The Use of NLP to Improve Phenotype Extraction for Precision Medicine
Linguamatics Webinar: The Use of Natural Language Processing to Improve Phenotype Extraction for Precision Medicine
University of Iowa NLP-Based Phenome Extraction from the EHR
MEDIA ADVISORY
BOSTON – Oct. 15, 2019
WHAT:
Benjamin Darbro, MD, PhD, Associate Professor of Pediatrics, Stead Family Department of Pediatrics at the University of Iowa, and Alyssa Hahn, doctoral student in the Interdisciplinary Graduate Program in Genetics at the University of Iowa, will present the webinar “The Use of Natural Language Processing to Improve Phenotype Extraction for Precision Medicine.”
TOPIC:
Precision medicine focuses on disease treatment and prevention, taking into account the variability in genes, environment, and lifestyle between individual patients. In order to understand the best treatment pathway for a particular patient or group of patients, it is important to be able to access and analyze detailed information from the medical records of patients, and ideally broader aspects beyond their medical history.
Clinical genomic testing (e.g. chromosome microarray, gene panel testing, exome/genome sequencing) is performed on thousands of patients annually and relies heavily on manual chart review by a healthcare professional to identify the patient’s clinical phenotype. Natural language processing (NLP) is being used to obtain high-quality comprehensive phenotype information from the electronic medical record for patients who have undergone clinical genomic testing. An on-going project at the University of Iowa has the potential to aid in the interpretation of genetic test results, and to directly improve the diagnosis and clinical care of patients seen at the University of Iowa Stead Family Children’s Hospital.
In this webinar, Dr. Benjamin Darbro and Alyssa Hahn will discuss how their organization is using NLP to transform unstructured source data into clinical and research decision support insights. They will review:
- How NLP has reduced time-consuming and exhaustive manual chart reviews to extract phenotypic characteristics
- The process of exporting critical clinical data from the EHR
- Best training practices for the evaluation of NLP results to achieve high levels of accuracy
INTERVIEW OPPORTUNITY:
Benjamin Darbro, MD, Phd. Click here for D. Darbro’s photo.
Alyssa Hahn. Click here for Alyssa Hahn’s photo.
Post-event interviews can be arranged.
TIME AND PLACE:
Thursday, October 24, 2019 11:00 am E.D.T., online
REGISTER:
To register for the webinar, click here.
Linguamatics, an IQVIA company, transforms unstructured big data into big insights to advance human health and wellbeing. A world leader in deploying innovative natural language processing (NLP)-based text mining for high-value knowledge discovery and decision support, Linguamatics’ solutions are used by top commercial, academic and government organizations, including 18 of the top 20 global pharmaceutical companies, the US Food and Drug Administration (FDA) and leading US healthcare organizations. Linguamatics I2E is used to mine a wide variety of text resources, such as scientific literature, patents, Electronic Health Records (EHRs), clinical trials data, news feeds, social media and proprietary content. I2E can be deployed as an in-house enterprise system, or as Software-as-a-Service (SaaS) on the cloud.
