15 April 2005 Automated generation of individually customized visualizations of diagnosis-specific medical information using novel techniques of information extraction
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Abstract
Managing pediatric patients with neurogenic bladder (NGB) involves regular laboratory, imaging, and physiologic testing. Using input from domain experts and current literature, we identified specific data points from these tests to develop the concept of an electronic disease vector for NGB. An information extraction engine was used to extract the desired data elements from free-text and semi-structured documents retrieved from the patient’s medical record. Finally, a Java-based presentation engine created graphical visualizations of the extracted data. After precision, recall, and timing evaluation, we conclude that these tools may enable clinically useful, automatically generated, and diagnosis-specific visualizations of patient data, potentially improving compliance and ultimately, outcomes.
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Andrew A. Chen, Frank Meng, Craig A. Morioka, Bernard M. Churchill, Hooshang Kangarloo, "Automated generation of individually customized visualizations of diagnosis-specific medical information using novel techniques of information extraction", Proc. SPIE 5748, Medical Imaging 2005: PACS and Imaging Informatics, (15 April 2005); doi: 10.1117/12.596149; https://doi.org/10.1117/12.596149
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