Deloitte and Amazon Web Services (AWS) developed RWE Agent to help life sciences teams analyze real-world data, generate insights, and democratize evidence through a conversational, multi-agent experience. Deployed directly in your cloud environment, your data stays in your infrastructure while RWE Agent connects to the platforms and workflow tools your teams already use for faster, more accurate analysis.

Through a single conversational interface, it serves two distinct needs:

1. Quick insights
   Ask a question in plain language and get immediate answers: treatment patterns, descriptive statistics, incidence and prevalence, without waiting on data teams. Ideal for internal decisions that need fast, reliable answers.
2. Analysis-ready datasets
   For retrospective studies, RWE Agent builds the complete dataset needed to answer a specific research question, selecting variables, covariates, and derived fields, and applying data quality checks, all through natural language. No data engineering, no SQL. The dataset arrives ready for statistical programmers and biostatisticians to run the analysis.

Generic data catalogs help teams find data. DAE goes further. Built specifically for life sciences, it connects data discovery, study design, approval workflows, and a searchable evidence library in one place, so teams spend less time navigating systems and more timegenerating insights.

1. One-stop marketplace
   A single searchable view of your RWD assets helps teams see what exists, understand quality, and request access through configurable governance workflows, without leaning on technical teams for every search.
2. Cohort library
   A governed repository of standardized, organization-approved cohort definitions helps teams reuse the same study populations across projects, reduce inconsistency, and create a single source of truth with related reports.
3. Evidence library
   A centralized, searchable repository of prior evidence across your organization—including study objectives, reports, publications, cohort definitions, and code links—to helps teams reuse what already exists, reduce duplication, and speed up study startup.
4. Study design and approval workflows
   Submit study concepts for review, route protocols for approval, and manage internal sign-offs through a configurable workflow that adapts to your organization’s process.

Claims data tells you what happened clinically. HealthPrism™ Linked Data tells you why. By linking Komodo Health’s administrative claims—covering 330 million US covered lives—with Deloitte’s proprietary HealthPrism™ dataset at the patient level, we give life sciences teams a richer, more actionable view of patient populations. The result is approximately 130 million US adults with both administrative claims (medical and prescription) and social context, enabling research that standard real world data simply can’t support.

HealthPrism™ Linked Data spans three dimensions:

1. Clinical depth: Medical and pharmacy claims, lab records, diagnosis, treatment, and provider data from Komodo Health’s Healthcare Map—one of the most comprehensive claims datasets available.
2. Social determinants of health (SDoH): Over 1,700 SDoH variables from HealthPrism™—spanning economic stability, neighborhood environment, education, healthcare access, and lifestyle—linked at the patient level using HIPAA-compliant tokenization.
3. Behavioral and demographic context: More than 100 behavioral personas and 150 predictive algorithms capturing lifestyle, purchase behavior, drug preferences, and demographics—enabling population segmentation that goes far beyond what claims data alone can provide.