug related; (b) clinical syndromes (e.g., hepatoxicity, myopathy, renal insufficiency, glucose intolerance); and, (c) and clinical diseases (such as systemic lupus induced by hydralazine or procainamide, or acute myocardial infarction associated with rofecoxib). Innovative aspects of the proposed work include use of advanced natural language processing techniques to abstract concepts representing potential drug effects from patient history and physical examination records and ancillary test reports, the combination of evidence- based templates and diagnostic algorithms to detect complex patterns of drug toxicity (e.g., hepatocelluar damage, pulmonary fibrosis, or acute coronary syndrome), advanced statistical methods for determining medication effects in large populations, and utilization of a clinical database containing data on more than 100,000 patients. Public Statement The MOMENT project (Monitoring for Outpatient Medication Effects and New Toxicities) will demonstrate the feasibility of combining informatics applications increasingly present in many healthcare institutions - electronic medical record systems and care provider order entry (CPOE) systems - to create an advanced detection and monitoring system for adverse medication effects. The project will develop tools and algorithms to detect the patient symptoms, physical exam signs, test results, and medical diagnoses that may indicate drug-induced injury.