Intensive Care Information retrieval system from our friends down under showing the value of Natural Language Processing to get into the detail of clinical notes, understanding the underlying content. The demo shows the ability to get to information even when there have been typographical errors or use of abbreviations that either have multiple meanings or are not approved/recommended for use.
This technology is now being applied at the point fo clinical data capture ot correct these errors and others and clarify the clinical documentation prior to commitment to the clinical database and Electronic Health Record
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