Questions? Answers.

Yes, our AI assistant sounds clear, warm and conversational. Try it out here.

We work with practices regardless of their EHR system. For direct integrations, we support FHIR and HL7 standards used by most modern platforms. For systems without API access, we can work with CSV exports or build custom solutions.

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If you are concerned about your system playing nice with Hello Patient, let’s chat.

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We've worked with customers who use all types of EHRs and CRMs:

• AdvancedMD
• athenahealth / athenaOne
• Customer.io
• eClinicalWorks
• HubSpot
• ModMed
• NextGen Healthcare
• Provet Cloud
• Salesforce
• Zenoti

Nope. There's no new software for you to learn. We integrate seamlessly to your existing workflows, and actually reduce your team’s workload.

We support English and Spanish, with additional languages available upon request.

The companies that benefit most from Mia's conversational AI for member activation and retention are consumer health, telehealth, digital health, and direct-to-consumer healthcare brands. These include prescription-based DTC telehealth (GLP-1, ED, hair, and hormone therapy companies), subscription mental health platforms, subscription-based virtual specialty care across women's health, PCOS, menopause, metabolic, and nutrition programs, at-home lab testing memberships, wearable and virtual coaching subscriptions, and supplement brands with a consult layer.

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Mia is Hello Patient's AI agent for voice, SMS, and web-chat conversations. She starts and handles real conversations across the moments where the member journey usually stalls, from unfinished quizzes and intake drop-off to activation, engagement, preventing churn, and re-engaging members who have gone quiet.

Mia improves conversions by answering the questions automation can't, such as cost, eligibility, dosing, ingredients, and scheduling. Mia sees where a member stopped in the funnel, answers the specific question that stalled them, and sends a personalized resume link into the same thread. Members do not reply to an automated message that doesn't feel relevant. They reply to a message that meets them where they actually are, whether that's stuck, unsure, or quiet for too long.

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Found Health saw a 140% lift in conversions versus their prior one-way SMS re-engagement, recovering 4,739 stalled signups across a 92,290-lead program over 16 months.

Mia can work alongside your existing marketing automation (such as Braze, Iterable, Klaviyo, and Customer.io) and also works without it. When you have a lifecycle stack, Mia plugs in via webhooks and your CDP, so the sequences you already run keep running. Mia adds the conversation layer around them, handling the moments those tools weren't designed to handle: the open-ended question, the silent member, the lapsed one who needs a real reply. When you don't have a lifecycle stack, Mia runs standalone — using your CRM, EHR, or member database directly to start and handle real conversations across SMS, voice, and web chat.

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Tools like Braze, Iterable, and Klaviyo are great at scheduled, pre-built sequences and have basic reactive features. They can't carry on a real conversation, ask follow-up questions, or pivot when a member asks something the script didn't anticipate. Mia handles those moments regardless of whether or not you have existing automations.

Mia follows the rules your team sets. She can answer approved questions about eligibility, program fit, next steps, and common member concerns. When a question falls outside those rules (dosing changes, side-effect concerns, prescription issues, or anything that needs clinical judgment), Mia escalates it to a real person on your team. Mia is HIPAA-compliant by design and operates under your BAA, never gives medical advice, and logs every interaction for review. Across consumer health programs, Mia can handle 70–80% of routine inbound questions on her own, so your team spends more time on other important workflows.

Most clients go live in about six weeks. Found Health went live in under three. Deployment doesn't require your engineering or IT teams. The first two weeks are protocol mapping and content tuning with your lifecycle, growth, and medical staff. The next two weeks are spent on establishing integrations with your CRM, EHR, and lifecycle stack, plus conversation testing. The last two weeks are pilot testing with real members, then going live across the funnel stages you care about. The actual timeline depends on protocol complexity, integrations, and how quickly your team can review and approve workflows. There's no new software to learn. Mia operates inside your existing workflow.

Mia is priced on a usage-based model that scales with conversation volume across SMS, voice, and web chat. What it actually costs depends on your funnel size, your inbound volume, and how much of your outbound program runs through Mia versus your existing workflows. Bring your funnel numbers to a call, and we'll model what Mia would cost for your specific program.

Yes. Mia is HIPAA-compliant by design and operates under your BAA. Mia uses your approved protocols, your knowledge base, and your escalation rules, and logs every interaction for review. When a question requires clinical judgment, Mia escalates it to the right person on your team.

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.

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.

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.

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.

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.

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.

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.

Privia Health Care Centers use Hello Patient's AI agents to handle patient conversations across voice, text, and web chat, inbound and outbound. Agents answer every call around the clock, book directly into athenaOne, run new-patient intake, answer insurance questions, handle billing and collections, and run recall and follow-up. Privia practices access this at a network discount.

Hello Patient builds agents that run every front-office and back-office workflow: answering every call, booking appointments, running new-patient intake, answering insurance questions, taking refill requests, handling billing and collections, following up after visits, converting referrals, and bringing patients back. When a conversation needs a human, the agent hands off with full context, never gives medical advice, and logs every interaction.

For Privia practices in value-based care, this recall and follow-up outreach ties to quality measures like HEDIS and CAHPS, and the care gaps that drive shared savings. Everything runs under your practice's HIPAA-compliant BAA.

Yes. Privia Health partnered with Hello Patient in 2026 as an approved third-party vendor. Hello Patient builds AI agents for healthcare, sometimes called an AI receptionist, that handle every patient conversation across front-office and back-office workflows such as answering calls, booking, intake, insurance questions, refills, follow-up, recall, and billing. Privia Care Centers access them at a network discount routed through their Privia contact.

Hello Patient is HIPAA-compliant, SOC 2 Type 2 certified, and signs a Business Associate Agreement with every practice. Privia Health practices book around 20% more appointments without adding staff.

Yes. Hello Patient has a native integration with athenahealth's EHR, athenaOne. Our agents read patient records and calendar data from athenaOne, and create new appointments, reschedules, cancellations, new patient accounts, and appointment notes in athenaOne. Practices that run on athenaOne can implement our AI agents without an IT lift on their end.

The integration covers the core athenaOne workflows that drive front-desk activity: real-time calendar reads for same-day booking, patient-record lookup for inbound call routing, creation of new patient accounts, write-back of new appointments, reschedules, and cancellations, and appointment-note logging for context the practice wants captured (such as a patient mentioning a change in coverage).

The agents also respect the appointment-slot rules practices configure in athenaOne, for example slots restricted to specific visit reasons or providers, including the configurations multi-state practices set up across their locations.

Practices on athenaOne can go live in six to eight weeks. The integration setup happens on Hello Patient's side.

Yes. Hello Patient is HIPAA-compliant, SOC 2 Type 2 certified, and signs a Business Associate Agreement with every practice, as HIPAA requires. Every patient conversation its AI agents handle is logged and encrypted. The agents never give medical advice, and clinical questions get escalated to your team.

The agents operate under your practice's BAA across every channel they run on: voice, text, and web chat. The audit log captures every conversation for compliance review. Hello Patient does not use Protected Health Information (PHI) to train AI models, and PHI stays inside Hello Patient's environment, used only to serve the practice that owns it.

Hello Patient's AI agents run outbound voice and text campaigns alongside inbound call handling, all from the same platform. For Privia Health practices, that means wellness recall, post-visit follow-up, annual wellness visit (AWV) outreach, lapsed-patient reactivation, and care-gap closure outreach run through the same agents that handle your inbound calls.

Outbound campaigns work from the patient target lists your practice supplies, based on the rules your team sets (last visit date, AWV due date, missed follow-up, and so on), and reach patients by voice or text. The agent handles the conversation end to end: confirming, booking, or routing to a human on your team when needed. For Privia practices, this outbound work supports value-based-care quality measures like HEDIS and CAHPS, and the care-gap closure tied to shared savings.

Pricing for Privia Health Care Centers is network-discounted, and the specifics run through Privia's own process. Hello Patient sizes pricing to each practice based on the number of locations, patient volume, and which services you turn on across inbound and outbound voice, text, and web chat.

To get started, reach out to your Privia contact, who routes the conversation and brings in Hello Patient to size pricing. The Privia Savings Guide carries the pricing details for Care Centers, so everything stays inside the process your practice already uses.

Hello Patient’s AI agents take six to eight weeks to implement at most Privia Health Care Centers. The first one to two weeks cover protocol mapping with your team. Weeks three to five cover athenaOne integration tuning and escalation-rule setup. The practice goes live in week six to eight. No IT lift required on your side.
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Hello Patient's implementation team handles the technical work: athenaOne integration setup, voice and text configuration, escalation-rule wiring, and conversation testing. Your team's role is protocol mapping in the first two weeks (what the agents handle on their own, what escalates to a human, when to route to your on-call) and review-and-approve cycles as new workflows go live. The six-to-eight-week timeline is Hello Patient's typical timeline for athenaOne practices, and the Privia partnership does not accelerate it. Rushing implementation surfaces issues that take longer to fix later than to prevent in the first place.

Hello Patient builds AI agents for primary care that handle a practice's patient conversations in both directions: the calls and texts coming in, and the follow-ups and recalls going out. Primary care carries the broadest call mix of any specialty, with refills, lab-result questions, sick visits, well visits, referrals, and billing all hitting the same line. An AI agent answers every one of those calls the moment it comes in, any day of the week, during or after hours, and when several patients call at once.

Your agent books and reschedules visits, takes refill requests, answers insurance questions, and answers billing questions. It also makes the outbound calls your front desk never finds time for, such as recalls, wellness-visit reminders, and follow-ups after visits. Anything clinical or complex, it routes to the right person on your team with the context attached.

For a primary care group, the outcome is the difference between a missed call that becomes a lost appointment and a patient who got an answer the first time they called. Practices that putHello Patient's agents on the phone book around 20% more appointments without adding staff.

An AI agent from HelloPatient takes refill requests by phone or text, verifies the patient, captures the medication and pharmacy details, and routes the request to the prescribing provider with everything attached. Refill volume is one of the heaviest, most repetitive loads a primary care front desk carries. One primary care group we've talked to fields 150 to 200 refill requests a day at a single location, and an AI receptionist takes that rules-based work off the team's plate.

The agent doesn't make the clinical call. It gathers the request cleanly, checks it against the rules your team sets, and hands the provider a complete, ready-to-act request instead of a voicemail to decode. Anything that needs a clinician's judgment goes straight to the right person with the context attached.

Booking is where most of the front-desk phone time goes, so it's where an AI agent earns its keep first.Your agent sees your calendar in real time and books sick visits, annual physicals, annual wellness visits, and follow-ups directly onto the schedule, following the provider rules and location hours your practice already runs by, including which visit types a given provider takes.

Because your agent answers routine calls in the moment, those requests never pile up as voicemails and callbacks the front desk has to clear later. For a primary care office that means fewer calls hitting the MA line while the MAs are in rooms, and fewer "I'll call you back" promises that turn into a backlog. The agent handles the call completely on its own when it can, and if it cannot, it routes to a human with the details already captured.

This is the line an AI receptionist has to get right, and your agent is built for it. When a patient calls about something clinical, like "my blood-pressure medication is making me dizzy," a worsening symptom, or anything that needs judgment, your agent never gives medical advice. It recognizes the call as clinical, captures what the patient said, and escalates to the right person on your team with the context attached, so your nurse or provider isn't starting from zero.

The split matters in primary care, where one call can blend the administrative and the clinical in the same breath. The agent handles the administrative side itself, such as scheduling, refills, directions, and billing questions, and hands off the clinical side the moment it appears. Your team sets exactly where that line sits during setup, and the agent works to it on every call.

Yes. Hello Patient's AI agents work with the EHRs primary care practices run on, with native integrations including athena health, eClinicalWorks, Veradigm, and ModMed. Your agent sees your live calendar and writes appointments back automatically, without your front desk doing anything on top, and it writes structured data into your EHR's fields rather than handing your staff a PDF to retype.

Your agent does more than read the calendar. It creates new patient records, cancels and reschedules existing appointments, and logs the call details with the visit, all inside theEHR your team already works in. If your practice runs a system that isn't on this list, ask us. Hello Patient also connects practices through its own API.

Yes, and recall is the half of the phone work most primary care practices can never get to. Somebody has to call the patients who are due, and the front desk is already underwater. Your agent makes those calls and texts from the patient lists your practice already keeps, such as annual wellness visits, chronic-care follow-ups, and overdue screenings. The agent answers the patient's questions and books the visit in the same conversation, and when patients stall or don't show up, it follows up and gets them back on the schedule.

For a primary care group, this is where quality measures live. AWV completion and care-gap closure only happen when someone actually reaches the patient. An outreach campaign and automated reminders can nudge your patients, but they don't see or solve the exact reasons your patients might be stalling. Your agent starts a real conversation and answers the exact questions your patients have, such as what the visit covers, timing, and costs. It finds a time that works and puts the appointment on the calendar before the thread ends.

Most primary care practices go live with Hello Patient in six to eight weeks. The work runs in three steps. First, protocol mapping with your team: what your agent handles on its own, what escalates, and to whom. Then integration and configuration against your EHR and your scheduling rules. Then go-live, with tuning that continues after launch.

There's no IT lift on your side and no new software for your staff to learn. The agent works alongside the systems you already run. We can go as fast as you go. Most of the timeline is your team's own review-and-approve cycles as each workflow turns on, and rushing past those surfaces problems that are far more expensive to fix than to prevent. The agent also gets sharper after launch as it learns your practice's protocols.

Yes. Hello Patient is HIPAA-compliant, SOC 2 Type 2 certified, and signs a BAA with every practice. That's the floor for any AI receptionist in healthcare, and it covers every channel your agent answers: voice, text, and web chat. Your agent never gives medical advice and logs every interaction for review.

An AI agent is not a clinical decision-maker and never improvises around crisis protocols. It's configured to err toward escalation, so when there's any doubt about whether a call qualifies as a crisis, the agent routes to a human. And the patient never has to repeat themselves. The full conversation context passes to the clinician who picks up, so the human handoff starts informed instead of cold.

Hello Patient builds AI agents for primary care that handle the practice's patient conversations, every call and text, inbound and outbound. On the front desk, your agent answers calls and texts, books and reschedules visits, runs new-patient intake, answers insurance and billing questions, and takes refill requests. On outbound, it calls and texts patients for recall, wellness-visit reminders, and post-visit follow-up. It also works the patient billing line: it answers billing calls, explains what insurance covered, and takes the payment over a secure link. Anything clinical or genuinely complex, it routes to the right person on your team with the full context attached. Practices that put one on the phones book around 20% more appointments without adding staff.

Your agent takes them off the phone and routes them clean. When a patient calls or texts for a refill, the agent from Hello Patient verifies who they are, captures the medication and the pharmacy, and hands the request to the prescribing provider with everything attached, so your team picks up a complete request instead of decoding a voicemail. It doesn't make the clinical call, and it doesn't touch the prescription itself. The provider still decides. What changes is that the refill work stops living as a stack of callbacks the front desk clears between everything else. It's one of several things your agent handles on the phones.

It books in the moment, on the call, instead of leaving a voicemail for someone to return later. Hello Patient's agent sees your calendar in real time and schedules sick visits, physicals, and follow-ups straight onto it, working from the provider rules and location hours your practice already runs by, including which visit types each provider takes. Because routine scheduling calls get answered when they come in, they stop piling up as a voicemail and callback backlog the front desk has to dig out of later. Fewer of those calls hit the MA line while the MAs are in rooms. When the agent can't finish a call on its own, it routes to a person with the details already captured.

It never gives medical advice. When a patient brings up something clinical, a worsening symptom or a question about how a medication is making them feel, Hello Patient's agent recognizes the call for what it is, captures what the patient said, and escalates to the right person on your team with that context attached, so your nurse or provider isn't starting cold. The administrative side of the same call, the scheduling, the refill request, the billing question, it handles itself. Your team draws the exact line between what the agent takes and what it escalates during setup, and it holds that line on every call. The hard ones reach a human; the routine ones get resolved.

It does. Hello Patient's agents run on the EHRs primary care practices already use, with native integrations including athenahealth, eClinicalWorks, Veradigm, and ModMed. Your agent sees your live calendar and writes appointments back into it, with no one on your front desk retyping anything. It writes structured data into your EHR fields instead of dropping a PDF for staff to re-key, creates new patient records, cancels and reschedules existing visits, and logs the call details with the right visit. Because it works inside the system your team already lives in, there's no second window to toggle to and nothing new for the front desk to learn.

Your agent calls and texts them, working from the lists your practice already keeps. Hello Patient's agent runs outbound recall for the patients who are due, annual wellness visits, chronic-care follow-ups, and overdue screenings, the outreach the front desk never gets to because the inbound line is already underwater. A reminder blast just pushes a notification out and hopes. Your agent actually talks with the patient, answers their questions about what the visit covers, timing, and cost, and books the appointment in the same call. When someone stalls or no-shows, it follows up and gets them back on the schedule. It's the outbound half of the same agent that answers your inbound calls.

Most primary care practices go live with Hello Patient in six to eight weeks. The work runs in three steps. First, protocol mapping with your team: what the agent handles on its own, what it escalates, and to whom. Then integration and configuration against your EHR and your scheduling rules. Then go-live, with tuning that keeps going after launch. There's no IT lift on your side and no new software for your staff to learn, since the agent works alongside the systems you already run. Most of the timeline is really your team's own review-and-approve cycle as each workflow turns on, so the practices that move fastest are the ones that review fastest. The agent gets sharper once it's live.

Yes. Hello Patient is HIPAA-compliant, SOC 2 Type 2 certified, and signs a BAA with every client. That covers every channel your agent answers: voice, text, and web chat. The agent never gives medical advice, logs every interaction for the record, and is built to err toward escalation, so when there's any doubt about whether a call needs a person, it routes to one. And the patient never repeats themselves at the handoff: the full conversation passes to the clinician who picks up, so your team starts informed instead of cold. The compliance floor is the same one your practice already has to meet.

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.

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.