Literature DB >> 23921193

Workshop on using natural language processing applications for enhancing clinical decision making: an executive summary.

Vinay M Pai1, Mary Rodgers, Richard Conroy, James Luo, Ruixia Zhou, Belinda Seto.   

Abstract

In April 2012, the National Institutes of Health organized a two-day workshop entitled 'Natural Language Processing: State of the Art, Future Directions and Applications for Enhancing Clinical Decision-Making' (NLP-CDS). This report is a summary of the discussions during the second day of the workshop. Collectively, the workshop presenters and participants emphasized the need for unstructured clinical notes to be included in the decision making workflow and the need for individualized longitudinal data tracking. The workshop also discussed the need to: (1) combine evidence-based literature and patient records with machine-learning and prediction models; (2) provide trusted and reproducible clinical advice; (3) prioritize evidence and test results; and (4) engage healthcare professionals, caregivers, and patients. The overall consensus of the NLP-CDS workshop was that there are promising opportunities for NLP and CDS to deliver cognitive support for healthcare professionals, caregivers, and patients.

Entities:  

Keywords:  clinical decision-making; medical knowledge base; medical reasoning; natural language processing; personalized longitudinal healthcare; unstructured clinical notes

Mesh:

Year:  2013        PMID: 23921193      PMCID: PMC3957396          DOI: 10.1136/amiajnl-2013-001896

Source DB:  PubMed          Journal:  J Am Med Inform Assoc        ISSN: 1067-5027            Impact factor:   4.497


  23 in total

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Journal:  J Am Med Inform Assoc       Date:  2005-01-31       Impact factor: 4.497

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Journal:  Radiology       Date:  2004-12-10       Impact factor: 11.105

3.  A study of lexical behaviour of sentences in chest radiology reports.

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Journal:  AMIA Annu Symp Proc       Date:  2005

4.  Indexing anatomical phrases in neuro-radiology reports to the UMLS 2005AA.

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Journal:  AMIA Annu Symp Proc       Date:  2005

5.  The challenge of measuring quality of care from the electronic health record.

Authors:  Carol P Roth; Yee-Wei Lim; Joshua M Pevnick; Steven M Asch; Elizabeth A McGlynn
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6.  Use of Radcube for extraction of finding trends in a large radiology practice.

Authors:  Pragya A Dang; Mannudeep K Kalra; Michael A Blake; Thomas J Schultz; Markus Stout; Elkan F Halpern; Keith J Dreyer
Journal:  J Digit Imaging       Date:  2008-06-10       Impact factor: 4.056

7.  Informatics in radiology: Render: an online searchable radiology study repository.

Authors:  Pragya A Dang; Mannudeep K Kalra; Thomas J Schultz; Steven A Graham; Keith J Dreyer
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Review 8.  Discerning tumor status from unstructured MRI reports--completeness of information in existing reports and utility of automated natural language processing.

Authors:  Lionel T E Cheng; Jiaping Zheng; Guergana K Savova; Bradley J Erickson
Journal:  J Digit Imaging       Date:  2009-05-30       Impact factor: 4.056

Review 9.  What can natural language processing do for clinical decision support?

Authors:  Dina Demner-Fushman; Wendy W Chapman; Clement J McDonald
Journal:  J Biomed Inform       Date:  2009-08-13       Impact factor: 6.317

10.  Natural language processing using online analytic processing for assessing recommendations in radiology reports.

Authors:  Pragya A Dang; Mannudeep K Kalra; Michael A Blake; Thomas J Schultz; Markus Stout; Paul R Lemay; David J Freshman; Elkan F Halpern; Keith J Dreyer
Journal:  J Am Coll Radiol       Date:  2008-03       Impact factor: 5.532

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Review 2.  Aspiring to Unintended Consequences of Natural Language Processing: A Review of Recent Developments in Clinical and Consumer-Generated Text Processing.

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3.  Development and Validation of a Natural Language Processing Algorithm to Extract Descriptors of Microbial Keratitis From the Electronic Health Record.

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Journal:  Cornea       Date:  2021-12-01       Impact factor: 2.651

4.  Knowledge Visualizations to Inform Decision Making for Improving Food Accessibility and Reducing Obesity Rates in the United States.

Authors:  Raphael D Isokpehi; Matilda O Johnson; Bryanna Campos; Arianna Sanders; Thometta Cozart; Idethia S Harvey
Journal:  Int J Environ Res Public Health       Date:  2020-02-16       Impact factor: 3.390

  4 in total

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