Clinicians, often left unsupported, grapple with diverse reimbursement models. To empower them, we need modern solutions. Join our panel of experts in discussing technological trends and realistic opportunities to ease the burden on clinicians, fostering success in both alternative and traditional payment models.

In this webinar, we will:

• Explore the capabilities and limitations of artificial intelligence (AI), machine learning (ML) and natural language tools (NLP, NLU) in healthcare.
• Understand ACO unique data capabilities and opportunities for analytics
• Examine the extent to which automation can drive HCC recapture and identify new clinical conditions for providers to validate
• Evaluate points on the patient encounter journey where NLP-infused intelligence may augment notifications and queries processes

About Edifecs
With an end-to-end ecosystem that organizes stakeholders across all Alternative Payment models, Edifecs' technology lays the foundation for uniting financial and clinical worlds. With a mission to better understand patient needs, stratify them by risk, engage effectively, and track outcomes over time.

Speakers: Betty Stump and Jason Jobes, Edifecs

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