Demos
WATCH THE WEBINAR
Medical terminology servers help different systems speak the same language by providing a versioned, comprehensive, and always-current suite of medical codes. They also help organizations translate across specialized data models by enabling domain experts to manage custom code systems, value sets, and concept maps.
This session presents a fast and flexible terminology server which comes pre-loaded with all widely used medical terminologies, deploys privately behind your firewall, and provides a full API and user interface for advanced concept search, mapping, and normalization. Its standout capability is LLM-powered search which enables:
- Identifying concepts when no exact match is found, useful for anything from correcting spelling mistakes to applying synonyms and hierarchies
- Finding the most relevant concept given a given clinical context, great for finding specific codes for diagnoses, drugs, treatments, or adverse events
- Identifying the semantically closest concept to a search term, great for multi-word terms that can be written in different ways like ICD-10 descriptions or prescriptions
Kate Weber
Senior Data Scientist at John Snow Labs
Kate Weber is a Senior Data Scientist at John Snow Labs who specializes in healthcare natural language processing and data standards. While completing her Ph.D. at the University of Michigan, she built algorithms to detect and classify evidence of substance use disorder in clinical notes, and pioneered approaches to using artifacts in the data annotation process to get the most out of precious labelled resources.
Her background in technical infrastructure and data engineering helps her understand the scope of the challenge facing enterprise health informatics teams. On her own time, she races bicycles and maintains the technical infrastructure for her family’s home-brewing and beekeeping adventures.
