WHY VISION INSURANCE MATTERS

Almost 300 million Americans have some type of vision insurance coverage and benefits. A typical eye care practice spends between 2 hours and 4 hours verifying, adjusting and correcting vision insurance benefits. The work requires calling multiple insurance companies and checking multiple web sites. The costs are significant: Unpaid insurance receivable, bad debt and even the loss of the patient relationship.

WHAT IF THERE WAS A BETTER WAY?

The AffinityAnalytics platform is the only platform that provides vision insurance benefits coverage information for the vast majority of patients covered by vision insurance. Unlike medical insurance clearing houses, we provide insurance eligibility information for all major vision insurance payers. 

PATIENT ANALYSIS
The AffinityAnalytics platform combines multiple technologies to identify an individual patient’s most important decision factors to streamline every step of the patient-provider lifecycle:

· What is the patient’s clinical need?
· How does the patient view the care provider relative to other choices?
· How will the patient pay for services and materials?
· What is the patient’s vision benefits status?
· At what stage in the decision lifecycle is the patient currently?

Our proprietary analysis platform combines information from the “voice of the customer”with insights on prior purchases, managed care benefits availability, and relationship lifecycle to determine CUSTOMER INTELLIGENCE which can optimize the patient-provider relationship.

AUTOMATION + ANALYSIS = CUSTOMER INTELLIGENCE
 In order to successfully derive customer intelligence, the AffinityAnalytics platform provides extensive automation of marketing, revenue cycle management and messaging

functions within a provider organization. Imagine the power to solve the following needs:
· We need to notify 1,000,000 patients per day of important changes just-in-time via email, SMS and phone.
· We need to identify and refill contact lenses for 100,000 patients just-in-time before they run out of their supply.
· We need to identify and correct patient demographic errors while reducing our staff costs.