Health iPASS Insights

Paul Prikasky

Recent Posts

Patient Revenue Cycle Crystal Ball with Rajesh Voddiraju: AI and Machine Learning Are Shaping the Future of Healthcare Finance

Posted by Paul Prikasky on Aug 24, 2018 9:51:59 AM

If you’ve checked out our newly rebranded website, you might have seen the bio of our founder and CEO Rajesh Voddiraju.  To quote his site bio, “Rajesh is smart. Really smart. So smart that we now have a jar where we drop $1 every time we learn something new from Rajesh. The jar has to be emptied once a week.” There is no doubt that we here at Health iPASS recognize Rajesh as an amazing source of information and insight about the financial side of the healthcare industry. That’s why we recently asked him to share some of the top ways revenue cycle management will be changing in the coming months. This week, we are focusing on the first of these predictions.

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Topics: Revenue Cycle Management, patient revenue cycle, revenue cycle, machine learning, Artificial Intelligence, AI, revenue cycle predictions

Disruptive Innovation in the Patient Revenue Cycle

Posted by Paul Prikasky on Mar 14, 2018 3:53:41 PM

In a changing healthcare landscape, relying on the same old methods and systems to manage patient revenue is simply no longer effective. The pressing need for positive change calls for disruptive innovation, which is defined by Forbes contributor John Converse Townsend in his 2013 article as, “how industries transform to create more affordable and accessible products and services.” Many hospitals and small-scale health systems are seeking this kind of revitalizing disruption by switching to a new Patient Accounting System (PAS) to improve communication throughout the organization, drive efficiency, increase patient loyalty and empowerment, and boost cost savings while improving cash flow. Unfortunately, in most cases, a PAS conversion can be a massive headache. It takes the right people, tools, and technology to efficiently convert your PAS, but knowing the “symptoms” that lead to a need for disruptive patient revenue cycle innovation is the first step to making the switch to a successful solution.

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Topics: Revenue Cycle Management, Innovation