Lexicon Medicated Entropy Reduction, or LEXIMER, is a patented Natural Language Processing (NLP) engine designed for the medical imaging domain. LEXIMER provides data mining algorithms which extract structure, classifying unstructured radiology report text in real time as well as via batch processing. The resulting structured documentation is currently being utilized in the RadCube for Radiology application for outcomes and data analysis.
How does it work?
Data passes through a number of stages in the LEXIMER process, including: phrase isolation, noise reduction, signal extraction and signal classification. Each stage plays a fundamental role in preparing the data for analysis.
Phrase Isolation: includes scanning the report text and separating the content into phrases
Noise Reduction: decreases the amount of non-clinically relevant information contained within the report
Signal Extraction: pulls out the positive statements and recommendations from the clinically relevant phrases
Signal Classification: organizes the extracted data and presents the information in a structured brief that translates to SNOMED for use in analytical calculations
Through the use of this powerful structuring and classification engine, institutions are better able to analyze and interpret extensive data archives.
Validation Study
Application of Recently Developed Computer Algorithm for Automatic Classification of Unstructured
Radiology Reports: Validation Study
Purpose: To validate the accuracy of Lexicon Mediated Entropy Reduction (LEXIMER), a new information theory-based computer algorithm developed by the authors for independent analysis and classification of unstructured radiology reports based on the presence of clinically important findings (FT, where T represents "true") and recommendations for subsequent action (RT).
Conclusion: LEXIMER is an accurate automated engine for evaluating the percentage positivity of clinically important findings and rates of recommendation for subsequent action in unstructured radiology reports.
