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This tool does not predict payer actions. It highlights statistical variance patterns that may warrant clearer documentation.
Module intelligence
Report Packs v1
Buyer-ready policy, migration, and network report packs with checksummed provenance. Use this page to confirm readiness, cross-state checks, and implementation fit. Readiness: Ready.
These metrics measure statistical consistency, not clinical appropriateness.
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Module: report-packsCross-state readiness check: PassedReadiness: ReadyProduction-ready: Yes
Maturity
Shipped
Readiness
Ready
Cross-state readiness
Passed
Coverage rows
N/A
Module details
This module ID is report-packs, and the data package type is medicaid_report_packs_v1.
The transform version is N/A, generated 3/9/2026, 5:21:58 AM.
The production-ready flag is Yes.
The primary buyers are State Medicaid directors, Managed care leadership.
The roadmap document is docs/prd/medicaid-intelligence-platform.exec.md.
Release file path public/data/medicaid/derived/v1/latest/report_packs/report_packs_manifest_v1.json
Published data path public/data/medicaid/derived/v1/latest/report_packs/policy_did_report_pack_v1.json
Module API route /api/medicaid/intelligence/module/report-packs.json
Data sample
JSON sample (object, items: 9)
Top-level keys: pack_id, generated_at, snapshot_id, data_available, non_predictive_line, dq_tags, source_artifacts, summary, limitations
{
"pack_id": "policy_did_report_pack_v1",
"generated_at": "2026-03-09T09:21:58.573Z",
"snapshot_id": "2026-03-09__083005Z",
"data_available": true,
"non_predictive_line": "Statistical consistency context; not payer prediction, not clinical appropriateness.",
"dq_tags": {
"gate_version": "1.0.0",
"state_source": "npi_map",
"unmapped_state_rate": 0.004945223617682847,
"pass_rows": 4244,
"pass_states": null
},
"source_artifacts": {
"csv_path": "public/data/medicaid/derived/v1/latest/policy_did_effects_v1.csv",
"csv_sha256": "144caf3cf6c9ca1e3e37b472deee9b633fae5ff3cb179c9b2557b0d03fdd4c54",
"manifest_path": "public/data/medicaid/derived/v1/latest/policy_did_effects_v1_manifest.json",
"manifest_sha256": "e9d8dada343394879d01d6d8d429715399faa6e0757b76f70834461bc4349013"
},
"summary": {
"total_events": 225,
"control_adequacy_pass_events": 225,
"top_absolute_paid_shift": "[array(10)]",
"summary_by_state": "[array(12)]"
},
"limitations": [
"Observational DiD from aggregate state-month totals; policy causality is not proven.",
"Cross-state interpretation should honor DQ gate status and control adequacy flags."
]
}
Method and limitations
- This tool does not predict payer actions. It highlights statistical variance patterns that may warrant clearer documentation.
- Statistical consistency context; not payer prediction, not clinical appropriateness.
- Availability and cross-state checks are data-readiness indicators, not clinical or payer outcomes.
- All data samples are aggregate-only and must not be interpreted as provider-level adjudication evidence.
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Page updated: 2026-02-16