Proactive Revenue Cycle Management Through Analytics and Machine Learning
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Throughout the revenue cycle we are constantly working retroactively. The never-ending waiting for information causes frustration, increases AR and revenue leakage, and prevents us from achieving our transformational goals. Technology available today such as integrated analytics, machine learning, and PAS automation can be applied to turn a reactive revenue cycle into a proactive one.
Understand the role of analytics in proactive management and how they can realistically be applied
Discover specific examples of applying technology to proactively manage denials, charging, and other key functions
Discuss strategies and processes for bringing proactive management to your operation
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