Been exploring the Transparency in Coverage Rule (
https://www.cms.gov/healthplan-price-transparency) that forces every health insurer to publish their contract rates with every provider they have in network in a machine readable format (json files)
These published files are massive (about a petabyte of data a month with individual files up to 20GB) and a PITA to dig through. We built HealthPlanExplorer.com to make it easy to search the files. You can:
- choose any in network file (as many as you want)
- search by National Provider Identifier (NPI)
- search by CPT Code
And we'll generate a CSV with the results. If the items you search for aren't found, we'll give you the full export. Next up, we'll make it queryable so you can do different cuts much more quickly.
Patients that I've interviewed generally want a completely abstracted process - send or upload a picture of their bill and their insurance, and then hand it off. This would be similar to the cushion.ai experience.
Employers on the other hand want to ensure that they aren't being overcharged by their current stack. They are always looking for solutions for reducing costs and better understanding the drivers of those costs, which tools like springbuk.com address.
I have less familiarity with the provider side, but the cost of maintaining an insurance billing program has always seemed manual and inefficient. At the SMB scale, I suspect something like Square or Stripe would have a great shot at solving these problems, but I can see data and billing teams at health systems using this to help with negotiations on specific cases and baseline pricing for different CPT codes.
API endpoints that provide clean, abstracted negotiated rates data could be a great infrastructural product for both traditional providers and digital health companies.