How Transparency and Data Build Buy-In for RCM Decisions with Keisha Downes | Podcast Shorts from ArceeHQ

In this clip

Keisha Downes describes radical transparency as the leadership principle she returns to most at Beth Israel Lahey Health, consistently explaining the why and the intent behind decisions, including organizational changes that directly affect her teams. She pairs that transparency with a commitment to leading with data, ensuring that every decision about where to invest, restructure, or redirect comes with visible evidence showing where the opportunities and concerns lie, and leaving space for the feedback that helps leaders refine their direction.

Key Takeaway

Radical transparency in revenue cycle leadership means explaining the why and the data behind every significant decision rather than just the outcome, so teams understand the reasoning, can ask questions, and feel genuinely included in the direction of change.

“I don’t like my teams to not understand the why, the intent behind some of the decisions that are being made. And everyone wants to know how these decisions impact them.”
Keisha Downes, Vice President of Middle Revenue Cycle, Beth Israel Lahey Health

Leadership

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Keisha Downes

Season 2 · Episode 3 · 34 min

Data-Driven Prioritization, Responsible AI, and Operational Transparency in Revenue Cycle Leadership with Keisha Downes

Keisha Downes · Vice President of Middle Revenue Cycle, Beth Israel Lahey Health

Keisha Downes shares how data-driven prioritization shapes middle revenue cycle strategy across a multi-hospital system, from setting the roadmap to selecting and implementing AI tools. Drawing from her experience at Beth Israel Lahey Health, she walks through a clinical documentation integrity initiative involving a third-party AI tool that scrubs 100% of inpatient encounters, the lesson of starting small rather than over-relying on probability-based technology, and how case mix index serves as the key metric for tracking impact. The conversation covers her view of the path from reactive to proactive denial management through agentic AI, the AI governance framework her organization uses to evaluate vendors and prevent tool sprawl, and her daily practice of monitoring the candidate-for-billing report to clear barriers before they affect AR targets. Keisha also shares her leadership philosophy of radical transparency, her advice to not let perfection be the enemy of good, and how cultivating curiosity in emerging leaders shapes the future of the profession.

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