Webinar on-demand

Optimizing Revenue Opportunity with Risk Adjustment Factor and Hierarchical Condition Category Analytics

With vaccine distribution underway we now have a path back to normalcy, but this does not mean the financial strains caused by the pandemic will immediately resolve. Organizations that proactively manage the Risk Adjustment Factors (RAF) and stay on top of the diagnosis documentation for their patients will be able to better predict and manage costs and revenues to ensure financial viability and strength as we end the pandemic.

Watch this webinar where we provide a live demonstration of HCC and RAF analytics and also discuss how data will:

  • Ensure accurate documentation for maximum reimbursement
  • Deliver provider and patient-level insights
  • Highlight opportunities to improve coding for more predictable revenue

About the speakers

Greg Cook

Greg Cook

VP of Deployment Services - Prominence Advisors

Greg Cook is the VP of Deployment Services at Prominence Advisors where he is responsible for overseeing the success of all of Prominence’s Epic advisory and Revenue Cycle Management engagements to customers. Greg was a System Success Executive at Epic where he oversaw the implementations and best practice development for their Revenue Cycle products. At Prominence, Greg has worked with dozens of customers to optimize their revenue cycle and EMR processes, strengthen IT governance practices, and implement advanced analytics solutions. Greg holds a Bachelor of Arts degree in Economics from Harvard University of Cambridge, MA.

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Barry P. Chaiken, MD

Clinical Lead, Healthcare, Tableau

Barry Chaiken, MD, MPH, is the clinical lead at Tableau Healthcare and has more than 25 years of experience in medical research, epidemiology, clinical information technology, and analytics. He is board-certified in general preventive medicine and public health and is a fellow and former board member and chair of HIMSS. As the founder of DocsNetwork Ltd., Chaiken worked on quality improvement studies, health IT clinical transformation projects, and clinical investigations for the National Institutes of Health, UK National Health Service, and Boston University Medical School.

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