Case Intake

The manual reporting of medication side effects, usage, and symptoms through various channels like phone calls, emails, and written forms can be a significant challenge for pharmacovigilance case intake processes. Effectively managing these manual intake processes can be time-consuming, and critical information may be missed, especially when patients provide reports through diverse channels.

Our AI-powered Case Intelligence solution addresses these challenges by automating the intake process across multiple channels. It leverages Amazon Textract to extract key entities from raw data, the extracted data is further classified, and summarized using Anthropic Claude Haiku LLM accessed via Amazon Bedrock service, ensuring accurate and comprehensive case management. Leveraging Amazon Transcribe, the solution supports audio transcripts integration, allowing seamless data handling regardless of the source.

To further enhance efficiency, it incorporates Human in the Loop (HITL) functionality, leveraging Amazon Augmented AI (A2I) services hence enabling continuous improvement through expert feedback. Compliance and data security are prioritized with built-in data residency and Personally Identifiable Information (PII) redaction, ensuring your operations adhere to regulatory requirements.

The solution is implemented on secured and scalable AWS Gen AI tech stack following AWS well architected framework.

**Industrial Adoption: The framework is reusable across different industries to enhance document management workflow / operational efficiency. **

Marketing: Extracting names, contact information, preferences from forms including surveys, contest entries, and mailing list sign-ups. Compiling this data into customer profiles for marketing automation purposes

Legal: Extracting key details from legal documents including contracts, agreements, and filings for due diligence and analysis. Summarizing contract terms for tracking and reporting

Financial Services: Extracting key details such as names, addresses, account numbers, etc. from documents including loan applications, account opening forms, and insurance claims.

Travel & Hospitality: Extracting information related to travelers, reservations, and customer feedback to generate comprehensive guest profiles for personalized offerings.