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Nuance Communications unveiled its advancements in natural language processing (NLP) and its medical mobile apps for smartphones at HIMSS10 last week in Atlanta.
Radiologists were twice as likely to recommend additional imaging in diagnostic reports in 2008 than they were in 1995, based on a single-center study in the November issue of Radiology.
Biomedical informatics researchers at the Mayo Clinic and IBM have launched the Open Health Natural Language Processing (NLP) Consortium, which is establishing the open-source space to promote past and current development efforts, including participation in EMR information extraction.
CHICAGO—Despite continuing technical advances and increased use of CT in clinical practice, the diagnostic yield of CT exams has actually decreased over the past decade, according to research conducted at Massachusetts General Hospital in Boston and presented this week at the 94th scientific assembly and annual meeting of the Radiological Society of North America (RSNA).
Diagnostic radiology generates a lot of data. Although the practice’s
images can be parsed and relevant information can be acquired via the
utilization of DICOM tools, free-text-generated radiology reports have
long languished in silos of unconnected data. A natural language
processing application developed at Massachusetts General
Hospital in Boston holds the promise of allowing researchers the
capability to data mine unstructured radiology reports.
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CodeRyte presented its Web-based software which automates coding process for radiologists, CodeAssist, at the Radiological Society of North America annual conference in Chicago earlier this month.
Although not a replacement for a sophisticated natural language processing (NLP) application, there are simple search and indexing tools that can be used by faculty to identify cases for research and education purposes, according to a presentation at the 2009 Society for Imaging Informatics in Medicine (SIIM) conference this week in Charlotte, N.C.
Language and Computing (L&C) has obtained a U.S. patent for a conceptual world representation of a natural language understanding system and method for uncovering data within EMRs, as well as healthcare documentation to automate medical coding and assist with administrative and clinical decision-making.
Written by Sarah Lamberti
Widespread health IT adoption in the United States is lagging, despite the promise of EMRs to reduce medical errors, improve quality of care, and overall cost of healthcare. While radiology is already reaping the rewards of speech recognition, many feel the technology holds the key for increased EMR utilization as well.
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