Loren Jacome opened her talk at a patient experience conference a few weeks ago with a story about her partner.

Not a patient. Not a case study. Her partner, sitting in a doctor's office, needing one thing before anything clinical could matter. To feel seen. To feel understood.

Most of us in healthcare spent years defining access as a logistics problem. Can the patient get an appointment. Is there an open slot. Does the portal load.

Loren defines it somewhere else entirely.

"Access actually begins way before the patient even makes a choice to pick up the phone," she told me. It starts the moment a person sees themselves in your system. Recognized. Valued. Certain the place was built with them in mind.

She has a name for it. Community fit.

Here is what that reframe does to the way we measure.

For years I've argued that you're measuring satisfaction inside a system that was never built for trust. Community fit starts to get to the heart of why. Two patients can walk out of the same visit, hand you the same survey score, and mean two completely different things by it.

One felt known. One felt processed, and didn't have the language, or the trust, to tell you otherwise.

Same number. Different reality.

I call this Community Trust Fit. It's the Accessibility signal in the Trust Algorithm, read through the one lens most systems skip: representation. Accessibility isn't only reach. It's whether the person on the other end believes the system was built with them in mind before they ever engage it.

Loren put it plainly. Access "isn't just about proximity or availability. It's about relatability and representation."

 This is also where the money lives. The Deloitte Health Equity Institute puts the cost of health inequities at $320 billion a year in direct medical spending, on a path to exceed $1 trillion by 2040 if nothing changes. Those aren't abstract disparities. They're the compounding bill for care that never quite fit the community it was meant to serve. Missed follow-ups. Delayed diagnoses. Patients who quietly route around you to someone who feels like home.

You don't fix a $320 billion problem with a new scheduling vendor. You fix it by measuring whether different communities actually experience your system the same way. Most systems disaggregate their clinical outcomes. Almost none disaggregate their trust.

Then Loren moved the conversation from the front door to everything behind it.

"Continuity is everyone's responsibility," she said. "There's no such thing as my job is done here."

At Essen, she teaches teams to treat the handoff like passing a baton: precise, complete, and thoughtful. Every person asks what happens to this patient once my part ends.

"Your job isn't done until the next person can do theirs really well."

Treat that as an operating standard, not a nicety. Trust rarely erodes in the exam room. It erodes in the gaps between touchpoints, when a team fumbles the exchange of information internally and the patient feels it externally. The call that never comes. The record that arrives half-empty. The patient repeating their story for the fourth time to the fourth person.

Fragmentation is a tax. The patient pays it.

Then we talked about what happens when the system fails. Because sometimes it will.

Most recovery playbooks are built around what's convenient for the organization. Something breaks, we offer the next available slot. Three months out. We call it a resolution. The patient calls it a brush-off.

Loren reframes recovery as a fair exchange. She leans on organizational justice research, including the Shapiro work on how people judge fairness during breakdowns, which sorts recovery into three parts: the process itself, the way you speak to the person, and the actual trade you offer in return.

The question the patient is really asking, she said, is simple. "Is what you're offering me in return proportionate to what I've invested or lost?"

Treat that as a design constraint. Not what's easiest for us. What restores the balance. When someone has taken time off work, arranged childcare, and sat in your waiting room only to be told the visit can't happen, "we'll see you in three months" is not a fair trade. It's a second injury.

The organizations that turn failures into loyalty are the ones that stop and ask, in the moment, what would actually feel fair here.

I couldn't let Loren go without asking about AI, because every system I talk to is somewhere between excited and exhausted by it. Pilot fatigue is real. So is the pressure to show a return.

Loren's rule is simple. AI belongs where it can scale what already works.

"We take the best practices that are already in place," she said, the ones proven by clinical and operational leaders and validated by patients, "then we look at where AI can help us apply those practices more broadly, consistently, and at scale." Start with the practice. Add the technology second. Never the reverse.

Then she showed me the receipt.

Over twelve months, Essen grew its patient review volume by 445 percent and moved its average ratings from the low-to-mid three-star range to well above four. Every review gets a unique response, held to a clear standard for tone, empathy, and accountability. No two responses alike. AI carries the volume. The standard never drops.

That maps to the progression I teach as the 3A Framework: automate the repeatable, augment the human, amplify what already works. Essen didn't chase a shiny tool. They started with a standard and used AI to make it dependable at scale.

The technology scaled the work. The human standard never came out of it.

That's how you escape AI fatigue. Not by doing less of it. By being ruthlessly clear about what it's for.

So what do you do with this on Monday.

Start by disaggregating one thing you already collect. Take your access or experience data and cut it by the populations you actually serve: language, neighborhood, coverage type, whichever line you suspect divides your patients. If the same score means something different across those groups, you've found your first Community Trust Fit gap. And you found it for free.

Then audit one handoff. Follow a single patient's path across two touchpoints and ask Loren's question at the seam. Did we set the next person up to succeed, or did we hand off the baton and hope?

Neither move costs a dollar. Both will tell you more than your next survey cycle.

When you're ready to see the whole picture, do two things. Watch my full conversation with Loren in Episode 2 of the interview series. Then take the free Trust Algorithm Assessment to see where your five trust signals stand right now. It shows you where to look.

And when you want to know what those gaps mean and what to do about them, that's the work we do together with the full diagnostic.

 So, the question. You know your access numbers. Do you know whether every community you serve reads them the same way?

Let’s get to work,

Ebony