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

نویسندگان

  • Vinay M Pai
  • Mary Rodgers
  • Richard Conroy
  • James Luo
  • Ruixia Zhou
  • Belinda Seto
چکیده

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.

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عنوان ژورنال:
  • Journal of the American Medical Informatics Association : JAMIA

دوره 21 e1  شماره 

صفحات  -

تاریخ انتشار 2014