Precision medicine and data
Prenosis Sepsis ImmunoScore
FDA De Novo-authorized AI/ML software that assigns adult emergency department or hospital patients to sepsis risk categories within a clinician-reviewed workflow.
Last updated: June 5, 2026
Back to directoryAetion Evidence Platform medical AI product profile
Modular real-world evidence platform for turning real-world data into transparent, reproducible, decision-grade evidence.
Precision medicine and data
Best fit
Evidence teams that need guardrailed, auditable RWE workflows across claims, EHR, registry, or other longitudinal datasets.
- Primary use case
- Real-world evidence generation, data preparation, cohort definition, causal analytics, regulatory-grade study workflows, and AI-assisted variable or subgroup work
- Audience
- Life sciences evidence teams, HEOR, safety, epidemiology, payers, regulators, and real-world data researchers
- Risk level
- High
- Pricing signal
- Enterprise real-world evidence platform and services pricing; request current product, data, and deployment terms.
- Official sources
- 4 official sources
Compare within workflow: Precision medicine and data · comparison shortlist · source index
Regulatory, privacy, evidence, and workflow lens
Product-specific review. These product-specific signals summarize what the cited sources imply before treating Aetion Evidence Platform as safe for a local clinical, operational, or research workflow.
| Regulatory / FDA | Treat as evidence-generation infrastructure; regulatory, payer, safety, or HTA use needs protocol, data, methods, versioning, and review controls matched to the decision. |
|---|---|
| Privacy | Review data-source agreements, cloud deployment, de-identification, synthetic data generation, user permissions, audit exports, and whether linked or customer-provided data changes obligations. |
| Evidence | Check study design, cohort logic, outcome definitions, confounding control, sensitivity analyses, reproducibility, and whether AI-assisted steps are transparent enough for review. |
| Workflow | Best used by epidemiology, HEOR, safety, regulatory, and analytics teams with reusable study components and explicit signoff before evidence leaves the research workflow. |
Where Aetion Evidence Platform fits
Aetion describes the Evidence Platform as a modular, data-agnostic RWD-to-RWE engine with validated analytical methods, data ingestion, no-code workflows, guardrails, audit trails, and applications such as Substantiate and Generate.
Not for: Point-of-care clinical decisions, treatment recommendations, or regulatory claims without protocol-specific epidemiology, statistical, privacy, and agency review.
What to verify before using Aetion Evidence Platform
- Which Aetion product is being used: Evidence Platform, Discover, Activate, Substantiate, Generate, Science and Research services, or AetionAI-supported workflows.
- Data-source rights, linkage, cohort definitions, variable logic, missingness, bias controls, and audit trails for the target study.
- How AI-assisted variable, subgroup, synthetic data, or analysis suggestions are validated before inclusion in a study protocol or report.
- Whether the output supports internal strategy, publication, payer engagement, regulatory submission, or safety work, because governance requirements differ.
Source links
Use these links to confirm current claims, terms, regulatory status, pricing, and deployment requirements.
- aetion.com / technology / platform
- aetion.com / products / substantiate
- evidence-hub.aetion.com / real-world-evidence-at-scale-aetion-launches-in-aws-marketplace
- aetion.com / services
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