RWE Agent

by Deloitte  · Based in United Kingdom →A conversational AI that compresses the path from research question to evidence from months to minutes.
Cardiology Internal Medicine Oncology

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

Evidence Base
RWE Agent is designed to analyze Real-World Data (RWD) and generate Real-World Evidence (RWE). It works directly with data in its native format, eliminating the need for ETL processes. The system can process complex inclusion and exclusion criteria across various clinical domains, including temporality. It also offers intelligent suggestions based on prior RWE analyses conducted within the organization.
Clinical Validation Studies
While the RWE Agent focuses on generating insights from RWD, the broader context of RWE in biopharma indicates its increasing role in regulatory decision-making, market access, reimbursement, and clinical development. Regulatory agencies like the FDA and EMA are expanding their efforts to advance RWE use in submissions. The tool incorporates a 'human in the loop' at key stages, allowing users to review and refine important details like agent-selected medical codes and generated SQL queries, which enhances transparency and builds confidence in accuracy.
Alert Fatigue Management
The concept of 'agent fatigue' is acknowledged in the context of AI agents, where a flood of AI-driven actions still requires human oversight. Effective management strategies include building clear workflows for reviewing AI-driven decisions and establishing well-defined thresholds for human intervention.
Override Rate Data
The RWE Agent incorporates a 'human in the loop' at key stages, providing users with fine-grained control to review and refine agent-selected medical codes and generated SQL queries. This suggests that human oversight and the ability to override automated suggestions are integral to the system's design.
Drug Interaction Checking
The information provided does not specifically detail drug interaction checking capabilities within the RWE Agent. However, RWE itself is used to monitor patient safety and adverse events, and to understand real-world treatment patterns where patients may have comorbidities and be taking multiple medications that could lead to drug-drug interactions.
Differential Diagnosis Support
The RWE Agent is a conversational assistant designed to analyze RWD and generate insights, which can include understanding disease progression and patient segmentation. While not explicitly stated as 'differential diagnosis support' for physicians, the ability to rapidly analyze complex RWD could indirectly aid in understanding disease characteristics relevant to diagnosis.
Guideline Update Frequency
The RWE Agent is designed for continuous learning, offering intelligent suggestions based on prior RWE analyses. The broader RWE landscape sees major regulatory agencies stepping up efforts to advance RWE use and release guidelines, indicating an evolving evidence base.
Clinical Workflow Integration
RWE Agent is deployed within clients' AWS environments, allowing seamless integration with existing systems and workflows due to its fully serverless architecture. It works directly with data in its native formats, querying data in place within existing data platforms. Analysis-ready datasets are then surfaced back into those platforms for further analysis with preferred tools.
Decision Audit Trail
The RWE Agent is built with governance and scientific rigor as first principles. Every cohort definition, dataset generation step, and prompt is tracked and auditable, supporting reproducibility and regulatory requirements. Deloitte emphasizes the importance of audit trails for AI agents, capturing agent identity, triggers, tool calls, decision traces, data access events, policy checks, and actions taken.
Physician Tip

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
DeploymentCloud-based (within client's AWS environment)
Compliance
BAA AvailableUnknown AI-estimated
HIPAA CompliantUnknown 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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Videos

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Frequently Asked Questions

RWE Agent is a platform designed to leverage real-world evidence (RWE) to provide insights that can inform clinical decision-making. It analyzes aggregated, de-identified patient data to identify trends, treatment effectiveness, and potential patient cohorts, aiming to support evidence-based care.
RWE Agent prioritizes data privacy by utilizing de-identified and aggregated data sets, ensuring that individual patient information cannot be traced back to its source. The platform adheres to strict data governance protocols and relevant regulatory frameworks such as HIPAA and GDPR to maintain patient confidentiality and data security.
While RWE Agent strives for comprehensive data, potential limitations include data completeness, accuracy, and inherent biases present in real-world data collection. These factors could influence the generalizability of findings, and it's crucial for physicians to consider these limitations when applying the insights to individual patient care.
Several alternatives exist, including other RWE platforms, traditional evidence-based medicine databases, and AI-powered diagnostic tools. RWE Agent differentiates itself by focusing on synthesizing real-world data for practical clinical application, offering a unique perspective compared to solutions primarily based on randomized controlled trials.
Pricing for RWE Agent typically varies based on the scope of usage, the number of users, and the specific modules or features accessed. It often involves a subscription-based model, and practices should inquire directly with RWE Agent for detailed pricing tailored to their specific needs and practice size.
RWE Agent is designed with integration capabilities in mind and can often be integrated with various EHR systems to streamline data flow and enhance usability. The integration process typically involves technical collaboration between your IT team and RWE Agent's support, ensuring secure and efficient data exchange.
RWE Agent typically provides comprehensive training programs, including online tutorials, webinars, and dedicated support staff, to ensure physicians and their teams can effectively utilize the platform. Ongoing technical support and clinical guidance are usually available to address any questions or challenges that may arise.

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Suggest an Edit → | Last Verified: 2026-09-03 | First Added: 2026-09-03
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