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Version: 3.0

Whispers

Dimensional aggregations computed after rate selection and joined onto each ROID row. Whispers add summary context without affecting canonical rate selection itself.

Why Whispers

A raw ROID row tells you "Aetna PPO pays $18,500 for knee replacement at Mass General." A whisper adds: "The national median for knee replacement is $12,400, and Mass General's average rate across all payers is $19,200." This context enables customers to interpret a single rate in relation to the broader landscape — without requiring them to run aggregation queries themselves.

Whispers are computed after canonical selection and joined onto tmp_int_combined_no_whisp to produce tmp_int_combined. They have no circular dependencies on canonical rates.

8 Whisper Dimensions

WhisperPartitionKey StatsReference Data Joined
Providerprovider_idRate aggregates, coverage countsHospital scorecards, NASHP cost reports, CareJourney quality/cost scores
Payerpayer_idMedian rate, provider countPayer-level reference
Networknetwork_idMedian rate, provider countNetwork metadata
Codebilling_code, bill_typeNational average rate, estimated national revenueKomodo utilization (encounter counts)
Provider-Payerprovider_id, payer_idCodes this payer covers at this provider
Provider-Codeprovider_id, billing_codeProvider's rate for this code across all payers
Payer-Codepayer_id, billing_codePayer's rate distribution for this code
Provider-Payer-Networkprovider_id, payer_id, network_idMost granular multi-dimensional stats

Provider Whisper — Reference Data Detail

The provider whisper joins several external reference datasets:

  • Hospital Scorecard: composite score, cash price score, list price score, v2 scoring methodology
  • NASHP Cost Report: net profit margin, commercial breakeven rate, payer mix, drug charge ratios
  • CareJourney Scores: physician counts, quality scores, cost efficiency scores per hospital

Code Whisper — Utilization

The code whisper joins Komodo national_commercial_code_taxonomy_encounters to add national utilization context:

  • How many commercial claims exist for this code nationally
  • Estimated national revenue = code_national_avg_canonical_rate × code_national_avg_number_of_claims

This estimated revenue field is used by customers and internal tools to prioritize which codes matter most at the national level.