Workshop on using natural language processing applications for enhancing clinical decision making: an executive summary.
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.
National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health, Bethesda, Maryland, USA.
Vinay M
VM
Pai
Mary
M
Rodgers
Richard
R
Conroy
James
J
Luo
Ruixia
R
Zhou
Belinda
B
Seto
D001185:Artificial Intelligence; D020000:Decision Support Systems, Clinical; D057286:Electronic Health Records; D006801:Humans; D009323:Natural Language Processing
clinical decision-making; medical knowledge base; medical reasoning; natural language processing; personalized longitudinal healthcare; unstructured clinical notes