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Why Health Administrators Should Adopt RPA

by Ant Sh
Why Health Administrators Should Adopt RPA

Founded in 2018, Axuall is a workforce intelligence company powered by a national real-time practitioner data network. The technology enables healthcare systems, staffing firms, telehealth, and health plans to dramatically reduce onboarding and enrollment time while also providing unique, powerful data insights for network planning, analytics, and reporting. The company’s CEO and founder, ​​Charlie Lougheed, recently gave an interview to Hitconsultant.net, where he shared why health administration teams should embrace the power of Robotic Process Automation. Here is a digest of that.

According to Lougheed, RPA can sound like a threatening term for health administration teams, but in reality, this technology should be looked at as their friend, rather than their enemy. To put it simply, these bots are like border collies because they do the job of constantly herding information (not sheep, of course).

There was a time when shepherds used to herd sheep themselves, but then along came the sheepdogs, and the process got a lot more efficient. The only shepherds that lost their job were the ones that didn’t take advantage of this new “technology,” it has nothing to do with “giving up control.”

Healthcare administrators should view RPA as a tool to enable – not replace – humans. While this automation isn’t a new concept, its potential to help alleviate some of the biggest trends and challenges facing the US healthcare system today has become much more prevalent (e.g., the widening gap between supply and demand, a rapidly growing clinician shortage, and the shrinking revenue and budget that follow as a result).

By combining RPA with the provider big data, for instance, the two can eliminate much of the manual intervention that currently holds administrators back from the truly important activity that requires critical thinking. The widespread adoption of this technology could empower MSPs and healthcare executives to collaborate, analyze, plan, and deploy resources where they’re most needed in a way that’s never been possible before – all while automatically meeting credentialing and privileging regulations at the same time.

It’s no secret that staffing has emerged as one of the most immediate concerns in healthcare today. In fact, personnel shortages even just replaced financial challenges as the top concern for hospital CEOs for the first time in nearly two decades, according to the American College of Healthcare Executives.

This “new normal” leaves health systems permanently operating in an extremely challenging environment. The key to successfully navigating staffing will be efficiency and flexibility – two things traditionally not within reach for hospitals due to credentialing and privileging regulations. However, RPA is providing health systems with comprehensive, real-time insight into their current and future clinical workforce, allowing administrators to better navigate the increasing challenges of care logistics. Doing so allows big data to be applied across the provider community that can address gaps in workforce supply, distribute precious resources more efficiently, and optimize care networks.

The result will be a future of healthcare that allows administration teams to become data analysts, not just data aggregators.