Cost of Inaccurate Data

What are CMS provider directory fines costing you? Figure out what you need to be aware of and how to cut the costs.

Download the CMS ‘Online Provider Directory Review Report’

The Cost

Consumer Challenge

Consumers face a challenge when it comes to finding providers in their network due to inaccurate provider data, often resulting in CMS provider directory fines for health plans. The Centers for Medicare & Medicaid Services (CMS) found in a recent review that 45.1% of provider directory locations were inaccurate. The types of inaccuracies included:

- The provider was not accepting new patients when the directory indicated they were
- The provider was not at the location listed
- The phone number was incorrect

Case #1

According to the Wall Street Journal, a breast-cancer patient needed reconstructive surgery after a double mastectomy but six of the eight plastic surgeons listed in her Health Net plan's directory didn't accept her insurance, another physician was on maternity leave, and the eighth physician specialized in nose jobs.

Case #2

A dermatologist who practiced in Sacramento, CA, said she had no idea she was listed in a Medicare Advantage HMO directory in the St. Louis, MO area, where she previously lived and taught medical students.

dollar cost

Penalties & Costs

Some states are imposing their own rules and sanctions on health plans due to inaccurate provider data:

Fines: Anthem Blue Cross $250,000 and Blue Shield of California $350,000 (more than 25% of doctors listed in their directories included inaccurate data or denied accepting specific health insurance plans)
Blue Shield paid more than $38 million in claims adjustments in part to cover out-of-network costs
Anthem spent more than $4 million in California attempting to make its directories more accurate and user-friendly

Source: ‘Health Insurers to Face Fines for Not Correcting Doctor Directories’, The Wall Street Journal, Dec. 28, 2015

Our Software

A program worth looking into

Our technology does more than just build an accurate provider directory. Truly unique to Curatus, ProviderLenz features a data-scoring algorithm that generates an ‘Accuracy Confidence Level’ (ACL) score for each particle of provider data. When a low ACL score is detected, ProviderLenz automates the process of provider (Attestation) outreach so bad information can be corrected, while minimizing the burden on the provider.