Entity Value (CEA)
Comprehensive CEA for healthcare intervention/technology value assessment - ICER, Budget Impact, PSA included
Problem Statement
When deciding whether to adopt new drugs, medical devices, or treatment protocols, quantitative cost-effectiveness evaluation is essential. A complete CEA package including QALY, ICER, budget impact, and uncertainty analysis is required, not just simple cost savings.
Common Decisions
- Prioritizing new drug/device adoption
- Preparing economic evaluation for reimbursement application
- Cost-effectiveness analysis of treatment protocol changes
- Optimal portfolio selection under budget constraints
- Value demonstration to insurers/government (Value Dossier)
Required Inputs
* Minimal internal data possible
- 1Intervention/technology cost data (unit price, frequency)
- 2Clinical effectiveness data (RCT, RWE, meta-analysis)
- 3Existing standard treatment (Comparator) information
- 4Target patient population size and characteristics
- 5Payer perspective (hospital, insurer, government)
- 6Analysis parameters (discount rate, time horizon, etc.)
Output Spec
Decision Packet Components
CEA (Cost-Effectiveness Analysis)
Cost-benefit analysis - ICER, CE plane, ranking
BIA (Budget Impact Analysis)
Budget impact - annual fiscal requirements and cumulative impact
Uncertainty (PSA)
Probabilistic sensitivity analysis - CEAC, confidence intervals, scenario analysis
Audit (Decision Log)
Decision tracking - assumptions, data sources, model structure
Typical Timeline
Diagnostic Phase
Literature review, data acquisition, model structure design, comparator definition
Analysis Phase
CEA model building, scenario analysis, PSA execution, results compilation and report writing
Security & Deployment
- Sensitive clinical data separation and anonymization
- Analysis result versioning and history tracking
- Documentation ready for academic/regulatory submission
- NDA-based external disclosure scope management
Package
Decision Brief
Executive summary (1-2p) for decision-makers
CEA Report
Complete CEA analysis - ICER, BIA, PSA, sensitivity included
Audit Pack
Assumptions, model structure, data sources - for academic/regulatory submission