Corpus Intelligence Methodology 2026-04-25 23:27 UTC
Methodology
Research library, model documentation & methodology references
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Reference documentation for the metrics, formulas, and data sources used across the platform.

Valuation Models

DCF Model

Financial Model
5-year discounted cash flow with WACC sensitivity matrix

Projects free cash flow using deal profile inputs. Builds a WACC x terminal growth sensitivity table. Requires: net_revenue, ebitda_margin, capex_pct, working_capital_change.

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LBO Model

Financial Model
Sources & uses, debt schedule, returns waterfall

Full leveraged buyout model with senior + mezzanine debt, annual P&L projection, mandatory/optional repayment schedule, and equity returns at multiple exit timings.

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3-Statement Model

Financial Model
Income statement, balance sheet, cash flow reconstructed from HCRIS

Reconstructs full financial statements from HCRIS cost report data and deal profile. Every line item tagged with source provenance (HCRIS, deal_profile, benchmark, computed).

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EBITDA Bridge

Analysis
7-lever RCM improvement bridge from current to target EBITDA

Models denial reduction, AR acceleration, coding uplift, payer mix optimization, cost-to-collect reduction, clean claim improvement, and volume/rate growth. Each lever has a probability-weighted impact.

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Market Intelligence

Market Analysis

Market
HHI concentration, competitive landscape, Mauboussin moat assessment

Analyzes the regional market using HCRIS peer data. Computes HHI, market share rank, top-3 concentration, scale advantage, switching costs, and network density. Moat scored 0-10 (wide/narrow/none).

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State Heatmap

Market
National view of hospital margins, concentration, and payer mix

Aggregates HCRIS data by state with color-coded heatmap on selectable metrics (margin, HHI, Medicare %, bed count). Includes OLS regression showing which state-level factors predict hospital margins.

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Hospital Screener

Screener
Filter 6,000+ hospitals by any combination of financial/operational metrics

5 predefined screens (value, turnaround, large cap, small cap, margin expansion) plus custom filter builder. Returns ranked results with SeekingChartis Score for each match.

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Denial Driver Analysis

Operational
Decompose denial rates into root causes with dollar-sized impacts

Identifies top denial drivers (prior auth, coding errors, timely filing, medical necessity, eligibility) with estimated annual dollar impact. Includes expert recommendation database per driver category.

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Quantitative Tools

Monte Carlo Simulation

Quantitative
100K+ simulations projecting EBITDA outcomes with confidence intervals

Two-source MC: (1) kernel density from calibrated priors, (2) Ridge predictor with conformal prediction intervals. Returns P10/P50/P90 outcomes, probability of downside, and VaR.

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OLS Regression

Quantitative
Multi-variable regression on any hospital dataset with full diagnostics

Ordinary least squares with t-statistics, p-values, significance flags, correlation matrix, and top correlated pairs. Numpy-only implementation (no sklearn). Can target any metric against any feature set.

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Pressure Test

Risk
Stress scenarios with severity-ranked risk flags

Applies payer rate shocks, volume declines, and regulatory changes to test deal resilience. Generates risk flags with severity scoring and auto-generated diligence questions.

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Scenario Builder

Quantitative
Apply named shock scenarios to any deal

Preset scenarios: Commercial IDR +20%, Medicare RAC Storm, Labor Crisis, Volume Drop, Payer Mix Shift. Each scenario defines metric overrides that flow through the full analysis pipeline.

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Data Sources

HCRIS (CMS Hospital Cost Reports)

Data Source
17,974 hospitals, annual financial data from Medicare cost reports

The primary data source: CMS Hospital Cost Report Information System. Includes revenue, expenses, bed count, payer days, and geographic data for every Medicare-certified hospital. Updated annually with ~1 year lag.

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FRED (Federal Reserve Economic Data)

Data Source
Treasury yields, CPI, healthcare spending macro indicators

Used for market pulse indicators: 10-year Treasury yield (DGS10), healthcare CPI, national health expenditure estimates. API key optional (falls back to static benchmarks).

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SeekingChartis Score

Composite
Composite 0-100 rating: market (35%) + financial (25%) + operational (20%) + moat (20%)

Every hospital gets a SeekingChartis Score computed from HCRIS data. Market position (beds, revenue scale), financial health (margin), operational quality (denial rate, AR days), and competitive moat (HHI, switching costs). Grade scale: A+ to F.

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Benchmarks & Methodology

RCM Benchmarks

Reference
Industry-standard KPI targets for revenue cycle management

Denial Rate: <8% (excellent), 8-12% (good), >15% (concerning). Days in AR: <42 (excellent), 42-48 (good), >55 (slow). Clean Claim Rate: >95% (excellent), 90-95% (good). Net Collection Rate: >96% (strong). Cost to Collect: <4% (efficient).

Hospital Valuation Guide

Reference
PE transaction multiples, WACC assumptions, terminal growth rates

Current hospital EV/EBITDA: 9-12x (mid-market), 11-14x (large platform). WACC range: 8-12% depending on leverage and size. Terminal growth: 2.0-3.0% (Medicare reimbursement growth proxy). Minority discount: 15-25%.

Mauboussin Moat Framework

Reference
Competitive advantage assessment adapted for healthcare

Based on 'Measuring the Moat' (Mauboussin, 2002). Healthcare adaptation: Scale advantage (bed count vs market avg), switching costs (>200 beds = high), network density, margin premium vs peers. Moat rating: wide (8+), narrow (5-7), none (<5).

Data Explorer

Browse all 6 public data sources

Healthcare Verticals

ASC, Behavioral Health, MSO bridges

Methodology

How every number is calculated