AI for Real-World Evidence

Elevating Evidence
Through AI

Transforming Real-World Data into Actionable Insights for Life Sciences.

300M+
Patient lives
40+
Pharma partners
98%
Study on-time

Built for leading life sciences organizations

Platform

A unified evidence platform for modern life sciences

From study design to payer submission, Elevora brings AI, data, and clinical expertise into a single workflow.

Real-World Data at Scale

Full coverage of US claims and EMR data — IQVIA, Optum, Komodo, Truveta, HealthVerity, Datavant, Flatiron, TriNetX, PCORnet, Medicare/Medicaid, and more — across 300M+ patient lives.

AI-Augmented Analytics

AI-assisted literature search and summarization, cohort discovery, predictive modeling, outcomes research, natural language processing of clinical notes, and automated evidence synthesis.

HEOR & Market Access

HCRU, cost-of-illness, comparative effectiveness, budget impact, cost-effectiveness, burden-of-illness, and payer-ready evidence packages — accelerated.

Regulatory Grade

Aligned with FDA RWE guidance — external control arms, fit-for-use RWD assessment, study design and data standards — plus 21 CFR Part 11, HIPAA, GDPR, and SOC 2 Type II. Audit-ready by design.

Researcher analyzing real-world data

Why Elevora

Evidence built for the questions that matter

We pair PhD-level scientific rigor with proprietary AI to deliver evidence that holds up to scientific, regulatory, and payer scrutiny — at the speed your portfolio demands.

  • Federated access to 300M+ patient lives globally
  • AI cohort builder validated across 12 therapy areas
  • Pre-built study templates accepted by FDA and EMA
  • Dedicated scientific lead on every engagement

Therapeutic depth

Built across the conditions shaping medicine

View all areas
Oncology
Neurology
Rare Disease
Cardiometabolic
Immunology
Cell & Gene Therapy

Service depth

Built for US FDA and US payer evidence needs

Purpose-built RWE, HEOR, and regulatory services aligned with FDA's Real-World Evidence Program and the evidence standards of CMS, ICER, AMCP, and US commercial payers.

FDA & Regulatory

Submission-ready RWE for FDA decision-making

External Control Arms & Hybrid Trials

Fit-for-use RWD assessment, propensity-score matched comparators, and synthetic control arms aligned with FDA's RWE Framework and 2023–2024 final guidances.

Natural History & Disease Registries

Prospective and retrospective natural history studies supporting rare disease, accelerated approval, and post-marketing commitments.

Post-Marketing Safety & PASS/PAES

FDA-mandated post-approval safety studies, REMS assessments, and Sentinel-aligned active surveillance using claims and EHR data.

Regulatory Strategy & Submissions

Type B/C meeting packages, RWE study protocols, data quality and relevance memos, and 21 CFR Part 11 compliant study conduct.

US Payer & Market Access

Evidence that moves US payers and PBMs

Cost-Effectiveness & Budget Impact

US-payer perspective CEA, BIM, and cost-of-illness models built to AMCP Format 4.1 and ICER methodological standards.

AMCP Dossiers & Value Communication

Pre-approval information exchange (PIE) decks, AMCP-format value dossiers, and objective value frameworks for commercial and Medicare payers.

HCRU, Real-World Outcomes & CER

Healthcare resource utilization, total cost of care, treatment patterns, and comparative effectiveness across Medicare, Medicaid, and commercial claims.

IDN, PBM & Medicare/Medicaid Access

Formulary positioning, IRA and Medicare Part D negotiation analytics, 340B and Medicaid best price scenarios, and IDN evidence packages.

Methodology briefs & POVs

Where US policy meets evidence strategy

Short, opinionated briefs from our scientific team on FDA RWE guidance, the Inflation Reduction Act, and ICER value assessments — written for evidence, HEOR, and market access leaders.

Updated regularly

Publications

Peer-reviewed research & conference presentations

Selected work from our scientific team across HEOR, RWE, and AI-driven analytics.

  • Statistics in MedicinePeer-Reviewed Article2026

    Time-Varying Treatment Effect Models in Stepped-Wedge Cluster-Randomized Trials With Multiple Interventions

    Chen Z, Wang W, Lu Y, Halpern SD, Courtright KR, Li F, Harhay MO.

    View
  • Statistics in MedicinePeer-Reviewed Article2024

    A mixed model approach to estimate the survivor average causal effect in cluster-randomized trials

    Wang W, Tong G, Hirani SP, Newman SP, Halpern SD, Small DS, Li F, Harhay MO.

    View
  • Am. J. Respir. Crit. Care Med.Peer-Reviewed Article2022

    Association of ICU Admission and Outcomes in Sepsis and Acute Respiratory Failure

    Anesi GL, Liu VX, Chowdhury M, Small DS, Wang W, et al.

    View
  • TrialsPeer-Reviewed Article2021

    A comparative study of R functions for clustered data analysis

    Wang W, Harhay MO.

    View
  • Annals of Internal MedicinePeer-Reviewed Article2014

    Racial disparities in colon cancer survival: a matched cohort study

    Silber JH, Rosenbaum PR, Ross RN, Niknam BA, Ludwig JM, Wang W, et al.

    View
  • Medical CarePeer-Reviewed Article2023

    Prediction of In-hospital Mortality Among Intensive Care Unit Patients Using Modified Daily Laboratory-based Acute Physiology Score, Version 2

    Kohn R, Weissman GE, Wang W, et al.

    View
  • Statistical Methods in Medical ResearchPeer-Reviewed Article2019

    A review and empirical comparison of causal inference methods for clustered observational data with application to the evaluation of the effectiveness of medical devices

    Cafri G, Wang W, Chan PH, Austin PC.

    View
  • Health Services ResearchPeer-Reviewed Article2016

    Improving Medicare's Hospital Compare Mortality Model

    Silber JH, Satopää VA, Mukherjee N, Rockova V, Wang W, et al.

    View

Open Data

Public US healthcare datasets we work with

Authoritative, publicly available data from CDC, CMS, AHRQ, NIH, and FDA — ready to complement proprietary RWD for surveillance, burden-of-illness, and policy research.

Industry Pulse

Top pharma news, updated daily

FDA approvals, CDC alerts, and WHO global health updates — sourced directly from official feeds.

Refreshed every 24h

AI × Real-World Evidence

AI in real-world evidence, today

The latest on how artificial intelligence is transforming RWE generation, RWD analytics, and evidence-based decision-making across healthcare.

Curated daily

Ready to elevate your evidence strategy?

Talk to our scientific team about your next study, submission, or launch.