CodeRyte featured the capabilities of its natural language processing technology DataScout at the 2008 annual conference of the Radiological Society of North America (RSNA) in Chicago earlier this month.
The Bethesda, Md.-based company said the technology identifies and extracts clinical information from free-text and structured medical records, analyzing data found within physician narratives and converts it into actionable information for critical treatment and business decisions.
DataScout uses context-sensitive data mining and clinical information extraction to enable: dictation pattern analysis for improved reporting; Physician Quality Reporting Initiative (PQRI) analysis; compliance and adherence to clinical policy; decision, referral-pattern and clinical condition analysis; as well as in-depth clinical research.
Additionally, an organization can search for data that is not yet part of any standard lexicon, CodeRyte said. For example, the term “ground-glass opacity” has been used in the context of lung cancer diagnosis but it has not yet been included in SNOMED or ICD-9. By recognizing the term and its variants, DataScout can help improve the identification of such solid lung nodules.
“With DataScout, you can gather the right information every time, while benefiting from our ASP model, which eliminates system performance issues,” CodeRyte said.