Clinicians are drowning in a sea of data from electronic health records; the more sophisticated systems have a zillion structured fields and a growing mound of unstructured data, says Michael Ethan Zalis, M.D., an associate radiologist at Massachusetts General Hospital.
At RSNA 2014, Nov. 30-Dec. 5 in Chicago, Zalis will speak about use of natural language processing technology to help radiologists more easily find the information they need when reading diagnostic imaging exams. Zalis also serves as a co-founder and chief medical officer at QPID Health, a spin-off of NLP technology developed at Massachusetts General.
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