Discover the main contributing factors of patient misidentification and how providers can prevent them with patient identity solutions.
Referential matching is only as good as the data it’s trying to match. Some vendors repurpose data which can be vulnerable to inaccuracies.
Data-driven technology creates a patient financial experience that is friendly, understandable and accessible, while delivering the good-faith estimates.
When someone enrolls in the portal, use identity proofing to ensure they are who they say they are. It’s important to ask out-of-wallet questions.
An automated coverage discovery solution can reduce instances of uncompensated care by identifying patient accounts without sufficient insurance coverage.
Providers who want to reduce friction around payments, optimize revenue and build a positive relationship with consumers should use data and technology.
Working with consumer data is somewhat new to health. Here’s how to source, store and use this data to remain compliant.
Healthcare brands can learn from other industries and use data-driven insights to personalize marketing strategies and enhance the customer experience.
More than 80% of health outcomes are unrelated to medical care. Using the right data helps providers understand and solve for social determinants of health.
Through an automated, data-driven process, Blessing Health is now able to provide personalized patient estimates that are 80 percent to 90 percent accurate.
One challenge of using RCM solutions is finding talent with the skill set to handle RCM software difficulties, here’s how automation helped UCLA Health.
