Webinar: Top 5 ways Providers are Using NLP to Improve Healthcare Safety and Quality

March 26, 2020
Venue: Online Webinar

When: Thursday 26th March 2020

Time: 11:00am EDT; 8:00am PDT; 3:00pm BST; 4:00pm CEST.

Duration: 60 minutes.

ACCESS RECORDING

As healthcare evolves towards value-based care many healthcare organizations are realizing the value of unstructured data as it relates to patient quality and safety. Many important contributing factors on why patients are improving or worsening are often hidden away in text and require NLP to help extract them. Better patient outcomes are reliant on the combination of unstructured data with the structured to give a true 360-degree view of the patient. This is especially important when considering Social Determinants of Health such as social isolation and food insecurity that may be captured in nurse notes and can help identify high risk patients. Another area patient risks can be identified is incidental findings in various clinical tests such as radiology reports that could indicate early signs of cancer.

Another key area of interest in patient safety is improving clinical documentation by identifying missing diagnoses for chronic diseases such as congestive heart failure, aortic stenosis and chronic obstructive pulmonary disorder. By identifying these clinical details in unstructured notes using NLP, patient lives can be improved and millions can be saved with early detection.

Early detection of issues around drugs such as identifying new or known side effects, and earlier identification of drug resistant bacteria is an additional way NLP can help extract and normalize information. These messages are often in HL7 format and require sophisticated approaches to manage the formatting issues with these tables of results from the lab.

Presenters:

Liz Marshall, MD, Director Clinical Analytics, Linguamatics

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.

Simon Beaulah, Director Healthcare, Linguamatics

Simon is responsible for Linguamatics’ healthcare products and solutions including applications in the areas of clinical risk models, population health, and medical research. Previously, Simon was Marketing Director, Translational Medicine at IDBS/InforSense where he was responsible for the company’s market analysis, product marketing and Go To Market strategy in healthcare analytics and translational medicine. Prior to IDBS, he was Director of Product Management at BioWisdom, where he was responsible for delivery of customer projects using the company’s ontology products. He also worked as a senior product manager at LION Bioscience and Synomics, and as a software developer at the UK’s Biotechnology and Biological Sciences Research Council. Simon has degrees from Aston University and Cranfield Institute of Technology.

Kathleen Nogueira, Healthcare Application Specialist, Linguamatics

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.