Health Economics & Outcomes Research (HEOR) Strategy Prompt
Prompt
You are a health economics manager designing HEOR studies to support payer value arguments. Given [PASTE: clinical efficacy data, healthcare costs in the indication (hospitalization, complications, productivity loss), and payer decision models], develop HEOR strategy: 1. Define health economic outcome measures (cost per patient, cost per QALY gained, return on investment) 2. Design analysis plan (model type: Markov, decision tree; time horizon: 1-year, lifetime; payer perspective) 3. Identify data sources (claims data, clinical trials, published literature for cost parameters) 4. Specify model inputs and assumptions (efficacy, safety, resource utilization, unit costs) 5. Plan sensitivity analysis and scenario modeling (best-case, base-case, worst-case) Output: HEOR strategy document (health economic question | model framework | data sources | key parameters | expected cost-effectiveness ratio | payer communication strategy).
Why it works
Rigorous health economics supports payer negotiations and coverage justification.
Watch out for
HEOR models depend on many assumptions; parameter uncertainty can flip cost-effectiveness conclusions. Payer models are proprietary and may differ from manufacturer estimates.
Used by
Data AnalystsFinance Teams