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Serif Health

Serif Health aggregates and normalizes machine-readable files, hospital price transparency data, and commercial claims records monthly. This process delivers a comprehensive view of negotiated rates and market dynamics across various lines of business. Payers and contracting organizations utilize this validated data to benchmark performance and secure favorable reimbursement agreements.

Los Angeles, United StatesFounded 202071K+ followers
Updated 4 months ago

Funding

$2.5M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Healthcare organizations often struggle to understand and benchmark their contract rates with commercial payers due to the complexity and lack of standardization in payer data. This makes it difficult to negotiate competitive rates and optimize revenue.

Solution

Serif Health provides a healthcare price intelligence platform that aggregates, cleans, and validates machine-readable files (MRFs) from over 200 commercial payers. The platform enables healthcare organizations to access actionable market benchmarks, compare rates against peers, and identify opportunities for contract optimization. By providing easy access to comprehensive and validated pricing data, Serif Health empowers organizations to secure competitive contract rates and enhance their negotiation strategies. The platform offers multiple access methods, including a search tool, APIs, and custom data delivery options.

Target Audience

Serif Health's primary customers are healthcare organizations, ranging from startups to enterprises, that contract with commercial payers and seek to optimize their reimbursement rates.

Features

  • Ingestion and processing of MRFs from over 200 commercial payers, covering PPOs, HMOs, ASOs, and Exchange Plans.
  • Rate searching and market benchmark generation.
  • Rate comparison tools to analyze performance against peers.
  • Data delivery via CSV, Parquet, Snowflake, or Databricks.
  • API endpoints for seamless integration of price transparency data into existing platforms.
This profile is AI-generated and may contain inaccuracies.