Thoughts on Healthcare Markets & Technology

Thoughts on Healthcare Markets & Technology

Companies to Incubate for Health Systems: A Field Guide Spanning Prior Auth Automation, Virtual Card Interchange, Workforce Intelligence, Payer Contract Analytics & the RCM Plays Hiding in Plain Sight

Aug 26, 2026
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Thoughts on Healthcare Markets & Technology
Companies to Incubate for Health Systems: A Field Guide Spanning Prior Auth Automation, Virtual Card Interchange, Workforce Intelligence, Payer Contract Analytics & the RCM Plays Hiding in Plain Sight
Hospitals are famously terrible software buyers. 18-month sales cycles. Pilots that stall. CIOs buried under Epic tickets. And yet the incubation model says: build INSIDE the health system, not into it. Here is why that matters…
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7 minutes ago · Thoughts on Healthcare

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Abstract

  1. The premise, or why hospitals are the best worst customers

  2. Revenue cycle and the prior auth forcing function

  3. The CFO stack: cards, treasury, receivables, bad debt

  4. Workforce: the agency markup is the product

  5. Benchmarking businesses and the data network effect

  6. The quiet operational layer

  7. The vibe code test

  8. How these die

  9. Where the money actually is

Table of Contents

  • Thesis: health systems are terrible software buyers and phenomenal design partners, which makes them ideal incubation anchors for companies built inside their workflows rather than sold into them

  • Covers roughly 40 company concepts across five buckets: revenue cycle and prior auth, financial infrastructure, workforce, benchmarking and intelligence platforms, and operational tooling

  • Key numbers along the way: about $13B in annual PA administrative burden, roughly 13 to 16 hours per physician per week on prior auth, roughly 40 to 100 percent agency markups, 1.5 to 5 percent virtual card interchange, 2 to 4 percent systematic payer underpayment, tens of billions in hospital bad debt, and on the order of $66B plus in annual 340B discounts

  • Argues that roughly a third of these can be vibe coded to a credible seed demo in weeks because the pattern is structured data in, LLM reasoning in the middle, action-oriented UI out

  • Ends with an honest accounting of what kills these companies: sales cycles, IT governance committees, pilots that never convert, and performance pricing that sounds great until the finance team has to attribute savings

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