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

TIME：（使用证据进行住院患者监测的工具）确保安全

基本信息

批准号：
7347232
负责人：
RANDOLPH A MILLER
金额：
$ 5.53万
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
起止时间：
2004-02-01 至 2007-06-14
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/7347232
关键词：
Abnormal Laboratory Test Result Accreditation Acute myocardial infarction Admission activity Adverse drug effect Adverse effects Algorithms Ambulatory Monitoring Appendix Basic Science Caring Chest Pain Classification Clinical Code Complex Computer Assisted Computerized Medical Record Condition 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 Medical Surveillance Methods Methotrexate Modality Monitor Myopathy Natural Language Processing Numbers 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 Purpose Recording of previous events Records Registries Reporting Research Research Personnel Risk Rofecoxib Sampling Score Screening procedure Sentinel Severities Site Standards of Weights and Measures 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 concept healthy volunteer impression innovation knowledge base member mortality novel post-market programs telithromycin text searching tool

项目摘要

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.

时间（监测门诊药物效果和新毒性）的时刻将延长进行安全且适当的测试赠款的过程中（用于使用证据的住院监视工具），＃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良出现紧急和医院护理的患者的药物影响。使用自然语言处理增强的基于UMLS的概念标识符，这一刻将检测到：（a）潜在的个人临床表现（症状和身体检查发现）与药物有关；（b）临床综合征（例如肝毒性，肌病，肾脏不足，葡萄糖不耐症）；（c）和临床疾病（例如由氢嗪或丙酰胺诱导的全身性狼疮或急性与rofecoxib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代表潜在药物影响的抽象概念从患者病史和身体检查记录和辅助测试报告中，证据的结合 - 基于模板和诊断算法检测药物毒性的复杂模式（例如，肝素损害，肺纤维化或急性冠状动脉综合征），用于确定的晚期统计方法大量人群的药物影响，并利用包含数据的临床数据库多于 100,000名患者。公开声明时刻项目（监测门诊药物效应和新毒性）将证明在许多医疗机构中越来越多地存在信息学应用程序的可行性 - 电子病历系统和护理提供商订单输入（CPOE）系统 - 创建高级检测和监测系统不良药物效果。该项目将开发工具和检测患者症状，身体检查的体征，测试结果和医学诊断算法可能表明药物诱导的损伤。