Towards Enhancing Large Language Models with SNOMED CT for Multi-document Patient Records Summarization
Description
Clinical physicians spend about 40% of their work time for reading and writing patient documentation. We will employ NLP, SNOMED CT, and Large Language Models (LLM) to generate concise, accurate, and interoperable summaries of patients’ records, thus saving time, effort, and resources.
Key Data
Projectlead
Project team
Dr. Jan Bartussek
Project status
ongoing, started 02/2024
Funding partner
ZHAW digital / Digital Futures Fund
