Activating AI in the Mid-Revenue Cycle: Myth, Reality, and New Best Practices
Artificial Intelligence is here to stay and going further, especially in revenue cycle. As more healthcare executives push ahead with AI, solutions are cementing themselves in the revenue cycle playbook.
But how can revenue cycle and finance leaders ensure AI delivers improve quality, capacity, and achieves net realized revenue?
This executive brief takes a closer look at the myths, realities, and best practices to optimize next generation technology in the mid-revenue cycle including four specific C-suite questions health executives must ask for all upcoming 2024 AI initiatives.
From assessing organizational readiness to engaging the right strategic partners, e4health executives share proven strategies to build consistency, value, and quality across the revenue cycle continuum using AI.
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AI addresses some of mid-revenue cycle’s biggest pain points – while increasing revenue capture and boosting staff productivity. But proceeding with caution is still necessary. This executive brief cuts through the hype and provides best practices to ensure AI delivers on its promises.