Working with the Information Technology Division of the Jet Propulsion Laboratories in Pasadena, California the VPICU has explored multiple approaches to complex data management in pediatric critical care medicine. Borrowing heavily on expertise obtained from the data structure of the Planetary Data System, analogies to complex medical data management have yielded insights not only into data structure for advanced data bases but also into how to 'learn' from the data.
The purpose of the JPL / VPICU collaboration is to ultimately provide a multi-national, automated database for pediatric critical care that will be highly granular with complex physiologic, diagnostic and treatment related data. Learning from this data set will inform patient management decisions in real time in PICUs through out the country and allow comparison of current patient management to national 'norms'. Additionally data mining techniques are expected to provide unique insights into how critical illness happens to children.
This collaboration involves Childrens Hospital Los Angeles and Pediatric Critical Care Medicine at Johns Hopkins Hospital in Baltimore, Maryland. Automated bedside data capture from proprietary data capture systems provides the first link in this system. Translation into a common and accessible medical semantic architecture forms the next step. Meta-data labeling and data repository architecture design is ongoing. Finally, data access, mining and statistical analysis and validation will be necessary to assure a large, comprehensive, searchable data repository to support pediatric critical care.
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