Use generative AI on AWS for efficient clinical document analysis
Architecture Blog
This article discusses how Clario uses generative AI on AWS to efficiently analyze clinical trial documents, addressing the time-consuming process of document review in clinical research.
- Clinical trial document analysis traditionally takes weeks or months, delaying drug approvals
- Clario developed a custom AI platform on AWS to automate document processing
- The solution uses four key pillars: parsing, retrieval, prompting, and generation
- AWS services like Amazon Textract, Bedrock, and OpenSearch are used to extract and analyze documents
- The platform can process thousands of documents quickly, transforming unstructured data into insights
The solution aims to accelerate clinical trial startup times and improve efficiency in document analysis by leveraging advanced generative AI technologies on the AWS platform.
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