Synthesis
AuraScore 79/100

Multi-Jurisdiction Health Technology Assessment Evidence Synthesis

Synthesize clinical utility, cost-effectiveness metrics, and regulatory feedback across global HTA bodies into a strategic market access evaluation.

Deploy this template when reconciling disparate reimbursement decisions and clinical value assessments across agencies like NICE, CADTH, and G-BA. It enables market access teams to pinpoint evidentiary gaps and build unified value narratives.

Template

Role: Senior Director of Global Market Access & Health Technology Assessment (HTA) Strategy with 18 years of pricing and reimbursement expertise.

Context

  • Health technology under review: {{therapeutic_asset}}
  • Target patient population: {{target_patient_population}}
  • Evaluating assessment bodies: {{hta_agencies}}
  • Regional standard-of-care baselines: {{comparator_standards_of_care}}
  • Economic and cost thresholds: {{budget_impact_parameters}}
  • Observational and supportive data: {{real_world_evidence_data}}

Task

Synthesize divergent HTA body assessments, clinical value critiques, and cost-effectiveness modeling into a comparative market access synthesis analysis that articulates global reimbursement drivers and evidentiary remediation strategies.

Method

  1. Map evaluation outcomes across {{hta_agencies}} to identify consensus clinical ratings versus regional divergence.
  2. Analyze how comparator selection across {{comparator_standards_of_care}} impacted added-benefit determinations in each market.
  3. Synthesize economic appraisal methodologies, evaluating incremental cost-effectiveness ratios against {{budget_impact_parameters}}.
  4. Assess how {{real_world_evidence_data}} was accepted or discounted by each agency to address trial duration limitations.
  5. Isolate key evidentiary vulnerabilities such as surrogate endpoint validity, quality-of-life utility data, or subgroup sizing.
  6. Formulate tailored mitigation actions (e.g., managed entry agreements, confirmatory registries) to overcome agency objections.

Constraints

  • MUST delineate between clinical added-benefit scores and economic cost-effectiveness determinations.
  • MUST NOT generalize HTA decisions across jurisdictions without detailing agency-specific statutory evaluation rules.
  • Specific pricing or rebate estimates must be contextualized within documented national willingness-to-pay thresholds.
  • Use formal health economics terminology (e.g., QALY, ICER, MCDA, surrogate endpoint validation).

Output format

Provide a structured Health Economics & Outcomes Research (HEOR) synthesis containing:

  1. Comparative HTA Scorecard (Markdown table contrasting agency decisions, accepted comparators, and ratings)
  2. Clinical Value & Endpoint Critique (300-400 words detailing surrogate vs hard endpoint acceptance)
  3. Economic Modeling & Budget Impact Synthesis (300-350 words analyzing cost-utility dynamics)
  4. Strategic Value Remediation Roadmap (250-300 words with 4-5 prioritized evidentiary actions)

Self-review

  • Ensure every agency listed in {{hta_agencies}} is explicitly analyzed across clinical and economic dimensions.
  • Check that regional differences in standard of care from {{comparator_standards_of_care}} explain observed score variations.
  • Confirm that recommended evidentiary solutions directly address the specific critiques identified in the synthesis.
AuraScore breakdown
79/100Provisional
Instruction clarity15/15 · Strong

Explicit role, a named task, and discrete steps the model can follow.

Context architecture12/12 · Strong

Background, inputs and variables the model needs before it starts.

Constraint engineering10/12 · Adequate

Hard boundaries — what the model must and must not do.

Output specification6/14 · Thin

A named, field-level shape for the response.

Reasoning structure10/10 · Strong

Ordered work items that force analysis before an answer.

Model compatibility10/10 · Strong

Length and structure that travel across frontier models.

Token efficiency5/10 · Thin

Signal density — instruction weight without padding.

Reusability7/7 · Strong

Documented variables so the scaffold adapts to new inputs.

Robustness3/5 · Adequate

Quality bar, assumptions and behaviour when inputs are thin.

Observed performance1/5 · Thin

How much real usage the template has behind it.

research-analysis
research-synthesis
healthcare-life-sciences
health-economics
market-access
hta