- eBook
Using Language Models For Extracting Insights From Patient’s Medical Records
Chatbots powered by large language models (LLMs) have established a stronghold in healthcare. Yet, decoding unstructured medical terms from patient histories remains a formidable challenge. Discover how our experts crack this puzzle and leverage LLMs to engage healthcare providers with patients’ information.
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Here’s what you’ll find in this research:
- The conversion of hierarchical data structure, such as FHIR, into natural language using ​​Langchain agent framework and Llama-Index.
- Overcoming challenges with interpreting complex healthcare data in JSON and XML formats.
- Methodology for advanced data extraction, embedding, and querying.
- Valuable tools for developing a question-answering and summarization system.
- Strategy to ensure high accuracy rates from rigorous testing and improvements.
- Novel LLMs approach to improve healthcare data access and chatbot efficacy.
