An Automated System for Conversion of Clinical Notes into SNOMED Clinical Terminology

The automatic conversion of free text into a medical ontology can allow computational access to important information currently locked within clinical notes and patient reports. This system introduces a new method for automatically identifying medical concepts from the SNOMED Clinical Terminology in free text in near real time. The system presented consists of 3 modules; an Augmented Lexicon, term compositor and negation detector. The Augmented Lexicon indexes the SNOMED-CT terms, the term compositor finds qualification relationships between concepts and the negation detector identifies negative concepts. The system delivers the services through a variety of interfaces including direct programming access and web-based access. It is currently in use in a hospital environment to capture patient data response with SNOMED-CT codes in real time at the point of care. No strict evaluation has been done on the system to date, however preliminary results indicate performance within acceptable ...

• Type: Conference
• Year: 2007
• Where: ACSW
• Authors: Jon Patrick, Yefeng Wang, Peter Budd
• Keywords: ACSW 2007, Augmented Lexicon, Negation Detector, Security Privacy, Term Compositor