Solutions · HEOR

Health Economics & Outcomes Research

Find the studies your model needs, extract parameters with a source trail, report for access conversations, and refresh without rebuilding from scratch.

The challenge

HEOR depends on extractable utilities, costs, effects, and resource use—not narrative abstracts alone. Manual extraction is slow; refreshes often restart the hunt. Inputs need study identity and screening rationale for HTA and internal appendices.

How LRN works here

A workflow your team can defend

  1. 01

    Find studies

    Shortlist candidates for utilities, costs, and effects with visible inclusion rationale.

  2. 02

    Extract model inputs

    Pull probabilities, utilities, ORs, and costs with uncertainty notes and source IDs.

  3. 03

    Analyses & report

    Evidence tables, input dossiers, and value narratives for payer and HTA conversations.

  4. 04

    Refresh & reuse

    Monitor new literature, triage with Explainable AI, and update only what changed.

What you leave with

Traceable inputs

Claim → parameter → study in one trail.

Faster updates

Refresh briefs instead of full rebuilds.

Access-ready language

Reports that cite the extraction base.

Next step

Talk with us about HEOR workflows in LRN.

Request a demo