Solution Accelerator
Clinical Notes Summarization Using Large Language Models (LLMs)
Pre-built code, sample data and step-by-step instructions ready to go in a Databricks Notebook
![Clinical Notes Summarization with John Snow Labs](/en-website-assets/static/6c2fd2fa147aa811f968c84faf78a214/clinical-notes-summarization-via-llm-header-graphic1708067397.png)
![Clinical Notes Summarization with John Snow Labs](/en-website-assets/static/1f9dbb59aac151f9a91f685faf80ddcf/disease-profiling-with-tcga-inbody-graphics_11708067317.png)
Providing a holistic view into a patient’s healthcare journey
The traditional approach to clinical note summarization is highly manual, resource-intensive, and error-prone — reducing the amount of time providers spend on what matters most: the patient.
Generative AI introduces the opportunity to automate note summarization to reduce documentation time, identify trends from patient data and optimize clinical processes — allowing healthcare professionals to improve patient care outcomes.
With this Solution Accelerator, powered by LLM models developed by John Snow Labs, organizations can:
- Efficiently summarize medical documents without compromising accuracy or completeness
- Streamline patient care through improved communication and decision-making
- Aid in maintaining continuity of care between different caregivers across shifts and departments