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/Index/Penelope Health/Machine-readable US payer medical coverage policy network
PH

Machine-readable US payer medical coverage policy network

PENELOPE HEALTHManage supplier listing

Machine-readable US payer medical coverage policy network: for every payer and plan, which CPT / HCPCS / ICD codes are covered, excluded or classified experimental, with medical-necessity criteria decomposed into executable AND/OR logic trees and the documentation required for a claim to be accepted, plus prior-authorization requirements and a dated change log of policy updates. Vendor-stated scale: >500,000 context-categorised extracted codes, >2 million medical-necessity criteria, ~99% code-extraction accuracy, dozens of new policies ingested every working day, covering the majority of insured Americans. Also derives a payer-variance layer quantifying clinically significant differences between any two payers' policies.

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Penelope Health/Machine-readable US payer medical coverage policy network
SampleCoverage

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Coverage

Universe, instruments and categories.

Industry
Health Care TechnologyLife and Health Insurance
Instruments
equities
Categories
Alternative
Reference
Regions
US
Sample tickers
UNHELVCVSHCAMDTBSXISRGDXCMPANWTHC
Dataset card
Type
not stated
Format
Structured JSON via a documented API product, sub-second response times, plus a web app and a public policy-update feed; underlying records are code x payer x plan coverage assertions with boolean-logic criteria trees
Volume
Vendor-stated: >500,000 extracted codes categorised by context, >2 million medical-necessity criteria with AND/OR logic, plus dozens of new policies added every working day (order of ~10,000 new policies a year) and a dated revision history behind each. Coverage spans the majority of insured Americans, implying thousands of payer-plan policy documents.
Users
Early-stage, likely tens of enterprise accounts rather than individual registrations (inferred: 4-employee venture-backed startup selling API integration with white-glove deployment — 'We handle installation, testing, and launch' — which is an enterprise-contract motion, not signup)
History
3 years
Update frequency
not stated
Growth
Active and fast-growing — network ingestion runs at 'dozens of new policies added every working day' with daily updates, the company is venture-backed with ~$100M reported funding against only 4 staff, and it is actively hiring via a live careers portal
Launched
~2024-2025 (inferred: 4-person team with a venture round, a current-generation marketing site, newly published API documentation and a live public policy-updates feed — all recently stood up; no founding date printed on the page)
Delivery
not stated
Entity mapping
not stated
Sample
not stated
Point-in-time
not stated
Licence
not stated

supplier index read from their site

Penelope Health has not added their own details yet. Not yet on file:

  • Dataset
  • Data dictionary
  • Coverage
  • Provenance
  • Rights & data handling