Podcast Short 2:23 January 29, 2026From Season 1, Episode 6

Pragmatic AI Adoption for Revenue Cycle Leaders

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David Kelly·Chief of Ambulatory Operations & Vice President of Revenue Cycle, Mary Rutan Health
In this clip

David Kelly frames AI adoption in revenue cycle as operationally necessary given ongoing talent and labor gaps, but cautions that a meaningful share of vendor claims has proven to be hype. His own organization entered a claims denial management development partnership focused on fighting payer DRG takebacks, requiring InfoSec and compliance sign-off and negotiating a 12-month development timeline after the vendor originally proposed six. His guidance: go in with eyes open, work with proven or rigorously vetted partners, and accept that implementation always takes longer than projected.

Key Takeaway

AI adoption in revenue cycle is increasingly non-negotiable given labor constraints, but vendor selection must be disciplined. Structured contracts, realistic development timelines, and compliance vetting protect organizations from both the risk of hype and the cost of standing still.

“You cannot be an ostrich on this and you cannot just do nothing.”

David Kelly, Chief of Ambulatory Operations & Vice President of Revenue Cycle, Mary Rutan Health

InnovationAgentic AIClaims Denial Management
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David Kelly
Season 1 · Episode 6 · 47 min

From Denials to Patient Financing: The Path to a Touchless Revenue Cycle

David Kelly · Chief of Ambulatory Operations & Vice President of Revenue Cycle, Mary Rutan Health

David Kelly shares a community-hospital perspective on how revenue cycle leaders can balance patient engagement, financial sustainability, and operational discipline in an increasingly constrained healthcare environment. Drawing on his dual responsibility for ambulatory operations and revenue cycle performance, he explains why patient trust, eligibility accuracy, and front-end execution have become foundational to long-term RCM success. The conversation explores how denial prevention, patient financing, and financial assistance programs fit into a broader strategy focused on yield rather than volume. David discusses why eligibility has overtaken claim submission as the most critical revenue cycle transaction, how resource constraints force difficult prioritization decisions, and why some patient-facing initiatives must be sequenced carefully despite their clear value. David also walks through a zero-balance review initiative that delivered meaningful recovered revenue by partnering with a specialized vendor, highlighting lessons in vendor selection, implementation complexity, and performance measurement. He closes with a pragmatic view on AI and automation in RCM, emphasizing cautious adoption, realistic timelines, and leadership grounded in transparency, trust, and mission alignment for independent community hospitals.

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