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Reimbursement Intelligence Needs Both Policy and Outcomes

Revenue cycle teams have traditionally relied on two very different ...

Healthcare has spent years getting better at collecting data: claims ...

Revenue cycle teams are not short on work. ...

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Revenue cycle teams have traditionally relied on two very different sources of information to understand reimbursement. On one ...

Healthcare has spent years getting better at collecting data: claims and remittance data, payer policies, coding guidance, denial ...

Revenue cycle teams are not short on work. They are managing coding questions, payer requirements, ...

Revenue cycle leaders have spent years strengthening back-end denial management, improving follow-up ...

Why Reactive Recovery Is Giving Way to Predictive Revenue Operations

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Women's healthcare organizations can face unique billing complexities. Multiple procedures, bundled services, and modifier usage create ...

Your healthcare organization may already be cautious of overcoding, the practice of adding additional or overinflated medical codes ...

Recognizing the need for a stronger revenue cycle foundation is one thing. Implementing change without disrupting operations is ...

Artificial intelligence is quickly becoming part of the revenue cycle conversation. From AI-assisted coding to denial prediction ...

The rising complexity in denials and the need to embrace payer-side AI have both noticeably changed the world of enterprise ...