Proposal for automatically detecting adverse events “AutoGTT” submitted to Vinnova

The research group within “IT for Health” has submitted a three year research proposal to Vinnova

for automatically detecting adverse events with the title AutoGTT – An automatic trigger tool from patient record to better patient security.
According to the National Board of Health and Welfare (Socialstyrelsen) over 8.6 percent of all patients in Sweden are affected by adverse events, sometimes also with a fatal outcome. To monitor adverse events today one takes samples from patient records and decides whether a patient had an
adverse event or not. Our research proposal envisions a semi automatic method that hopefully is more accurate, faster and with a larger coverage than the manual GTT method. The partners in this project proposal are DSV/Stockholm University, Karolinska University Hospital and SAS Institute AB.
The proposal has already passed the first step in the application process and was invited to submit a full proposal in the second step. The acceptance rate for step one was roughly 20 percent.

About Hercules

I am a professor working at DSV-Stockholm University, I perform research in natural language processing and information retrieval, the last ten years I have been working on text mining on electronic patient records to build useful tools to improve health. Hercules homepage
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