MOMENT（门诊药物效果和新毒性的及时监测）-猫眼课题宝

MOMENT（门诊药物效果和新毒性的及时监测）

批准号：

7638001

负责人：

RANDOLPH A MILLER

金额：

$37.42万

依托单位：

VANDERBILT UNIVERSITY

依托单位国家：

美国

项目类别：

财政年份：

2004

资助国家：

美国

项目状态：

已结题

起止时间：

2004-02-01 至 2011-06-14

来源：

https://reporter.nih.gov/project-details/7638001

关键词：

Abnormal Laboratory Test Result Accreditation Acute myocardial infarction Admission activity Adverse drug effect Adverse effects Algorithms Ambulatory Monitoring Basic Science Caring Chest Pain Classification Clinical Code Complex Computer Assisted Computerized Medical Record Congenital Abnormality Coronary heart disease Data Databases Detection Diagnosis Diagnostic Diagnostic Procedure Disease Diuretics Drug Delivery Systems Drug Exposure Drug Prescriptions Drug Utilization Drug toxicity Drug usage Edema Electronic Health Record Emergency Situation Evaluation Event Frequencies Glucose Intolerance Grant Healthcare Hepatotoxicity Hormones Hospitalization Hospitals Hour Hydralazine Image Inappropriate ADH Syndrome Individual Informatics Injury Inpatients Institution Joints Kidney Failure Knowledge Laboratories Letters Link Literature Liver Cirrhosis Lower Extremity Lupus Manufacturer Name Marketing Medical Methods Methotrexate Modality Monitor Myopathy Natural Language Processing Non-Prescription Drugs Outcome Outpatients Pathology Patients Pattern Pattern Recognition Pharmaceutical Preparations Pharmacologic Substance Phase Phase II/III Trial Physical Examination Population Predictive Value Procainamide Process Provider Pulmonary Fibrosis Recording of previous events Records Registries Reporting Research Research Personnel Risk Rofecoxib Sampling Screening procedure Sentinel Severities Site Statistical Methods Symptoms Syndrome System Techniques Test Result Testing Text Time TimeLine Toxic effect United States Food and Drug Administration Universities Vocabulary Work abstracting acute coronary syndrome base care systems clinical practice evidence base healthy volunteer impression innovation knowledge base member mortality novel patient population post-market programs telithromycin text searching tool

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中文摘要

翻译

描述(由申请人提供)： Moment(监测门诊用药效果和新的毒性)In Time项目将通过开发复杂的文本挖掘和数据提取工具来检查急诊和医院护理患者的不良药物影响，从而延长安全和适当测试补助金的进行时间(使用证据进行住院监测的工具)，#5 R01 LM007995-03。 Moment项目将使用经过自然语言处理增强的基于UMLS的概念识别器，检测：(A)可能与药物有关的个人临床表现(症状和体检结果)；(B)临床症状(例如，肝毒性、肌病、肾功能不全、糖耐量异常)；以及(C)和临床疾病(如肼或普鲁卡因胺引起的系统性红斑狼疮，或与罗非昔布有关的急性心肌梗死)。拟议工作的创新方面包括使用高级自然语言处理技术从患者病史、体检记录和辅助测试报告中提取代表潜在药物效果的概念，基于证据的模板和诊断算法的组合以检测药物毒性的复杂模式(例如，肝细胞损伤、肺纤维化或急性冠脉综合征)，在大量人群中确定药物效果的先进统计方法，以及使用包含100,000多名患者数据的临床数据库。公开声明 Moment项目(监测门诊用药效果和新的毒性)将展示将越来越多地出现在许多医疗机构中的信息学应用程序--电子病历系统和护理提供者订单录入(CPOE)系统--相结合的可行性，以创建一种先进的药物不良反应检测和监测系统。该项目将开发工具和算法来检测患者的症状、体检迹象、测试结果和可能表明药物导致的伤害的医疗诊断。

英文摘要

DESCRIPTION (provided by applicant): 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.

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