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AI in Revenue Cycle Management (RCM) is a hot topic, raising questions about its potential to fully automate the process. Michael Quinn, VP of Strategic Partner Development at Inovalon, shared insights during a “Tough Questions” interview. Inovalon’s platform integrates national-scale connectivity, real-time data access, and advanced analytics, serving 53,000 care sites. Quinn acknowledges that while AI can enhance RCM through data mapping, language processing, and analytics, it hasn’t reached the point of human-like capabilities. He is optimistic about its benefits but stresses that RCM processes, though standardizable, still require human oversight
Michael Quinn, VP at Inovalon, discussed AI's role in Revenue Cycle Management (RCM) in a recent interview. He highlighted that while AI can significantly improve RCM through data mapping, language processing, and analytics, it hasn’t achieved human-like capabilities. Quinn expressed optimism about AI’s potential benefits but emphasized that many RCM processes, though standardized, still need human oversight. He believes full automation of RCM is unlikely in the near future, as human intervention remains essential due to the constantly evolving rules and unique exceptions in payment processing.
Continue reading at healthcareittoday.com
Health information management teams everywhere are constantly doing more, but somehow it always feels like playing catch up.Notably, between 30 and 47 percent of U.S. hospitals still rely on fax or …
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