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Pulse-MD Urgent Care cut missed calls from 26% to zero in 30 days

Pulse-MD was missing 1 in 4 calls until Hello Patient's AI agent started answering them all. In month one, the agent handled 4,886 patient interactions and returned 5+ weeks of staff time.
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Pulse-MD Urgent Care cut missed calls from 26% to zero in 30 days

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June 10, 2026

Highlights

  • 4,886 patient interactions handled in month one
  • 0 dropped, abandoned, or missed calls. Down from 26% missed.
  • Full EHR-integrated scheduling
  • 30% containment rate. Hit target in the first month.
  • 208 staff hours saved in a month. Over 5 weeks of an FTE.

About Pulse-MD

Pulse-MD is a multi-location urgent care provider serving patients across New York. In urgent care, every inbound call carries real clinical weight. Patients are calling about same-day symptoms, injuries, and time-sensitive concerns where delay isn't an option.

Executive Summary

In early 2026, Pulse-MD's team looked at their inbound call data and didn't like what they saw. Across 69,379 calls network-wide, 23% of patients hung up before being answered, over 16,000 abandoned calls. At their worst-performing line, only 7% of calls were getting picked up.

After partnering with Hello Patient and rolling out an AI agent built for medical practices, Pulse-MD eliminated missed calls entirely in the first 30 days. The agent handled 4,886 patient interactions, contained 30% of calls end-to-end without staff involvement, and returned 208 hours of capacity to the front-desk team.

The Challenge

Faisal Ashraf, Chief Operations Officer at Pulse-MD, knew the front-desk team was working hard and still falling behind. Urgent care call volume comes in spikes, and even well-staffed lines couldn't catch every call when volume peaked.

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The data made the gap impossible to ignore:

  • 69,379 inbound calls across the network
  • 23% abandonment rate, 16,028 patients hung up before reaching anyone
  • 26% missed call rate, 18,086 calls never answered
  • Worst-performing line: 7% answer rate (93% of patients calling that line never reached the practice)
  • Network-wide answer rate of just 73%

For an urgent care group, this is a clinical and revenue problem as much as it was an operations problem. Pulse-MD needed a solution that could answer every inbound call instantly regardless of volume or time of day, handle the most common urgent care inquiries (locations, wait times, services, scheduling), resolve routine questions end-to-end without needing a human, roll out quickly across all locations, and maintain the warm, clinical-grade patient experience Pulse-MD is known for.

Why Hello Patient

Pulse-MD evaluated several voice AI solutions. Three things made Hello Patient the clear choice.

1. Clinical-grade voice quality


The product test made the decision in minutes. Low latency, natural intonation, no awkward pauses.

2. Speed of deployment
Hello Patient delivered a functional prototype in weeks, not months. Full deployment followed shortly after, at a fraction of the implementation cost and timeline of competing solutions.

3. Genuine partnership
Beyond the product, Pulse-MD pointed to how closely the Hello Patient team worked with them through launch and the weeks that followed.

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The Impact

Results in month one exceeded what Pulse-MD expected from any voice automation solution. Where 1 in 4 patients used to hang up before reaching the practice, every patient now reaches the agent instantly. The network's answer rate went from 73% before go-live to 100% in the first 30 days, the worst-performing line went from a 7% answer rate to 100%, and the 16,028 callers a month who used to hang up before reaching anyone dropped to zero. No hold times and no rollovers.

In late June, Pulse-MD turned on Hello Patient web chat on their website, so patients now get the same fast answer whether they call or type. The chat answers patient questions about services, hours, locations, and cost, and routes anything it shouldn't handle to the right place.

Three operational shifts Pulse-MD observed in 30 days:

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Beyond the numbers, Pulse-MD saw the change in two places, the patient experience and how the front-desk team spent its day.

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What's Next?

Pulse-MD continues to see containment climb week over week as the agent learns more workflows and edge cases. Web chat on their website, powered by Hello Patient, went live in June 2026, giving patients the same fast and helpful answers they need. The team is now exploring more use cases, including proactive outbound outreach and waitlist management.

For urgent care and same-day care providers looking to eliminate missed calls and recover staff capacity, Pulse-MD's first 30 days with Hello Patient offer a clear blueprint. In urgent care, response time defines patient care quality, and the agent makes it instant.

Methodology: Results measured across Pulse-MD's first 30 days of the agent's deployment, April 1 – April 30, 2026, across 4 urgent care locations. All call-volume baselines are drawn from Pulse-MD's pre-deployment call data.

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How does an AI receptionist work for multi-location urgent care?

Hello Patient builds agents that handle all phones 24/7, across locations. A Monday-morning rush at three sites never overflows to voicemail. The agent answers across voice, text, and web chat, tells patients the wait, hours, services, and the insurance you take at each location, books an open same-day slot on the spot, and routes anything clinical or out of scope to a real person with the full context attached. It works around the clock and logs every call.

Our case study with Pulse-MD showed how the AI agent we built for them cut the network's missed-call rate from 26% to zero in the first 30 days, across four locations, without adding front-desk staff.

Why do urgent care clinics miss so many calls during peak hours?

Because the walk-in line and the phone spike at the same moment, and it's usually the same staff working both. The lobby fills on a Monday morning or the week after a holiday, the phone lights up at the same time, and the front desk picks the patient at the window while the call rolls to voicemail. Hello Patient was built for that exact collision. Its agents answer every call in parallel, so a spike in volume stops turning into a missed call while your team stays with the patient at the counter. All of those missed calls could be same-day patients with a fever or an injury who otherwise dial the next urgent care or head to the ER.

One urgent care network we work with was missing roughly 1 in 4 calls before going live, and saw that gap close to zero in a month.

How does an AI agent answer patient calls at an urgent care clinic?

Hello Patient's agent picks up the moment the phone rings, on the first call, so nothing rolls to voicemail during a rush. It greets the patient, answers what they actually called to ask (the wait, the hours, which services a location offers, whether their insurance is taken), and books an open same-day slot into your EHR while the patient is still on the line.

When a patient needs something the agent shouldn't handle, like a clinical question or a situation outside its scope, it takes down what they said and routes the call to a real person with that context attached. It speaks in plain back and forth, not a phone-tree menu, and it works the same way at every location and every hour. Your team sets the rules it follows, and it logs every call for review.

How does a front desk AI cover calls after hours and during overflow for an urgent care group?

AI agents Hello Patient builds cover the hours your team can't and the overflow when every line is already ringing. The phones start well before the doors open and keep going after they close, and those callers are same-day patients deciding where to go. On those calls the agent answers the patient's questions, books the visit if a slot is open, or takes a structured message and routes it where your team will see it, as a voicemail, a ticket in your tools, or a handoff to your answering service. Nothing sits in a blinking voicemail box overnight. The next shift starts with a clear picture of who called and what they needed.

How is an AI receptionist different from an answering service for urgent care?

An answering service takes a message and a human calls the patient back later, which for a same-day patient often means they've already gone somewhere else by the time the phone rings again. Hello Patient's agent answers in the moment and finishes the job on the call, booking the visit, telling the patient the wait, hours, and services, and answering the insurance questions a caller actually asks, across both the phone and web chat. It routes to a person only when the call genuinely needs one, like a clinical question or a situation outside its scope. An answering service is a slower relay that happens after the fact. The agent is a front desk that picks up every time and books the patient before they hang up.

What happens when a patient asks something clinical?

The agent never gives medical advice. Hello Patient builds agents that recognize a clinical call the moment it turns into one, whether that's a question about symptom severity, a fall that might be a fracture and need an X-ray, or a patient asking whether to come in or head to the ER. When that happens, it captures what the patient said and escalates to a real person on your team, or directs the patient per the protocols you set.

What an agent handles itself is the administrative side around the call, like booking the visit, giving directions and hours, and saying what services a location offers. Your team draws the line between what the agent answers and what a clinician handles, and it works to that line on every call, on a HIPAA-compliant floor.

What ROI can a multi-location urgent care expect from an AI phone agent?

Hello Patient's agent moves three numbers an operator can pull straight from their own call data.

The first is missed-call rate, because in urgent care every missed call is a same-day patient who went to a competitor or the ER, so it reads directly as lost revenue.

The second is containment, the share of calls the agent finishes on its own without a human.

The third is front-desk hours returned, the time the team gets back for the patients in the building.

Our case study with Pulse-MD showed the missed-call rate go from 26% to 0%, containment at 30%, and 208 hours returned across four locations in the first 30 days, more than five weeks of a full-time employee handed back to the front desk.

Does an AI agent work with your urgent care EHR?

Hello Patient's agent works with the EHR and practice-management systems urgent care groups already run on, including ModMed, athenahealth, eClinicalWorks, and Veradigm. It books, reschedules, and cancels appointments, creates patient records, and leaves notes in the system your staff already work in, then surfaces analytics by location so a multi-site operator can see each clinic's call volume in one place. The agent runs alongside your existing phone setup rather than replacing it. And for a group mid-acquisition, where one site is on one system and a newly bought location is on another, it can give patients one consistent experience across both while the back-end stacks consolidate on your timeline.

Is an AI receptionist HIPAA compliant for urgent care?

Hello Patient is HIPAA-compliant, SOC 2 Type 2 certified, and signs a BAA with every client. The agent runs on the protocols and escalation rules your team approves, handles patient information under your policies, and logs every interaction so there's a record of every call. Clinical questions and anything outside its scope go to the right person on your team rather than getting answered by the agent. For a multi-location group that means the same compliance floor and the same escalation behavior at every site, on every call.

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