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Context:
{CONTEXT}
Data Inputs:
{DATA_INPUTS}
Constraints:
{CONSTRAINTS}
Evaluation Questions:
1) Prioritization: Which groups/sites should be prioritized for intervention?
2) Capacity: How many clients can be served with given resources?
3) Cost: What is the estimated total cost for serving N people?
4) Clinical: What are the clinical benefits (numeric deltas if available)?
5) Optimization: What are the Top 3 analytics-driven recommendations?
---
### Phase 1: Clarification Questions
(If anything is missing/ambiguous, ask up to 5 concise questions grouped by category: Prioritization, Capacity, Cost, Clinical, Recommendations.
If everything is sufficient, output: "No clarifications required")
---
### Phase 2: Structured Analysis
Return the final analysis in this exact structure:
1. Prioritization
- Groups prioritized: [...]
- Rationale: ...
2. Capacity
- Formula used: ...
- Total screenings/clients: <number>
3. Cost
- Startup per client: <value with currency>
- Ongoing per client: <value with currency>
- Total per client: <value with currency>
- Total for N people: <value with currency>
- Benchmark comparison: ...
4. Clinical Benefits
- Diabetes group: A1c Δ: <value%>, BP Δ: <value mmHg>, Chol Δ: <value unit>, BMI Δ: <value kg/m² if applicable>
- Non-diabetes group: BP Δ: <value mmHg>, BMI Δ: <value kg/m²>, ...
5. Clarity Ops Top 3 Recommendations
1) ...
2) ...
3) ...
Provenance (brief):
- Each field must map to inputs/constraints or derived formulae. Note sources inline.
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