Webinar: Power the delivery of comprehensive care with Clinical Natural Language Processing
When: Tuesday 23 March, 2021
Time: 12:00pm EDT; 9:00am PDT; 4:00pm GMT; 5:00pm CET
Duration: 60 minutes
In healthcare the aim for all providers is to obtain optimum health for patients. Over the past several years, there has been a shift in focus from volume to quality – and as such, there is real focus on holistic and preventative care. This shift has driven the rise in organizations such as Integrated Delivery Networks which seek to manage patients across the continuum of care – from preventative care through to post-acute care – such as physical rehabilitation.
To successfully deliver this holistic care, clinicians need to base their decisions on the best possible view of their patient’s data. As approximately 80% of healthcare data is trapped within unstructured sources (i.e. nurse notes, HL-7 messages, radiology reports, pathology, etc.), rapid effective access to the knowledge buried in such documents is essential to both maximize patient benefits and do no harm. This webinar will offer a demonstration of a multi-mission clinical Natural Language Processing (NLP) platform and advanced clinical analytics. We will also show how clinical NLP, as a key AI technology, can enhance advanced machine learning models. Use cases span from precision medicine, clinical research to clinical operations.
What will you learn?
During the webinar we will review how a flexible, multi-mission clinical NLP platform can provide an enterprise solution that significantly reduces manual effort and time, and provides support across multiple areas in Healthcare including:
- NLP automation at scale
- Population Health initiatives
- Understanding Social Determinants of Health
- Analyzing Clinical Registries – Clinical care/research (i.e. Cancer)
- Improving Patient Safety and Quality (i.e. Radiology report safety nets)
Who should attend?
This webinar will be of interest to senior data, innovation and informatics leaders and stakeholders looking at using data driven approaches to improve patient health and care delivery.
Speakers
Calum Yacoubian
Associate Director NLP Healthcare StrategyCalum Yacoubian
Dr. Calum Yacoubian is Associate 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.
Elizabeth Marshal, MD
Associate Director, Clinical AnalyticsElizabeth Marshal, MD
Dr. Marshall is committed to utilizing technology to promote better health. She is especially interested in utilizing Artificial Intelligence solutions such as Natural Language Processing (NLP) to promote enhanced patient care and medical research. Early in her career, she served in the United States Air Force, where her role in computer operations and logistics was in support of Operation Enduring Freedom, the military’s response to the 9-11 Attacks. After her military career, she became a research physician in the area of mental health and dedicated her time to the development of informatic solutions to improve clinical treatment of Military Veterans. Her work as a Clinical Research Health Scientist at the Veterans Administration in Charleston, SC resulted in substantial gains in the treatment of suicidality and PTSD. She was awarded the 2013 Research Training Institute Scholar Award from the Injury Control Research Center for Suicide Prevention (ICRC-S). Marshall also developed a highly effective e-learning training program for helping clinicians identify and treat suicidal patients, that was requested for federal-wide adoption by the Department of Defense. Marshall has reviewed and abstracted relevant physical and mental information from EHR’s over 1,000 patients and 300 clinicians. Prior to joining Linguamatics, Marshall completed her fellowship training in informatics at the Medical University of South Carolina. There she earned Epic Research Clinical Certification and worked building informatic solutions for healthcare utilizing Linguamatics, Epic, and Telehealth.
Kathleen Noguiera
Senior Healthcare Application SpecialistKathleen Noguiera
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. She 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.
