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/Index/PolicyChanges.app/PolicyChanges.app
P

PolicyChanges.app

POLICYCHANGES.APPManage supplier listing

A structured, change-event time series of US health-payer medical policy and utilization-management changes, monitored daily across 40+ payers. Each policy record is normalized into a comparable schema: payer, state, line of business (e.g. Commercial), policy category (e.g. Prior Auth), impact rating, affected specialties (e.g. Oncology, Rheumatology, Neurology plus further specialties), therapeutic channel (e.g. Pharmacy), effective date, the vendor's own date of detection, days to comply, an AI-generated summary, affected billing codes, and a required-action instruction set for billing teams. The distinctive property is that it captures changes rather than static policy text: it records when a requirement appeared, which payers and geographies it applies to, and what operational response it forces (worked example on the site: Anthem BCBS New York introducing step-therapy try-and-fail requirements on specialty medications, detected 30 May 2026 with no published effective date). This is effectively a step-therapy and prior-authorization protocol library indexed by payer, state, specialty and drug channel — a dataset with no free equivalent, because payers publish these policies as unstructured PDFs and web pages with no change feed and no reliable effective-date metadata.

PolicyChanges.app/PolicyChanges.app
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Coverage

Universe, instruments and categories.

Industry
Managed CareHealth Care Technology
Instruments
equities
Categories
Alternative
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Reference
Sentiment
Regions
US
Sample tickers
ANTMELVCNCHIMSCORABT
Dataset card
Type
not stated
Format
Text-to-structured hybrid: normalized per-policy records with categorical fields (payer, state, line of business, category, impact, specialties, channel, dates) plus AI-generated prose summaries and action lists, and extracted billing codes. Delivered as browsable web policy records and filtered alert email; structured enough to serve as a reference library consumable by API integration.
Volume
Corpus of at least low tens of thousands of normalized policy records: record identifiers on the site run into the five-digit range (this record is id 1653 while a sibling record on the same entity carries id 27218), implying an ID space of 27,000+ policy entries even allowing for gaps, across 40+ payers, all states, multiple lines of business and specialty categories, refreshed daily. Each record adds an AI summary, extracted billing codes and an action list, so the text corpus is materially larger than the record count alone. Exact current record count is not published and should be requested.
Users
~100-2,000 subscribing provider-organization seats (inferred: a niche B2B subscription sold to billing and revenue-cycle teams at multi-specialty groups, marketed with a single customer testimonial and run by a company with no recorded headcount, consistent with an early-stage customer base in the hundreds; no customer count is published)
History
3 years
Update frequency
not stated
Growth
Active — daily monitoring cadence across the payer set, live policy records dated into mid-2026, an operating product with customer testimonials and a support channel, and a surface that has grown from plain monitoring to AI summaries with billing-code extraction and specialty/state-filtered alerting
Launched
~2024-2025 (inferred: no launch date stated; the company profile records zero employees and no funding, the .app TLD is typical of recent developer-built products, and the AI-summary capability implies a post-2023 build, while five-digit record IDs mean the corpus had to be accumulating well before 2026)
Delivery
not stated
Entity mapping
not stated
Sample
not stated
Point-in-time
not stated
Licence
not stated

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