SkillsLib.ai

HEOR Evidence Synthesis & Dossier Builder

Synthesize health economic evidence into payer-ready regulatory dossiers

3.6(5 reviews)
100+ downloads
Updated Sep 2026

What You Can Do

You can rapidly compile, organize, and format disparate health economic evidence—from clinical trials to cost-effectiveness analyses—into structured, regulatory-compliant dossiers. This skill maps your evidence to specific payer and HTA requirements, automatically generates evidence hierarchies, and produces submission-ready dossier outlines with formatting that meets regulatory standards for NICE, EUnetHTA, and other major bodies.

Features

Evidence synthesis framework

Automatically organize and structure clinical, economic, and safety evidence from multiple sources into a coherent hierarchy.

Regulatory compliance mapping

Align evidence to specific payer requirements (NICE, EUnetHTA, PBAC, etc.) and flag gaps before submission.

Health economic model documentation

Structure cost-effectiveness analysis (CEA), cost-utility analysis (CUA), and budget impact analysis (BIA) documentation.

Dossier templating

Generate pre-formatted dossier outlines and section hierarchies matching regulatory submission standards.

Evidence quality assessment

Evaluate the quality and robustness of included evidence using validated hierarchies (GRADE, Cochrane, etc.).

Citation and reference management

Organize and format citations in regulatory-preferred styles; detect missing bibliographic data.

Gap analysis and recommendations

Identify missing evidence, highlight weak links in your economic model, and suggest data collection priorities.

Version tracking and summaries

Maintain dossier versions and auto-generate change summaries for iterative submissions.

Example Output

Example 1: Evidence Organization Table

Evidence TypeSourceQuality (GRADE)Key FindingRegulatory Use
Pivotal RCTSmith et al. 2023High35% mortality reduction vs. placeboPrimary efficacy
Economic ModelInternal CEAModerate€42,500/QALY vs. standard careCost-effectiveness claim
Real-world dataClaims databaseModerate18% hospitalization reductionEffectiveness support

Example 2: NICE-Compliant Dossier Structure

A. Executive Summary | B. Clinical Effectiveness | B.1 Disease background and epidemiology | B.2 Clinical evidence summary | C. Health Economic Model | C.1 Model structure and justification | C.2 Cost-effectiveness results | D. Budget Impact Analysis | E. Discussion

Example 3: Gap Analysis Report

  • ✅ Robust pivotal efficacy data (Phase III RCT, n=450)
  • ⚠️ Limited long-term safety data (max 12-month follow-up)
  • ❌ Missing real-world effectiveness in elderly subgroup
  • 💡 Recommendation: Post-approval registry to address age-specific outcomes

What's Included

  • Evidence synthesis templates: Pre-built frameworks for organizing clinical trials, observational studies, economic analyses, and safety data.
  • Regulatory dossier blueprints: Section-by-section outlines and formatting guides for NICE, EUnetHTA, PBAC, ICER, and other major payer/HTA bodies.
  • Health economic model organizer: Structure for documenting CEA/CUA inputs, assumptions, model architecture, and sensitivity analyses.
  • Compliance checker: Automated review to ensure evidence meets payer-specific requirements (e.g., trial minimum size, clinical thresholds).
  • Evidence quality rubric: GRADE, Cochrane risk-of-bias, and custom scales to rate and categorize evidence strength.
  • Regulatory requirement matrix: Cross-reference table mapping your evidence to NICE, EUnetHTA, and other payer submission criteria.

Who It's For

  • Health economics and outcomes research (HEOR) analysts
  • Regulatory affairs and submissions specialists
  • Medical affairs and reimbursement teams
  • Payer strategy and health technology assessment managers
  • Pharmaceutical and medical device R&D teams preparing submissions

Best For

  • Preparing regulatory dossiers for EMA, NICE, and EUnetHTA submissions
  • Synthesizing clinical and economic evidence into coherent arguments
  • Structuring health economic models (CEA, CUA, BIA) for payer review
  • Organizing evidence hierarchies and gap analysis for reimbursement applications
  • Building rapid health technology assessment (HTA) dossiers

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