White Paper Shows How Statistical Models Can Improve Medical Debt Collections

Available free for download, SunGard’s AvantGard, provider of statistical scoring models and corporate liquidity solutions, has a new whitepaper: How Statistical Models Can Help Navigate the Future of Medical Debt Collections. In it, the company suggests that statistical modeling can give the debt and healthcare industry a leg-up by helping healthcare providers and medical debt collectors reduce costs and increase liquidations.

“In the US, providers are seeing their debt accumulate due to regulation and rising healthcare costs,” SunGard writes in the introduction. “Statistical modeling generates scores that can more accurately predict payers and dollars to be collected, enabling healthcare providers and medical debt collectors to develop a more targeted and effective patient friendly collections strategy.  The model generates a score based on millions of medical payment observations blended with socioeconomic and demographic data, producing accurate predictions of which patients are most likely to pay. The models do not require bureau data or personally identifiable information, alleviating concerns about violating patient privacy or permissible purpose rules.”

You can download the paper here: How Statistical Models Can Help Navigate the Future of Medical Debt Collections