RWE Agent
Overview
RWE Agent, developed by Deloitte and Amazon Web Services (AWS), is a conversational AI designed to assist life sciences teams in analyzing real-world data (RWD) and generating insights. It aims to democratize real-world evidence (RWE) through a multi-agent experience. The tool is deployed directly within a client’s cloud environment, ensuring data remains within their infrastructure while RWE Agent connects to existing platforms and workflow tools. It allows users to ask questions in plain language and receive immediate answers regarding treatment patterns, descriptive statistics, incidence, and prevalence, without needing to wait for data teams. RWE Agent is part of Deloitte’s broader RWE solutions, which also include Digital Asset Explorer (DAE) and HealthPrism™ Linked Data.
Reviewed by Pouyan Golshani, MD — Interventional Radiologist
Key Features
- Conversational AI interface
- Multi-agent architecture for specialized tasks
- Zero-ETL (extract, transform, load) for direct data interaction
- Handles complex inclusion/exclusion criteria
- Generates rapid insights for quick decisions
- Produces analysis-ready datasets for formal studies
- Deploys directly in client's cloud environment
- Connects to existing platforms and workflow tools
- Human-in-the-loop for review and approval of medical codes and cohort logic
- Tracks and audits cohort definitions, dataset generation, and prompts
Use Cases
- Analyzing real-world data for life sciences research
- Generating insights on treatment patterns, descriptive statistics, incidence, and prevalence
- Accelerating the path from research question to evidence
- Supporting R&D, Health Economics and Outcomes Research (HEOR), and medical affairs teams
- Creating analysis-ready datasets for statistical programmers and biostatisticians
- Understanding patient behaviors and segmenting patients for trial matching
What Physicians Need to Know
Physicians should be aware that RWE Agent is primarily a tool for biopharma to analyze real-world data and generate insights, rather than a direct clinical decision support tool for individual patient diagnosis and treatment. However, the insights generated can contribute to a broader understanding of disease patterns, treatment effectiveness, and safety profiles, which may inform future clinical guidelines and practices. The 'human in the loop' feature ensures that medical codes and logic are reviewed, fostering trust in the generated evidence. Physicians should understand that while AI agents can streamline data analysis, human expertise remains crucial for complex decisions and patient interactions.
RWE Agent is designed for seamless integration within a biopharma company's AWS environment, connecting with existing systems and workflows. It leverages foundational models through Amazon Bedrock and orchestrates agent-driven workflows using LangChain. It supports multiple datasets in their native formats and surfaces analysis-ready datasets back into existing platforms.
Details
| Category | Clinical Decision Support & Reference, Drug Discovery & Research |
| Pricing | Unknown — unknown |
| Deployment | Cloud-based (within client's AWS environment) |
| Compliance | |
| BAA Available | Unknown AI-estimated |
| HIPAA Compliant | Unknown AI-estimated |
| FDA Status |
Unknown AI-estimated While RWE is increasingly used in FDA submissions, RWE Agent itself does not have FDA clearance. Its design incorporates governance and scientific rigor to support the reproducibility and auditability required for regulatory work. |
| Integrations | |
| EHR | Not specified |
| Specialties | Cardiology, Internal Medicine, Oncology |
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