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Become a sponsor to Andrew Rexroad

@rexrodeo

Andrew Rexroad

rexrodeo
Denver, CO

The American Healthcare Conundrum — Data Access Fund

The US overspends $3 trillion per year on healthcare compared to peer nations. This project finds it, one issue at a time.

8 issues published. $428.6B in waste identified so far. All code open-source.

The first $428B came from free federal datasets (CMS cost reports, Part D claims, OECD statistics). Going deeper requires claim-level data that costs money to access. Each sponsorship tier funds a specific dataset. Your money is used only when a dataset's goal is met.

What you get:

  • Named as a data sponsor in every issue your dataset enables
  • Every analysis script published to GitHub (MIT License)
  • Every finding published openly (CMS requires it)
  • Reproducible research anyone can verify

No institutional affiliations. No university overhead. No funder who might find the analysis inconvenient. Just the data and the math.

See the full Data Access Fund breakdown → | Read the newsletter →

1 sponsor has funded rexrodeo’s work.

@SurenNihalani

Featured work

  1. rexrodeo/american-healthcare-conundrum

    Investigative data journalism: quantifying fixable waste in US healthcare, one issue at a time. Open-source analysis of CMS, OECD, and federal datasets. $428.6B in savings identified so far across …

    Python 225

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Select a tier

$ one time

Choose a custom amount.

$1,000 one time

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Fund Hospital Discharge Data (CA + NY)

Fund HCUP State Inpatient Databases for California and New York: every hospital inpatient discharge in the two largest state markets. Enables low-value care identification and DRG upcoding analysis.

✅ Named as a data sponsor in every issue that uses this data
✅ All analysis code published to GitHub (MIT License)
✅ All findings published openly

$1,200 one time

Select

Fund Legal Research (Midpage)

Fund one year of legal research access: full US case law, FTC antitrust opinions, PBM litigation, merger challenges. Answers "how did the system get this way?"

✅ Named as a data sponsor in every issue that uses legal research
✅ All analysis code published to GitHub (MIT License)
✅ All findings published openly

$1,500 one time

Select

Fund CMS Medicare Claims (5% Sample)

Fund the CMS Limited Data Set: a 5% random sample of all fee-for-service Medicare claims with diagnosis codes, procedure codes, and denial outcomes. Transforms 6+ future issues from aggregate inference to patient-level evidence.

✅ Named as a data sponsor in every issue that uses Medicare claims data
✅ All analysis code published to GitHub (MIT License)
✅ All findings published openly

$2,000 one time

Select

Fund Colorado All-Payer Claims

Fund the Colorado APCD: every commercial, Medicare, and Medicaid claim in Colorado (5.5M lives). The only way to see what private insurers actually pay. Enables ground-truth pricing analysis and State Spotlight pieces.

✅ Named as a data sponsor in every issue that uses all-payer claims
✅ All analysis code published to GitHub (MIT License)
✅ All findings published openly

$3,500 one time

Select

Fund Price Transparency Data (Full National)

Fund Turquoise Health's full dataset: 1 billion+ negotiated rate records showing what every hospital charges every insurer for every procedure. The most consumer-facing dataset on the list.

✅ Named as a data sponsor in every issue that uses price transparency data
✅ All analysis code published to GitHub (MIT License)
✅ All findings published openly