It’s no secret that many hospitals find themselves in faltering fiscal health lately. According to the Harvard Business Review, since the start of 2016, some of the nation’s top hospitals have lost hundreds of millions of dollars of income.These challenges can be especially pressing for academic medical centers (AMCs), who process a large volume of complex, high-ticket medical claims and generate revenue from direct patient care.Today, AMCs are finding themselves less insulated from changes in
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Denials Management
R1 and Automation Anywhere Team Up to Apply Enhanced AI to Revenue Cycle Management
R1, a provider of revenue cycle management (RCM) services is teaming up with Automation Anywhere to incorporate their Robotic Process Automation (RPA) technologies into the healthcare revenue cycle. This move supports the industry’s call for digital transformation across hospitals, health systems and physician practices alike. Benefits of Applying AI in Revenue Cycle ManagementR1’s technology solutions currently leverage RPA, driving improved results for its clients, such as increasing net
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Change Healthcare Launches Front-End Denials Management Tool for Providers
Change Healthcare today unveiled a new technology that helps providers reduce one of the leading causes of claim denials. Assurance Attach Assist™, a module of Change Healthcare Assurance Reimbursement Management™, now anticipates what documentation a payer—including Medi-Cal and seven other payers—may require to help prevent the denial of a claim due to lack of documentation. The result: Providers can now use Assurance Attach Assist’s automation as a tool to proactively decrease
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Fixing Healthcare’s Broken Pre-Authorization Screening & Verification Model
Editor's Note: David Dyke is the Vice President of Product Management & Business Development at RelayHealth where he is responsible for delivering innovation and value to the healthcare providers across revenue cycle management. Among the processes that influence the healthcare revenue cycle, pre-authorization stands out—but not in a good way. It lacks the foundation of a widely-adopted electronic data exchange, resulting in repeated manual, ad hoc methods of securing and confirming payer
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