Proceedings. AMIA Symposium最新文献

Electronic Patient Record 电子病历

Proceedings. AMIA Symposium Pub Date : 2020-01-01 DOI: 10.1007/978-3-030-39903-0_300580

引用次数: 19

Medical informatics as a market for IS/IT 医学信息学作为信息技术/信息技术的市场

Proceedings. AMIA Symposium Pub Date : 2005-01-31 DOI: 10.1002/meet.1450390104

T. Morris

引用次数: 2

Disambiguation Data: Extracting Information from Anonymized Sources 消歧数据:从匿名来源提取信息

Proceedings. AMIA Symposium Pub Date : 2002-11-01 DOI: 10.1197/JAMIA.M1240

S. Dreiseitl, S. Vinterbo, L. Ohno-Machado

引用次数: 16

Effects of Data Anonymization by Cell Suppression on Descriptive Statistics and Predictive Modeling Performance 细胞抑制数据匿名化对描述性统计和预测建模性能的影响

Proceedings. AMIA Symposium Pub Date : 2002-11-01 DOI: 10.1197/jamia.M1241

L. Ohno-Machado, S. Vinterbo, S. Dreiseitl

引用次数: 19

An Integrated System for Significant Anaesthetic Events Monitoring 重大麻醉事件监测的集成系统

Proceedings. AMIA Symposium Pub Date : 2002-11-01 DOI: 10.1197/JAMIA.M1220

P. Böelle, F. Bonnet, A. Valleron

{"title":"An Integrated System for Significant Anaesthetic Events Monitoring","authors":"P. Böelle, F. Bonnet, A. Valleron","doi":"10.1197/JAMIA.M1220","DOIUrl":"https://doi.org/10.1197/JAMIA.M1220","url":null,"abstract":"Patient safety assessment in anaesthesia increasingly relies on the monitoring of frequent but merely undesirable events, like hypotension. We report on the design and implementation of such a monitoring system, where 8032 patients were included over a three years period. Thirty two 'Significant Anaesthetic Events' were defined and their occurrence was routinely collected for each patient. A total of 2106 significant anaesthetic events were reported. The data were analysed using control charts, which showed that an undesirable event was recorded in 1 out of 4 interventions. The control chart showed that the incidence of significant anaesthetic events was out of the expected boundaries during one month. The system sensitivity to change in the frequency of significant anaesthetic events was investigated by a controlled intervention, designed to increase the incidence of bradycardia by changing anxyolitic medication. During the intervention, the incidence of bradycardia doubled, while the incidence of other undesirable events was not affected. The system described for the collection of significant anaesthetic events was easy to set up, sensitive to changes and provided valuable tools in performance monitoring.","PeriodicalId":79712,"journal":{"name":"Proceedings. AMIA Symposium","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2002-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1197/JAMIA.M1220","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66391566","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 8

Challenges in Using the Arden Syntax for Computer-Based Nosocomial Infection Surveillance 在基于计算机的医院感染监测中使用Arden语法的挑战

Proceedings. AMIA Symposium Pub Date : 2002-11-01 DOI: 10.1197/JAMIA.M1237

R. Jenders, Anuj P. Shah

{"title":"Challenges in Using the Arden Syntax for Computer-Based Nosocomial Infection Surveillance","authors":"R. Jenders, Anuj P. Shah","doi":"10.1197/JAMIA.M1237","DOIUrl":"https://doi.org/10.1197/JAMIA.M1237","url":null,"abstract":"CONTEXT\u0000Detection of outbreaks of infection in the hospital typically requires daily manual review of microbiology laboratory test results. This process is time-consuming, tedious, prone to error and may miss trends in infection. A standard formalism for procedural knowledge representation, the Arden Syntax, provides a vehicle for implementing algorithms for detecting such infections.\u0000\u0000\u0000OBJECTIVE\u0000To design and implement a computer-based system for detection of concerning patterns of infection or antibiotic resistance.\u0000\u0000\u0000SETTING\u0000Computer-based event monitor and central patient data repository at the Columbia-Presbyterian Medical Center (CPMC).\u0000\u0000\u0000RESULTS\u0000We designed a two-phase system, including initial filtering of individual patient laboratory results by Arden Syntax Medical Logic Modules (MLMs) and subsequent aggregation and analysis across patients and locations using a statistical monitor. Preliminary data for the filtration phase demonstrate a 94.8% reduction in the volume of messages that must be considered in surveillance.\u0000\u0000\u0000CONCLUSIONS\u0000Filtering raw laboratory results using a standard formalism eases the process of aggregating data across patients and sites as well as detecting trends in infection. There is a need for augmenting such formalisms in order to enable population-based decision support.","PeriodicalId":79712,"journal":{"name":"Proceedings. AMIA Symposium","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2002-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1197/JAMIA.M1237","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66391664","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 8

Closing the Loop in ICU Decision Support: Physiologic Event Detection, Alerts, and Documentation ICU决策支持的闭环:生理事件检测、警报和记录

Proceedings. AMIA Symposium Pub Date : 2002-11-01 DOI: 10.1197/JAMIA.M1238

Patrick R. Norris, B. Dawant

{"title":"Closing the Loop in ICU Decision Support: Physiologic Event Detection, Alerts, and Documentation","authors":"Patrick R. Norris, B. Dawant","doi":"10.1197/JAMIA.M1238","DOIUrl":"https://doi.org/10.1197/JAMIA.M1238","url":null,"abstract":"Automated physiologic event detection and alerting is a challenging task in the ICU. Ideally care providers should be alerted only when events are clinically significant and there is opportunity for corrective action. However, the concepts of clinical significance and opportunity are difficult to define in automated systems, and effectiveness of alerting algorithms is difficult to measure. This paper describes recent efforts on the Simon project to capture information from ICU care providers about patient state and therapy in response to alerts, in order to assess the value of event definitions and progressively refine alerting algorithms. Event definitions for intracranial pressure and cerebral perfusion pressure were studied by implementing a reliable system to automatically deliver alerts to clinical users alphanumeric pagers, and to capture associated documentation about patient state and therapy when the alerts occurred. During a 6-month test period in the trauma ICU at Vanderbilt University Medical Center, 530 alerts were detected in 2280 hours of data spanning 14 patients. Clinical users electronically documented 81% of these alerts as they occurred. Retrospectively classifying documentation based on therapeutic actions taken, or reasons why actions were not taken, provided useful information about ways to potentially improve event definitions and enhance system utility.","PeriodicalId":79712,"journal":{"name":"Proceedings. AMIA Symposium","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2002-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1197/JAMIA.M1238","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66391778","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 22

Value of ICD-9-Coded Chief Complaints for Detection of Epidemics icd -9编码主诉对传染病检测的价值

Proceedings. AMIA Symposium Pub Date : 2002-11-01 DOI: 10.1197/JAMIA.M1224

F. Tsui, M. Wagner, V. Dato, C. Chang

引用次数: 131

Developing a taxonomy for research in adverse drug events: potholes and signposts 制定药物不良事件研究的分类:坑洼和路标

Proceedings. AMIA Symposium Pub Date : 2002-11-01 DOI: 10.1197/jamia.M1234

J. Nebeker, John F. Hurdle, Jennifer M. Hoffman, Beverly Roth, C. Weir, M. Samore

引用次数: 65

Modeling the Effects of Epidemics on Routinely Collected Data 流行病对常规收集数据的影响建模

Proceedings. AMIA Symposium Pub Date : 2002-11-01 DOI: 10.1197/JAMIA.M1219

Xiaoming Zeng, M. Wagner

引用次数: 32