Workshop on using natural language processing applications for enhancing clinical decision making: an executive summary. (6th August 2013)

• Record Type: Journal Article
• Authors: Pai, Vinay M; Rodgers, Mary; Conroy, Richard; Luo, James; Zhou, Ruixia; Seto, Belinda
• Is Part Of: Journal of the American Medical Informatics Association. Volume 21:Number e1(2014:Feb.)
• Page Start: e2
• Page End: e5
• Publication Date: 2013-08-06
• Subjects: clinical decision-making -- natural language processing -- medical reasoning -- medical knowledge base -- unstructured clinical notes -- personalized longitudinal healthcare; Medical informatics -- Periodicals; Information Services -- Periodicals; Medical Informatics -- Periodicals; Médecine -- Informatique -- Périodiques; Informatica; Geneeskunde; Informatique médicale; Computer network resources; Electronic journals; 610.285
• DOI: 10.1136/amiajnl-2013-001896
• Languages: English
• ISSNs: 1067-5027

Abstract

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.