University of Minnesota Duluth professor Ted Pedersen and University Minnesota Twin Cities professor Serguei Pakhomov have been awarded a three-year, $935,000 National Institutes of Health research grant to develop natural-language processing (NLP) techniques that search through medical records to quickly detect widespread adverse drug reactions. Pedersen says the goal of the project is to improve the quality of post-marketing surveillance for adverse drug reactions. He notes that although the Food and Drug Administration approves all drugs before making them available, people often take so many drug combinations that it is not possible to test every interaction. Additionally, pharmaceutical companies may not have conducted enough studies to identify possible adverse reactions, he says. Pedersen will use NLP to develop methods that can identify different statements that have similar underlying meanings in medical records to enable the quick identification of patients who are taking similar combinations of drugs and possibly suffering from adverse reactions.
University of Minnesota Duluth (01/21/09) Latto, Susan Beasy
