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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 227

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