XSOLIS Takes Real-Time Predictive Analytics to Tennessee

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The company will provide real-time predictive analytics for case management and utilization review for Tennessee hospitals.

Healthcare analytics and technology provider XSOLIS announced it has been selected by the Tennessee Hospital Association Solutions group to be the preferred provider of real-time predictive analytics for case management and utilization review for the over 160 Tennessee hospitals it covers.

XSOLIS uses artificial intelligence, intelligent automation and machine learning to generate insights for healthcare providers and payers. They combine their Utilization Review Technology, Denials Management services, and Physician Advisor services into one comprehensive suite of tools that convert healthcare data into predictive intelligence for operations optimization and improved decision making.

“Innovation starts with action,” says Jim Goodloe, Senior Vice President for THA Solutions Group. “XSOLIS offers hospitals the opportunity to take a proactive approach to reducing revenue risk and improving compliance. We are confident the value XSOLIS provides their nationwide client base can be magnified by partnering with THA and our member hospitals. Using cognitive computing to improve operations and overcome inefficiencies is a novel approach for the healthcare industry.”

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“We are thrilled that the THA Solutions Group recognizes the novel value we offer to their member hospitals,” said Joan Butters, CEO and co-founder of XSOLIS. “As a Nashville-based and founded organization, our partnership with the Tennessee Hospital Association’s Solutions Group underscores our commitment to Tennessee’s healthcare community.”

XSOLIS’ real-time predictive analytics eliminate inconsistencies during case review and offer a neutral base for collaboration between payers and providers.  This allows utilization to be done through a “by-exception” mode which increases productivity while reducing unnecessary duplication. The company claims its technology can also help reduce short stays, overall patient length of stays and observation rates.

Sue Walsh

About Sue Walsh

Sue Walsh is a freelance writer and social media manager living in New York City. Her specialties include tech, security and e-commerce. You can follow her on Twitter at @girlfridaygeek.

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