A staggering 100 million patients struggle with medical debt. While most providers are willing to work with patients on price, they have to walk a tightrope to determine both the right discount recipient and amount, without hurting collections.
Learn how one provider leveraged machine learning to personalize self-pay discounts at scale, improving both affordability for patients and the provider’s bottom line.
- Discover how the provider acquired data to train a machine learning model capable of predicting a patient’s propensity to pay
- Understand how the model matches each patient with the best discount option, all through an automated process
- See the impact of using machine learning to tailor discounts with precision, empowering the patients who need it most