Xerox Language Technology Employed in Health Care Industry

 
 
By Nathan Eddy  |  Posted 2010-03-29 Email Print this article Print
 
 
 
 
 
 
 

Xerox tackles hospital-acquired infections with ALADIN, a three-year project sponsored by the French National Research Agency (ANRT) TecSan program, designed to promote applications in innovative health technologies.

Linguists at Xerox have teamed up with medical researchers in France to explore how "language technology" can help prevent hospital-acquired infections (HAIs), which affect millions of patients around the world. During a three-year project, researchers will use an advanced "text mining" tool developed by Xerox to analyze medical records, automatically identifying patients who could be at risk of contracting an HAI.

The project, titled Assistant de Lutte Automatis??«e et de D??«tection des Infections (ALADIN), is being sponsored by the French government in an effort to help detect HAIs more quickly and reduce infections.

The ALADIN team will use FactSpotter, a technology developed at the Xerox Research Centre Europe in France, to review medical records and identify specific terms and sequences of facts that indicate a patient may have contracted an HAI. The software not only pinpoints meaningful pieces of information, such as patient symptoms, drugs and names of bacteria, but also how they are linked to each other. When these links identify potential risk of an HAI, the system automatically alerts the staff, so preventative measures can be taken.

Developed in Grenoble, France, by researchers at the Xerox Research Centre Europe, the new text mining software combines a linguistic engine with a user-friendly interface so that users can query the system in everyday language. Unlike traditional enterprise search tools, FactSpotter looks not only for the keywords contained in a query but also the context of the document those words contain. The "smart" search engine can comb through almost any document regardless of the language, location, format or type.

"Hospital-acquired infections are complex and can have many different causes. They may be the direct result of the type of care or completely independent of it but linked to a patient's illness or condition," says Dr. Marie-H??«l???ne Metzger, H??pital Henry Gabriell medical lead on the project.  "Linguistic technology plays a vital role in extracting the information required to correctly judge the situation and make the right decision. That's what this project is all about."
 
According to the Centers for Disease Control, hospital-acquired infections in the United States result in an estimated 1.7 million infections and as many as 99,000 deaths yearly.  The cost is pegged at $45 billion annually.  In France alone, it is estimated that 4,000 HAI-related deaths occur each year and that a third of these could have been prevented.

"Every patient is different, which makes it impossible to capture every piece of relevant information in a checklist or form," says Fr??«d??«rique Segond, principal scientist at the Xerox Research Centre Europe and coordinator of the project. "Using our advanced text mining technology to analyze entire patient records, we can extract information specific to each case to help doctors evaluate the patient risk and quickly take the right action."


 
 
 
 
Nathan Eddy is Associate Editor, Midmarket, at eWEEK.com. Before joining eWEEK.com, Nate was a writer with ChannelWeb and he served as an editor at FierceMarkets. He is a graduate of the Medill School of Journalism at Northwestern University.
 
 
 
 
 
 
 

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