Difference between revisions of "Using NLP to Capture the Provider-Patient Story"

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Electronic Health Record (EHR) adoption has been very slow in the United States due to a number of factors.1  One in particular, which is more idiosyncratic to medicine because of it’s unique culture, is the method of data entry.  Provider’s typically dictate because it is the most efficient, effective and, most importantly, what they are accustomed to doing.
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#REDIRECT [[Natural Language Processing (NLP)]]
 
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One particular component which proponents advocate as one of the main reasons to dictate is retention of the meaning of the Provider-Patient dialogue, also referred to as “the story.”2  Those opposed state that the need and benefits for structured and encoded data far outweigh the inconvenience of data entry other than dictation.3
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Natural Language Processing (NLP)4 has the potential to bridge this gap and satisfy the perspectives and concerns of both the advocates and opposers.  Currently, numerous studies have demonstrated that NLP is able to extract some meaning from dictations either live or retrospectively.  This allows the use of the information captured to be used instantly for Clinical Decision Support (CDS), leading to improved outcomes at the point of care. 
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Although NLP carries much promise, we have not yet obtained the level of accuracy and efficiency needed for general public promotion and deployment.  With further study and development of NLP in conjunction with the rapid pace of development of computing technology (ie quantum computing5) and decreasing costs, we may soon attain the levels of accuracy needed for nationwide deployment.  This may then resolve the issue of the lost “story”, thereby addressing the goals and concerns of all stakeholders.
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1).  “Crossing the Quality Chasm:  A New Health System for the 21st century”  IOM, 2001
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2).  Kalitzkus, Vera PhD, et al “Narrative-Based Medicine:  Potential, Pitfalls, and Practice”  The Permanente Journal/Winter 2009/Vol 13 No 1
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3)  Johnson, Stephen B, et al:  “JAMIA” 2008 15: 54-64
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4).  http://www.bing.com/Dictionary/search?q=define+natural+language+processing&FORM=DTPDIA&qpvt=what+is+natural+language+processing
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5).  http://hplusmagazine.com/articles/bio/spooky-world-quantum-biology
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Submitted by Paul Z. Seville
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[[Category:BMI512-FALL-10]]
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Revision as of 15:29, 13 October 2011