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Our Data

Hospital Transparency Data

Serif Health ingests 4,775 hospitals' standard charge machine readable file (MRF) disclosures detailing their charge-masters, net-allowed rates, and facility contracts.

4,775

Hospitals

19.3 billion

Rates processed

Reviewed monthly for any updates

Step One

Ingestion

Each month, Serif Health brings in over 4,775 hospitals' filings to see if any updates occurred to their disclosures. These changes may be due to updated regulatory guidance from CMS, new contracts or standard charge information, or scheduled refreshes. If new data surfaced, Serif Health updates our inventory accordingly. Over the course of a year, nearly all files update to the latest information.

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Step Two

Quality Assurance

Once ingested, Serif Health normalizes the data and ensure files comply with Hospital Transparency Act requirements using a series of tests across completeness and accuracy. These include comparison against payer's postings and other data sources (e.g., CMS, claims, contracts) as necessary.

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Step Three

Enrichment

After cleaning the data, we enhance several fields to unlock usability of the filings. These include using advanced machine learning models to standardize free-text columns like payer-names, plan-names across our data assets & library for common use and extraction of key contract terms (e.g., stop-loss, carve-outs, outlier payments, multiple procedure discounts, etc.) into structured columns via AI-driven pattern recognition.

See what our customers are saying

Serif’s tools have unlocked key pieces of information that have supported how we structure our contracts. They’ve been a helpful partner in understanding price transparency data, and their team has consistently gone above and beyond to quickly source data to assist with our needs.

Chief of Staff

Specialty Care Group

Serif's reimbursement data has been instrumental in informing which clinical groups are viable for us to work with. After zeroing in on those groups, it has allowed us to shortcut the arduous back and forth of gathering reimbursement pricing data from them, something that is particularly difficult when helping a clinical group expand their service offerings. Being able to show up at an early stage meeting with reimbursement information in hand and in a deck has been a game changer and wins us significant credibility right off the bat.

VP of Commercial Growth

Radiology Services

Using the data from Serif has been incredibly helpful for our payor negotiations. There is no longer a mystery about where you stand in the market.

Bret Hicks, Director-Finance

Tucson Medical Center

Signal makes complex MRF data easy to use. Other tools we looked at returned significantly more 'junk' data and clutter that made us do extra work. As a multispecialty provider with several surgery centers, Serif equalizes the knowledge disparity between payers and providers.

Chief Network Officer

Multispecialty Provider with several ASCs

Powering healthcare price transparency for over 300 companies – from startups to enterprises.

Axia Women's Health
Nourish
Headspace
Tucson Medical Center

Sample Data

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