When:
Time: 10:00am PDT, 1:00pm EDT, 6:00pm BST, 7:00pm CEST
Duration: 60 minutes
In Healthcare, Natural Language Processing (NLP) is no longer a “nice to have” but a “need to have”. With ever increasing volumes of data trapped in unstructured sources such as pathology reports, radiology reports and discharge summaries, rapid effective access to the knowledge buried in such documents is essential to both do no harm and maximize patient benefits.
From population health to precision medicine, NLP is a key tool for turning messy unstructured data into high value content for clinical decision support. This webinar will demonstrate the importance of Natural Language Processing (AI-NLP) and key areas where it can add benefit in healthcare.
What will you learn?
During the webinar we will review how NLP can reduce manual effort and provide support across multiple areas in Healthcare including:
- Identifying health inequities: Social Determinants of Health
- Uncovering true disease burden: Driving population health initiatives
- Computational Phenotyping in rare disease and oncology
- NLP driven feature generation for machine learning
Who should attend?
Data Scientists, informaticians, clinical analysts, clinicians, innovation officers, quality managers
Calum Yacoubian
Director NLP Healthcare StrategyCalum Yacoubian
Dr. Calum Yacoubian is Director of Healthcare Product & Strategy at Linguamatics, IQVIA. He is a medical doctor who trained and practiced in the UK before moving into medical technology. He has worked with Natural Language Processing in clinical data for over 5 years and is passionate about the potential for data to drive improved patient outcomes.
Kathleen Nogueira
Senior Healthcare Application SpecialistKathleen Nogueira
Kathleen (Kathy) Nogueira joined Linguamatics in early 2017 after spending many years using only structured data in her prior healthcare quality, population health and analytics positions. She spent many years in a hospital Care Management department as a Data Manager, setting up systems to collect data for all regulatory requirements for quality, risk management, infection control and numerous other departments.
Kathy was also a software developer and has worked on Radiology and Lab information systems as well as HL7 interfaces. She holds a Bachelor’s degree in Biomedical Computing from Rochester Institute of Technology, and a Master’s degree in Healthcare Administration. In her spare time, she dabbles in arts & crafts.
