metadata
language:
- en
license: mit
pretty_name: Pharma Reimbursement Path Optimization Forecasting v0.1
dataset_name: pharma-reimbursement-path-optimization-forecasting-v0.1
tags:
- clarusc64
- pharma
- market-access
- payer
- HTA
- RWE
task_categories:
- tabular-classification
- tabular-regression
size_categories:
- n<1K
configs:
- config_name: default
data_files:
- split: train
path: data/train.csv
- split: test
path: data/test.csv
What this dataset tests
Whether a system can forecast a robust reimbursement pathway
from payer pressure, evidence constraints, and pricing limits.
Required outputs
- optimal_endpoint_mix
- RWE_generation_plan
- pricing_stability_zone
- access_probability
- restriction_burden_forecast
- coverage_stability_horizon
- confidence_score
Use case
Phase III design for reimbursement success.
RWE planning that closes payer gaps.
Pricing posture and restriction forecasting.