Improving Patient Care with Large-Scale Data Engineering and Machine Learning

Discover in this 17-minute lightning talk from AWS re:Invent 2024 how to tackle the challenge of processing unstructured healthcare data, which comprises over 80% of all medical information. Learn to implement a comprehensive solution combining Amazon Bedrock, Amazon Textract, and other AWS native services for efficient medical document processing and clinical decision support. Explore techniques for large-scale data engineering, document extraction using large language models, and ML model training that incorporates clinical expert knowledge. Master the process of transforming unstructured medical documents into structured data models while evaluating machine learning model performance for improved patient care outcomes.