The future success hinges on the ability to overcome growing revenue cycle challenges, such as severe staffing shortages and increased patient financial responsibility. Productivity alone will no longer suffice. Revenue cycle models must evolve to embrace the concept of effective intelligence, a model that enables users to execute tasks more effectively and measure the financial outcomes of work effort. Providers need to have real-time visibility into their effective intelligence quotient and the impact of each revenue cycle team member.
This session will explore the journey Washington-based Rebound Orthopedics & Neurosurgery, a 16-location, 75-provider group, took to lay the foundation to support effective intelligence, improving net collection rate and reducing avoidable write-offs. Smart technology investments support remote workforces, provide needed transparency into day-to-day activity, and optimize workflows around activity that produces the greatest ROI. Financial clearance and digital payment strategies ensure greater success in capturing patient balances and improving overall patient financial experience.
Most AI vendor pitches are built around task-completion metrics: claims processed, calls placed, codes assigned, denials ‘worked.’ These numbers are easy to demo and easy to report. They are also, on their own, meaningless.
Matt Seefeld has more than 20 years of management consulting experience in the healthcare industry. He has extensive expertise in the assessment, design, and deployment of process improvement programs and technology development across the entire revenue cycle.
Most AI vendor pitches are built around task-completion metrics: claims processed, calls placed, codes assigned, denials ‘worked.’ These numbers are easy to demo and easy to report. They are also, on their own, meaningless.
Provider organizations should adopt new methodologies for revenue cycle benchmarks to understand staff effectiveness and where breakdowns are occurring. These include the following measures along with suggested percentages for optimizing revenue cycle processes.
Provider organizations should adopt new methodologies for revenue cycle benchmarks to understand staff effectiveness and where breakdowns are occurring. These include the following measures along with suggested percentages for optimizing revenue cycle processes.
Reduce RCM labor dependence with financial clearance, insurance A/R, & patient A/R automation modules with real-time analytics.
Increase productivity and simplify front & back office processes while keeping your staff focused with our flagship PM system.
Most AI vendor pitches are built around task-completion metrics: claims processed, calls placed, codes assigned, denials ‘worked.’ These numbers are easy to demo and easy to report. They are also,
Provider organizations should adopt new methodologies for revenue cycle benchmarks to understand staff effectiveness and where breakdowns are occurring. These include the following measures along with suggested percentages for optimizing
Provider organizations should adopt new methodologies for revenue cycle benchmarks to understand staff effectiveness and where breakdowns are occurring. These include the following measures along with suggested percentages for optimizing
Provider organizations should adopt new methodologies for revenue cycle benchmarks to understand staff effectiveness and where breakdowns are occurring. These include the following measures along with suggested percentages for optimizing
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