Down the Rabbit Hole: Why Patient Access is Your Missing Revenue Cycle Lever

"You're mad, bonkers, completely off your head. But I'll tell you a secret. All the best people are." — The Mad Hatter

I'm of the persuasion that literature is as helpful as science. It trains our imaginations in ways data cannot, and allows us to understand what it feels like to be human in particular circumstances. A physician who's read Tolstoy may become a better diagnostician not because they learned more biochemistry, but because they sat in moments with people of interior lives unlike their own. Serving in healthcare is this paradox embodied: caring for a person is entirely science and yet, impossibly human. That can make it feel crazy. Which means the people excited to show up and serve every day, well, they're the best people.

The journey from a patient needing care to the moment money is collected takes many twists and turns. It is as Alice in Wonderland as it gets, a fantastical, disorienting world. No comment on who the Queen of Hearts might be. Most organizations have a well-honed strategy for the back half of that journey: authorize, clear, code, capture, collect, remit, reimburse. Few manage their access strategies with the same clarity. Yet for any of that to happen, the patient must first choose you. There's a big part of the story before the back half arrives. Rather than waiting on patients to fall down the rabbit hole, leaders are starting to see access as an indispensable part of their revenue cycle strategy and the patient journey, finding key levers that drive financial and patient experience performance upstream from where they traditionally looked.

So many things are possible.

"So many things are possible, so long as you don't know they are impossible." — Norton Juster

The frustration of slow change and skepticism of new technology is earned. But leaders exploring disciplined, unified patient access as a revenue cycle lever are finding that meaningful change is possible with the right perspective.

Charge capture begins the moment a patient tries to access care. If referrals leak out of network or scheduling breaks down, there is no charge to capture. This is the fundamental gap most revenue cycle strategies miss: back-end functions get rigorous accountability while the front end operates with fragmented tools and limited visibility.

Advanced platforms are closing that gap, unifying capacity planning, self-scheduling, referral management, and provider data across multiple EMRs into a single orchestration layer. Health systems now have enterprise-wide visibility into exactly where revenue is being lost: which referral sources leak, which specialties have untapped capacity, where demographic collection and prior authorization break down upstream. AI and machine learning accelerate this further. Leaders can interrogate enterprise data in natural language, evaluate recommendations, and act without waiting on BI teams. The model compounds in value over time, getting smarter with every referral, every scheduling decision, every collection. Increasing utilization, alignment of acuity within demand to the right capacity, and knowing sooner what to fix in capture all directly improve upfront collections, reduce denials, and drive better utilization across the network.

You'll move mountains.

"You'll move mountains." — Dr. Seuss

Most leaders I spend time with are under incredible pressure with no shortage of demands. Unifying access and revenue cycle into a cohesive strategy can feel like standing at the foot of a mountain. But mountains are climbed the same way every time: one foot in front of the other. The question is what it costs the organization not to unify these strategies.

A few steps to take:

1. Spoken alignment on the leadership team. Many unification challenges have nothing to do with technology. Leaders carry unspoken beliefs and walk out of rooms assuming alignment that never materializes. Clarity on strategy, goals, and incentives upfront reduces the operational tax downstream. The cost of skipping it is time spent navigating instead of achieving.

2. Pick the few outcomes that matter and say no to the rest. Define 2–3 measurable access outcomes (leakage reduction, time-to-appointment, acuity-to-capacity optimization) and explicitly deprioritize anything that doesn't move those needles.

3. Elevate the operating model to cross-functional, real-time collaboration. Enterprise data should be at leaders' fingertips, investigable in natural language, actionable in the moment. If surfacing an insight requires a ticket, a four-week wait, and a game of telephone, leaders are not enabled to achieve. Access, Ambulatory, Service Lines, RCM, Contact Center, and IT see, work, and act together with clear decision rights.

4. Use AI to drive insights, feedback loops, and automated action. The best AI use cases find what you can't see, build operating models that continuously improve, and handle actions that don't require human judgment, freeing leaders to focus on the consequential.

You can climb mountains. It is possible, so long as you don't know it is impossible. And all the best people are a little bonkers. For those who are, we are grateful you show up every day.

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