When: Tuesday, March 5 2019| Time: 9.30am – 2.00pm
Where: University of Illinois, Chicago, Student Center West – Thompson Room, 828 South Wolcott Avenue, Chicago IL
Join Linguamatics at the University of Illinois, Chicago for a complimentary seminar on Tuesday, March 5, 2019. Life Science and Healthcare industry leaders will share their real-life use cases on how NLP technology is improving patient outcomes and unlocking key insights from unstructured text.
Learn about real-life NLP text mining examples including:
- Extracting insights from EHR, patient portals and call center notes for real world evidence data
- NLP and precision medicine; mining for genotype-phenotype associations, and assessing Variants of Unknown Significance
- Text mining for drug safety, bench to bedside. Break down legacy safety silos and extract key insights from ELN, LIMS or Documentum repositories
- Using NLP to generate actionable insights for medical affairs from real world data
- Supporting patient safety net, prior authorization and other real-time NLP applications
- HEDIS quality metrics extraction to reduce manual chart review
- NLP in oncology including tumor characteristics and biomarkers
Learn more about the event by viewing the agenda.
Registration is free, but space is limited and sign up is required.
Event Agenda
Speakers
Alyssa Hahn
Graduate Student, Genetics, University of Iowa
Full bio coming soon!
Abhik Seal
Sr Scientist Data Science, Cheminformatics, AbbVie
Full bio coming soon!
John H. Stewart, IV, MD, MBA
Physician Executive for Oncology Sciences, University of Illinois Health
Simon Beaulah
Senior Director, Healthcare, Linguamatics
Full bio coming soon!
Jane Reed
Director, Life Science Strategy, Linguamatics
Full bio coming soon!
Presentations
Performance of NLP-Based Phenome Extraction from the EMR
Alyssa Hahn, University of Iowa
Democratizing NLP search for researchers through custom portals
Abhik Seal, AbbVie
NLP allocations in Healthcare to improve outcomes, patient safety and efficiency
Simon Beaulah, Linguamatics
NLP to transform documents to decision support across Pharma
Jane Reed, Linguamatics