Accelerate Revenue Cycle Workflows to Help Combat Financial Challenges

It should come as news to no one that many hospitals and health systems are struggling in the wake of the COVID pandemic. As they seek to recover and move forward, many organizations are placing an additional focus on the revenue cycle operations of their business.

With resources and budgets stretched thin, it’s never been more critical to find ways to do more with less. When it comes to patient care, however, cutting corners is not an option. So, the question is – how do hospitals drive revenue cycle performance while still providing the best possible care for their patients?

Two words: workflow automation. With technology that leverages advanced machine learning, organizations can streamline processes and enable teams to modernize manual tasks, saving valuable time and money. Patient intake, insurance verification and scheduling are all processes that greatly impact the revenue cycle of a hospital, and each one can be streamlined with process automation.

Consider, for example, all of the forms required to register a single patient in a hospital. Accurately capturing information from patients and bringing it into the hospital’s electronic health record (EHR) system is easier said than done.

That’s why solutions that enable patient forms to be automatically indexed are becoming more popular. Vyne Medical’s Auto-Indexing technology uses machine learning to read incoming text data and implement advanced form recognition to seamlessly map captured data to targeted fields in the patient record.

By implementing an auto-indexing solution, organizations can:

  • Decrease manual data entry to save time and money
  • Reduce downstream errors by improving data accuracy and reliability
  • Boost staff efficiency and productivity with a renewed focus on value-added activities

Let the experts at Vyne Medical show you how the Trace® platform can automate manual workflows and drive revenue cycle improvements. Contact us to schedule a call with a Vyne Medical professional today.



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