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patient collections
4 Keys To Improving Self-Pay Collections In 2021
Micro-segmentation of patient accounts and machine learning equip healthcare providers to shift to an ROI-focused approach to patient collections -- while maintaining empathy improving patient engagement.
How a 120-Day Machine Learning Experiment Led to a 6.5% Increase in Patient Collections
In late 2019, Sift Healthcare and State Collection joined forces to test AI in the revenue cycle. Together, we conducted a rigorous 120-day live, scientific test (with a control group) for Wake Forest Baptist Health, to determine if machine learning impacted patient financial engagement outcomes. The results were impressive — a 6.5% increase in patient collections.
How Do You Optimize Patient Collections During COVID-19?
While triage around COVID-19 continues, patient bills are going to pile up, cash on hand is going to dwindle and a more significant number of patients will struggle to pay their medical bills. Now is the time to be strategic and truly commit to being a flexible payment partner for patients. The starting point? Data analytics. Which easily dovetails into machine learning, both providing a powerful advantage for patient collections.
6 Ways To Increase Patient Payments
Providers of all sizes, as well as RCMs, will be challenged in 2020 to drive better results in patient collections. Here are six ways to maximize patient payments. They might require some data science, but Sift makes that accessible.
Why You Should Be Thinking About Call Cadence
For the patient revenue cycle, when, how often, and the method of outreach have a direct impact on dollars collected. But nobody is talking about contact cadence....
