详情

原文传递 Development of an Aeromedical Scientific Information System for Aviation Safety

题名：	Development of an Aeromedical Scientific Information System for Aviation Safety
作者：	Whinnery, James E.;Veronneau, Stephen J.;Rogers, Paul B.;Peterman, Connie L.;
关键词：	PILOTSZPILOTSZ, AVIATION SAFETYZAVIATION SAFETYZ, DECISION SUPPORT SYSTEMSZDECISION SUPPORT SYSTEMSZ, EPIDEMIOLOGYZEPIDEMIOLOGYZ, DATA BASESZDATA BASESZ, METRICSZMETRICSZ, AVIATION MEDICINEZAVIATION MEDICINEZ, DISEASESZDISEASESZ, INFORMATION RETRIEVALZINFORMATION RETRIEVALZ, CIVIL AVIATIONZCIVIL AVIATIONZ
摘要：	Introduction. The Bioinformatics Research Team at the Civil Aerospace Medical Institute (CAMI) uses data analysis techniques to study issues associated with medical certification decisions and their effects on the U.S. pilot population to ensure safety of flight. We developed a Scientific Information System to assist in research efforts associated with statistical and epidemiological studies of the U.S. civil pilot population. Significant data challenges exist relative to the integration and analysis of very large datasets associated with civil aviation. Methods. The CAMI aviation safety/medical certification data warehouse was created with data from varying time periods. Data includes NTSB mishap data from 1983 to 2005, FAA Accident Incident data from 1971 to 2005, airmen registry data (combined with medical certification data) from 1962 to 2005, toxicology data from 1990 to 2005, and autopsy data from 1980 to 2005. The research methodology, developed using records from the CAMI warehouse, was used to create the Aerospace Medical Research Scientific Information System that contains new metrics for comparing groups of aviators. This was done by developing a methodology that combined the various data sources into a single integrated database while transforming the data into a format conducive to epidemiological studies. Discussion. We will discuss the methodologies developed to create new metrics--Active Airmen, Months Contributed, and Effective Class--which show promise in comparing groups of aviators with various pathologic conditions. The distributions and evolution of pathologic conditions can be observed in the resulting Scientific Information System pilot population for the time period of interest. The Scientific Information System overcomes the data incongruities between the source databases and makes analysis possible with statistical programs. Conclusion. CAMI was successful in creating a Scientific Information System.
总页数：	24
报告类型：	科技报告