HEOR Solutions Designed for Modern Evidence Generation
HEOR teams face growing pressure to evaluate ever-expanding bodies of evidence with greater speed, transparency, and methodological rigor—while supporting downstream models, value narratives, payer interactions, and Health Technology Assessment (HTA) submissions. Traditional evidence synthesis cannot keep pace with rising evidence expectations, evolving methodologies, and compressed timelines.
Insight for HEOR
MadeAi™ transforms how HEOR teams discover, synthesize, and operationalize evidence. Built as a truly AI-native platform, MadeAi accelerates every step of the literature review process—protocol creation, screening, data extraction, quality appraisal, complex summarization, and structured reporting—while preserving the rigor and defensibility HEOR demands.
With MadeAi, HEOR professionals move from manual evidence gathering to strategic interpretation, ensuring they deliver faster insights, more consistent analyses, and stronger evidence foundations for models and payer communications.
How We Work With HEOR Clients
MadeAi partners with HEOR teams across pharma and biotech to modernize and accelerate evidence workflows, including:
- HTA dossier development for global and regional requirements (e.g., JCA, GVD, NICE, CADTH, ICER)
- Cost-effectiveness analyses (CEA) evaluating costs relative to health outcomes
- Budget impact models (BIM) assessing the financial impact of product adoption
- Burden of disease analyses capturing clinical, economic, and humanistic impact
- Evidence gap analyses identifying missing data that may affect HTA and modeling
- Validated evidence summaries supporting CEA and BIM inputs
MadeAi works closely with HEOR experts to ensure AI outputs are transparent, traceable, and aligned with formal evidence standards—with human experts always in control.
Breakdown of Benefits
Accelerate Time to Insight
Cut screening, extraction, and reporting time by up-to 60%, enabling the HEOR team to support more studies, more submissions, and more payer deliverables without increasing headcount.
Strengthen Rigor and Consistency
Standardized protocols, guided methodologies, and transparent decision logs ensure reproducible evidence synthesis suitable for HTA and internal governance.
Improve Quality of Economic Inputs
MadeAi’s structured extraction and ARM-level capture of effect sizes, utilities, resource use, safety, and QoL variables feeds economic models with cleaner, more complete data.
Scale Evidence Generation Without Bottlenecks
HEOR teams frequently juggle treatment landscape reviews, BOI studies, safety analyses, and model-input searches simultaneously. MadeAi’s AI-driven workflows allow teams to run multiple reviews in parallel.
Enhance Collaboration Across HEOR, MA, Market Access, and RWE
Shared workspaces, consistent tagging schemas, and version-controlled outputs reduce duplication and ensure a unified evidence story across departments.
Submission-Ready Outputs
Generate structured PRISMA documentation, evidence tables, summaries of findings, and export packages aligned to HTA standards.
What Our Clients Are Saying
Transform the way your HEOR team discovers and synthesizes evidence
We’ll walk you through how MadeAi accelerates HEOR workflows, strengthens methodological rigor, and supports the full evidence ecosystem from early value assessment to HTA submission.
Who It’s For
- HEOR & Market Access Teams:
Deliver high-quality dossiers across global markets - Regulatory & Compliance Teams:
Ensure traceability and alignment with agency requirements - Medical Affairs:
Communicate differentiated clinical value clearly and efficiently - Launch Teams:
Scale dossier creation across multiple product launches
Contact Info
Talk to our MadeAi experts to see how AI-native evidence workflows can accelerate your HEOR analyses.