Generating SOAP Notes with AI: Enhancing Clinical Documentation Efficiency

Clinical documentation is essential for patient care but remains a major administrative burden for healthcare providers. This session explores how AI‑driven automation can generate structured SOAP (Subjective, Objective, Assessment, and Plan) notes from unstructured​inputs such as physician dictation and ambient patient‑doctor conversations. The solution architecture is based on an AWS infrastructure backbone to provide for scalability and compliance, with a John Snow Labs Medical LLM to generate results more accurately than general‑purpose LLMs.

About the speaker

Beau Tse

Beau Tse

Partner Solutions Architect at Amazon Web Services

Beau is a Partner Solutions Architect at AWS from Santa Clara, CA. He has a background in Management Information Systems, and is looking to specialize in AI and ML. He focuses on supporting AWS Partners through their partner journey and is passionate about enabling them on AWS.

Shubanshu Dixit

Shubanshu Dixit

Solutions Architect at John Snow Labs

Shubhanshu is a solution architect at John Snow Labs. His background is in technical sales and focuses on ML and AI implementations. He specializes in designing and deploying of AI-ML solutions in medical spaces.

NLP-Summit

When

Sessions: April 2nd – 3rd 2024
Trainings: April 15th – 19th 2024

Contact

nlpsummit@johnsnowlabs.com

Presented by

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