| Literature DB >> 23921193 |
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