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An Hour Going Nowhere

Iโ€™m in San Francisco this week for a thought leadership workshop. Last night, a friend and I had dinner plans at a restaurant outside the city. We figured weโ€™d leave from the hotel, make the drive, catch up over a good meal.

An hour later, we were two blocks from the hotel.

Every road we turned onto was closed. Barricades. Weโ€™d reroute, hit another closure, reroute again. Iโ€™d just landed from a cross-country flight and was running on fumes. After an hour of going literally nowhere, we gave up. Went back to the hotel. Ordered room service.

The restaurant lost our reservation. We lost a night with a friend I hadnโ€™t seen in months.

What we didnโ€™t know was that Super Bowl fan activities had already started, and the Warriors had a home game that evening. The city was gridlocked and nobody told us.

I keep replaying it. What if the restaurant had the ability to know where we were coming from? What if they could pull local event data and shoot us a text earlier that day: โ€œHeads up, heavy traffic from your area tonight because of Super Bowl week and a Warriors game. Weโ€™d recommend leaving 90 minutes early or taking this alternate route. Want us to push your reservation back?โ€

We would have made dinner. They would have kept their revenue.

The restaurant didnโ€™t need to cook a better meal. They just needed to help us get there.

Iโ€™ve been thinking about this all day because itโ€™s exactly what happens to patients trying to navigate healthcare. Every day. At every health system in the country.

A patient calls to schedule a follow-up. The first number routes them to the wrong department. They wait on hold. Get transferred. Disconnected. They try the portal. Password expired. They reset it, the page times out. They call back. Different person. They explain everything again. Forty-five minutes in, theyโ€™re still at square one.

Already sick. Already tired. Already anxious. And after going nowhere for an hour, they do what my friend and I did Monday night. They give up.

Some just wait and hope whateverโ€™s bothering them gets better on its own. Some turn to ChatGPT for answers, and according to a 2024 Tebra survey, 71% of patients trust what they find. And some drive to the emergency room.

That last group is where accessibility failures become a financial crisis for the entire system.

NCQA research puts it bluntly: up to 60% of all emergency department visits are non-urgent and potentially avoidable. The average ER visit runs about $2,700. A primary care visit? Around $160. A virtual visit? Under $55. And a NEHI study found that 34% of pediatric ER patients received no treatment at all during their visit. None. Parents got advice and reassurance, and that was it.

A third of those families didnโ€™t need an emergency room. They needed someone to pick up the phone, tell them what to watch for, and get them scheduled for a follow-up. Like the restaurant that could have texted us a better route, these health systems didnโ€™t need better medicine. They needed better access.

Now imagine the proactive version. A patient calls once and gets stuck in the system. Within minutes, they receive a text: โ€œWe see you tried to reach us. Hereโ€™s a direct scheduling link, or reply YES and weโ€™ll call you back within 10 minutes.โ€ Thatโ€™s not science fiction. Thatโ€™s what AI-powered accessibility looks like when itโ€™s done right.

Intermountain Health figured this out. They found that 27% of all inbound patient inquiries happened outside traditional work hours. When they deployed AI-powered 24/7 access, call abandonment dropped 85%. Not because the technology was groundbreaking. Because patients could finally get through.

Last week, I introduced the Trust Algorithm: five operational signals that predict patient loyalty before surveys do. This week, we go deep on Signal #1.

Accessibility. It answers the most basic question a patient ever asks: โ€œWill you be there when I need you?โ€

What Accessibility Actually Means

Most health systems think accessibility means phone hours. Maybe a portal. Maybe a chatbot.

Thatโ€™s availability. Accessibility is different. You can be available 24/7 and still be impossible to reach if every channel dead-ends in a phone tree or a password reset loop.

Accessibility has three dimensions:

1. Channel Availability. Can patients reach you by phone, chat, portal, SMS, and app? Not just during business hours. At 2am when a new mother is scared. At 6am when a patient remembers a question they forgot to ask at discharge. On a Sunday when a billing statement doesnโ€™t make sense.

2. Escalation Paths. When AI canโ€™t solve it, can patients get to a human? Quickly? Without navigating a seven-layer IVR maze or telling their story three times? The most dangerous accessibility failure isnโ€™t a missing channel. Itโ€™s a missing escape hatch.

3. Language and Cultural Accommodation. Can patients communicate in their language? โ€œAccessibleโ€ looks different for a Spanish-speaking grandmother in South Texas than it does for a tech-savvy millennial in Seattle. Health inequities cost $320 billion annually, according to Deloitte, and accessibility gaps are a big part of that number.

Accessibility isnโ€™t a service metric. Itโ€™s a revenue metric. Every abandoned call represents potential revenue walking to a competitor. For a high-volume contact center, that adds up to $45,000 per day in lost opportunity (we broke this down in Issue #33). And every patient who canโ€™t reach you and drives to the ER instead? Thatโ€™s $2,500+ in system costs for a visit that might have been a phone call and an appointment confirmation. Now multiply that across the 60% of ER visits that are non-urgent.

The Proof: What Happens When You Get This Right

Two health systems stopped treating accessibility as a phone schedule and started treating it as infrastructure.

Intermountain Health deployed Hyroโ€™s AI-powered platform across their websites, mobile apps, and call centers. The results:

โ€ขย ย ย ย ย ย ย ย ย ย ย ย  85% reduction in call abandonment rates

โ€ขย ย ย ย ย ย ย ย ย ย ย ย  79% improvement in speed to answer

โ€ขย ย ย ย ย ย ย ย ย ย ย ย  27% of patient interactions now handled outside traditional hours

โ€ขย ย ย ย ย ย ย ย ย ย ย ย  79% of online chats resolved without agent involvement

โ€ขย ย ย ย ย ย ย ย ย ย ย ย  44% of repetitive calls automated, freeing agents for complex cases

As Craig Richardville, then Chief Digital and Information Officer at Intermountain Health, put it: โ€œWeโ€™ve experienced an 85% reduction in call abandonment and a 79% increase in speed to answer. This partnership is a game-changer for our patients and support teams.โ€

They didnโ€™t just extend hours. They made the system smart enough to resolve common issues (scheduling, password resets, prescription questions) around the clock. And when AI couldnโ€™t handle it, patients were routed to the right human with full context. No starting over. No explaining it twice.

Steinberg Diagnostic Medical Imaging implemented the Genesys Cloud platform with virtual agents integrated into their electronic medical records. The headline number is call abandonment dropping from 10% to 2.9%. But what matters more is what happened behind that number.

SDMI now supports an additional 4,000 calls per month, ensuring more people receive compassionate guidance to their questions and care without sacrificing quality. Patients gained 24/7 access to services, providing peace of mind and ensuring support is available outside traditional business hours. When youโ€™re waiting on diagnostic imaging results, anxiety doesnโ€™t clock out at 5pm. Having someone available at 9pm to walk you through next steps changes the entire experience.

As Rachel Papka, Chief Innovation Officer at SDMI, put it: โ€œTodayโ€™s phone systems are no longer just about connecting calls โ€“ theyโ€™re about connecting people.โ€

Thatโ€™s accessibility in one sentence. Not faster technology. Not more automation. Connection.

The Agentic AI Paradox

Most hospitals hear โ€œAI for accessibilityโ€ and jump straight to: โ€œLetโ€™s automate everything.โ€ They deploy a chatbot that handles 80% of interactions. Except itโ€™s the wrong 80%.

They automate the easy stuff (balance inquiries, appointment confirmations) while the complex, trust-building interactions (billing disputes, care coordination, post-discharge questions) still sit in a queue. Patients end up waiting longer for the calls that actually matter.

I call this the Agentic AI Paradox: most hospitals automate the wrong 80% of calls. Smart accessibility means AI handles routine inquiries while getting complex cases to humans faster, not slower.

The best implementations use agentic routing. The system identifies what the patient needs and sends them through the fastest path: end-to-end AI resolution for tasks like scheduling, the option to switch from a call to a text for self-service scenarios, and live agent handoff with full context for everything else.

Hyroโ€™s platform reports that agentic routing averages 85% less call abandonment across their health system clients. Not because AI replaced humans. Because it got patients to the right resource without the runaround.

Think about my San Francisco traffic experience. I didnโ€™t need a faster car. I needed someone to tell me which roads were open. Patients donโ€™t need more channels. They need channels that actually get them somewhere.

What This Means for You

If you have accountability for patient experience and revenue, accessibility is where those two things converge. Every abandoned call is revenue walking to a competitor. Every after-hours inquiry that goes unanswered is a patient forming their opinion about your system without your input. And every patient who canโ€™t get through and drives to the ER instead is costing your system $2,500+ for a visit that might have been a phone call and an appointment confirmation.

Accessibility is Trust Signal #1 for a reason. Resolution, Continuity, Proactivity, Recovery โ€“ they all require the patient to reach you first. If they canโ€™t get through the front door, nothing downstream matters.

Start here: audit your after-hours capabilities this week. What happens when a patient calls at 2am? If the answer is โ€œvoicemail,โ€ thatโ€™s a measurable revenue leak. Track abandonment rates by time of day. The pattern will show you exactly where trust is breaking down. And evaluate every technology investment through one lens: does this help patients reach us, or does it put up another wall between them and care?

Virtual agents that deflect calls arenโ€™t making you more accessible. Theyโ€™re building a barrier. The standard should be simple: patients can reach you on any channel, at any hour, in their language, with a clear path to a human when they need one.

The Quick Win

Before you commission a consulting engagement or deploy new technology, do two things:

1. Call your own contact center at 2am tonight.

What happens? Voicemail? IVR maze? AI assistant? Human? Nothing?

Then try your patient portal. Reset your password. Schedule an appointment. Check a lab result.

Time it. Document the friction. Note where you get stuck.

2. Pull your ER data for non-urgent visits.

How many of those patients had an existing relationship with your system? How many called your contact center or logged into the portal in the 24 hours before their ER visit? The overlap could tell you exactly how many ER visits your accessibility gaps are creating.

That combination reveals your Accessibility signal. And it costs nothing.

Score your organization across all five Trust Signals in about five minutes.

The Bottom Line

You already know trust drives margins. The 4.7% vs.ย 1.8% operating margin differential between high-performing and low-performing patient experience organizations is well documented.

Where does that trust start? With accessibility.

When a patient reaches out and youโ€™re not there, thatโ€™s not a missed call. Itโ€™s a trust withdrawal. And unlike a bank account, trust doesnโ€™t send you a statement showing your balance.

Next week: Trust Signal #2, RESOLUTION. Why your 85% First Contact Resolution rate might be a lie, and what happens when you start measuring patient-confirmed resolution instead of system-defined resolution.

Whatโ€™s your 2am experience like? Have you called your own system after hours? Hit reply and tell me what you found. I read every response.

Letโ€™s get to work.

โ€” Ebony

Ready to Go Deeper?

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Ready to run a full Accessibility Audit? Letโ€™s find out what your patients experience at 2am.

About Your Strategist

Ebony sitting at table talking on phone

My name is Ebony Langston, and I spent 20+ years leading sales and operations for Fortune 100 healthcare payers, driving millions in revenue growth by championing client-centric solutions. Today, I use that executive-level expertise, paired with my own personal experience navigating fragmented care, to position you as the visionary who can connect the dots between financial health, operational efficiency, and a truly human-centered patient experience.

I'm here to help you become a trusted partner for your patients.

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