Best Healthcare Answering Service: 7 Options for 2027

Key Takeaways

The best healthcare answering service for most small practices is the one that signs a business associate agreement (BAA) in writing and completes the call, such as booking, rescheduling or routing a refill, instead of passing a message along. A healthcare answering service is a phone or text service that answers patient calls for a medical practice under a HIPAA business associate agreement and handles scheduling, message-taking or triage. This guide compares seven options using the public pages we opened on November 13, 2026, and it marks where each vendor's public material stops short.

• Start with the contract. Hello Patient says it signs a BAA on every account, while the human-staffed services we checked describe HIPAA compliance without mentioning a BAA.

• If your EHR is ModMed, athenahealth or eClinicalWorks, Hello Patient is the strongest documented fit on this list, in our reading.

• If you need a live person overnight, shortlist AnswerForce or AnswerConnect and get a BAA in writing before any patient information moves.

• Only Smith.ai, OhMD and Retell AI publish dollar figures. The other four are quote-based, so get a written quote before you budget.

• US Tech Automations does not answer phones in this comparison. It fits as a proposed workflow layer for messages and callbacks, with a human approving each step.

Who this is for

This guide is for owners and operations leads at small healthcare practices who answer their own phones today, are close to choosing a vendor, and need calls to end in a booking, a refill or a callback rather than a stack of messages. It fits best where the phone drives new-patient intake or after-hours coverage. It fits less well where every call needs a clinician's judgment, because none of the options here replaces clinical triage.

Red flags: a "HIPAA-compliant" label with no BAA offered in writing, no named route into your scheduling or EHR system, and no price range or written quote before a sales call.

How we evaluated these tools

This is an informed buyer's guide built from public information, not from calls placed or trials run. We weighted seven criteria around what breaks in a small practice: contract protection first, then whether the service can write into the schedule, then whether it completes tasks. The weights are our own analysis rather than vendor data, so treat the table as a checklist for your own vendor calls.

Contract terms carry the most weight because the rule sets them, not the marketing. Under 45 CFR 164.504(e), a business associate contract must require safeguards for electronic patient information, reporting of uses or disclosures outside the contract, flow-down to subcontractors, and return or destruction of the information at termination. The notice clock is also set by rule: Breach notice deadline: 60 calendar days according to Cornell Law School (2026). The business associate must notify the covered entity without unreasonable delay, and never later than that outer limit.

Why the category comes first

Pick the category before the brand, because three models compete for the same phone calls. Human-staffed answering services take the call and relay it. AI front-desk platforms answer, book and triage inside or alongside the scheduling system. Self-built voice stacks give you the most control and also the most ownership of compliance and maintenance.

The demand signal points toward scheduling. AI focus area: scheduling at 31% according to MGMA (2026), with calls at 27% in the same February 2026 poll. Adoption is broader: 68% of medical groups reported adding or expanding AI tools in 2025, according to MGMA (2025).

A warning from trade press matters for the category choice. In an October 6, 2026 analysis, Medical Economics argues that AI phone agents fail when they talk instead of acting, or when they lack connections to scheduling and the EHR. Judge any AI option on whether it finishes the task, not on how natural it sounds.

Here is a practical rule. If most calls are routine bookings and refills, an AI front desk that writes into your schedule fits. If the urgent need is a live person overnight who can take a message and page the on-call clinician, a human service fits. Many small practices end up hybrid: AI for routine calls in business hours, and a human service after hours.

Feature matrix at a glance

The matrix uses only what the pages we opened say. "Not stated" means the page did not say it, which is a question to ask in writing, not a no.

Vendor profiles

Hello Patient

Best fit: Practices on ModMed, athenahealth or eClinicalWorks that want an AI receptionist to book, reschedule and take refill requests by phone, text and web chat. The page says the agent reads the real schedule to offer open slots, which is the write-back test in the criteria above.

Limitations: No dollar figures are published. Hello Patient says it "prices the agent to your practice, so there's no single sticker number." It answers insurance questions but does not verify coverage.

Implementation: Confirm the named EHR connection and the fields it writes before signing, and ask who maintains the call flows after launch. The page describes routing clinical, urgent or sensitive calls to staff with a summary of the conversation.

Evidence: Hello Patient's AI receptionist page states that Hello Patient is "HIPAA-compliant, SOC 2 Type 2 certified, and signs a Business Associate Agreement on every account."

Assort Health

Best fit: Specialty practices, especially on Athena, that want an AI voice agent for inbound and outbound calls, self-service booking and after-hours coverage. The homepage names Athena and claims deep integration across 15+ platforms.

Limitations: No public prices appear; the homepage routes buyers to a demo. The homepage we opened does not mention HIPAA or a BAA. The guide we cite below is Assort's own content, and it ranks Assort first among the options it discusses.

Implementation: The guide says, "A signed BAA creates liability but implements nothing," and lists what to request: a risk analysis, a subprocessor list with flow-down BAAs, audit log retention, and a live demo of role-based access. Its go-live claim is 30 to 45 days, according to Assort Health (2026), against what it calls an industry-standard 3 to 6 months.

OhMD

Best fit: Practices that want texting, voicemail transcription and AI calling in one tool, with a published tier for each step.

Limitations: Calling usage is billed separately on the AI & Automation tier and on Enterprise, and the comparison table lists a BAA without tying it to a specific tier.

Implementation: Ask for the BAA that covers the tier you buy, and confirm which tier includes the AI voice agent. The AI & Automation tier lists appointment scheduling, routing and customized automated workflows, so those are the items to test first.

Evidence: OhMD's pricing page.

Smith.ai

Best fit: Practices whose calls are mostly general reception, such as transfers and messages, and that want published monthly tiers. Its industry lists do not include healthcare.

Limitations: The pricing page says nothing about HIPAA or a BAA. Extra calls are charged per call, so call volume drives the bill.

Implementation: Ask whether the service will follow your clinical scripts, and whether it will sign a BAA before any patient information moves.

Evidence: Smith.ai's pricing page.

AnswerConnect

Best fit: Practices that want live virtual receptionists around the clock and can accept message-taking without writing into the EHR. The healthcare page describes a team of virtual receptionists 24 hours a day.

Limitations: The page treats HIPAA as a setting. In its words, "with HIPAA-compliance enabled, you won't be able to activate our call recordings feature." No BAA or EHR name appears on the page, and plans are minute-based with no dollar figures shown.

Implementation: Decide whether you can work without call recordings, get the BAA in writing, and confirm how messages reach your team.

Evidence: AnswerConnect's healthcare page.

AnswerForce

Best fit: Practices that need live English and Spanish receptionists who can book consult slots on a calendar and capture intake details.

Limitations: The healthcare page says, "Yes, we are fully HIPAA compliant," but it does not mention a BAA. Prices are not published, and the "See Prices" buttons lead to a registration page.

Implementation: Confirm the calendar sync and the rule on patient information. The page says patient information is used only to help book appointments or within messages to your team. The page claims 95% of calls are answered in four rings or fewer, according to AnswerForce (2026). That is a vendor claim we did not verify.

Evidence: AnswerForce's healthcare page.

Retell AI

Best fit: Practices with technical staff, or an agency, that will build and own the call flows. Its pay-as-you-go plan is self-serve rather than a staffed service.

Limitations: The pricing page has a "HIPAA / BAA" row and a "Custom BAA" row, but the text we could read does not show which plan carries them. It is a platform you configure, not a staffed answering service.

Implementation: Get written confirmation from Retell that a BAA is available on your plan before any patient information flows, then own escalation, logs and testing.

Evidence: Retell AI's pricing page.

What the prices show

Pricing checked November 13, 2026. Only three of the seven vendors publish dollar figures, and each figure below is a list price from that vendor's own pricing page, not a total cost of ownership.

Smith.ai publishes three monthly plans, and the entry plan has the smallest included volume: Starter plan: $300 per month for 30 calls according to Smith.ai (2026). Basic costs $810 for 90 calls, and Pro costs $2,100 for 300 calls; extra calls cost $11.50, $10.50 and $8.50 on those three plans respectively.

OhMD lists two paid tiers with starting prices: Core starts at $300 per month, and AI & Automation starts at $500 per month, according to OhMD (2026). Calling usage is billed separately on AI & Automation.

Retell AI lists its pay-as-you-go plan with Pay-as-you-go rate: $0.07 to $0.31 per minute according to Retell AI (2026), plus $10 in free credits. Its Enterprise tier is quoted on request.

Hello Patient, Assort Health, AnswerForce and AnswerConnect are quote-based on the pages we opened. The table below puts the published figures side by side.

The illustrative month below assumes 120 calls and, for per-minute pricing, an average call of 4 minutes. It is arithmetic on the published figures, not a forecast for any practice.

A worked example

Under the Basic plan on Smith.ai, the first 90 calls cost $810 according to Smith.ai (2026), and each extra call costs $10.50, so an illustrative practice with 120 calls pays $315 for the 30 extra calls and $1,125 for the month ($810 + $315). A proposed Flow A, described below, could log each message's callback details by calling spreadsheets.values/append, which Google's Sheets reference describes as adding values below the last row of a table in a range, so the queue grows with each message. Before that step runs, confirm that your Google Workspace terms cover the patient data in the sheet, and keep a staff review on every row before a callback goes out.

Where the message backlog hurts: a proposed workflow

US Tech Automations builds and supports custom automation workflows. The homepage we opened names Gmail, Google Calendar, Google Sheets, HubSpot and QuickBooks among its integrations, plus "and more." That homepage makes no healthcare or HIPAA statement, so the two flows below are a proposed, configurable design, not a live deployment or a measured result. Three prerequisites come first: a BAA from every system that will hold patient information, an export or email-forwarding path from your answering service, and a written list of what counts as urgent.

Flow A turns after-hours messages into a callback queue. The trigger is a message-taking email from the answering service landing in a shared inbox. The workflow reads the message for caller name, callback number, reason and any urgent keyword on a list your clinicians approved, then writes routine messages into a callback sheet as new rows. Urgent keywords route to the on-call clinician through an escalation rule, with no automated reply to the caller. The human review points are that a staff member approves each callback before it goes out, and that a clinician approves the urgent-keyword list before go-live and after every change.

Flow B handles new-patient requests that the answering service captures. The trigger is an export or webhook from that service, which is a prerequisite to confirm, because the vendor pages we opened name few or no integrations. The workflow creates a task for the front-desk owner and a CRM contact holding only the callback number, the requested visit type and the consent language your practice approves. Diagnoses and clinical notes stay out of the CRM. The output is a task with a due time. A front-desk staff member confirms the appointment in the schedule itself, not in the CRM, and any CRM you use needs its own BAA review before patient data goes in.

Zapier, Make, n8n or an in-house build

Many practices weigh stitching these flows together in Zapier, Make or n8n, or building them in-house. Those tools can support run histories, retries, error branches and audit evidence when they are configured that way. The buyer still owns observability, idempotency (so a retried run does not create a duplicate callback), escalation paths, access controls and ongoing maintenance, and that work does not end at launch. A proposed US Tech Automations design would configure the same pieces as a managed build with testing and ongoing support, which shifts build and support work to the vendor. The BAAs, the export and the approvals still sit with your practice.

Decision checklist before you sign

1. Get a signed BAA that names every service touching messages, recordings and transcripts.

2. Ask for a subprocessor list. For AI vendors, include speech recognition, language models, text-to-speech and telephony.

3. Name the EHR or scheduling system the service writes into, and the specific fields it writes.

4. Ask what happens on an urgent or clinical call, and who receives the summary.

5. Get a written quote that shows overage, after-hours and minimum terms.

6. Confirm how patient information is returned or destroyed when the contract ends.

Common mistakes

• Treating "HIPAA-compliant" as a contract. A label does not create a BAA, and Assort's own guide warns that a signed BAA "creates liability but implements nothing."

• Buying on the entry price. In the illustrative month above, Smith.ai's Starter extra calls cost $1,035, more than the $300 plan itself.

• Assuming an AI booking agent will handle clinical calls. Escalation is a feature to test, not a default.

• Accepting a demo that only takes messages. Assort's guide sets the bar at "booked appointments and EHR tasks created, not messages relayed."

• Leaving recordings unresolved. AnswerConnect's page says its HIPAA setting turns off call recordings, so decide whether you need them before you turn that setting on.

Frequently asked questions

Does a healthcare answering service have to sign a business associate agreement?

Yes, if it creates, receives, maintains or transmits patient information for your practice, you need a written business associate contract or other written arrangement, and the required terms are set out in 45 CFR 164.504(e).

Is "HIPAA-compliant" the same as signing a BAA?

No. AnswerForce's healthcare page says it is fully HIPAA compliant but does not mention a BAA on the page we opened, so ask for the agreement itself before any patient information moves.

How much does a healthcare answering service cost?

Three of the seven publish plan prices, and those figures appear in the pricing section above. The other four are quote-based, so ask for a written quote that shows overage, after-hours and minimum terms.

Can an AI receptionist handle after-hours calls alone?

It can answer and book routine requests, but clinical, urgent or sensitive calls should reach a person. Hello Patient's page describes routing those calls to staff with a summary, so test that path before you rely on it.

Should we build this in Zapier, Make or n8n instead?

Build it yourself only if one person on staff will own the flows, logs, escalation rules and changes after launch. If nobody will own that work, a managed option from this list or a managed build takes more of it off your desk.

When should you not use US Tech Automations for this?

Skip US Tech Automations if you need live phone answering this week. AnswerConnect or AnswerForce put a person on the line, while the workflows above only act on messages after the call. Skip it if you need an AI receptionist to write into your EHR schedule, because Hello Patient and Assort Health are built around that job and a general workflow layer is not. Skip it too if you only need a calendar invite after a web form, since a native form connected to your calendar has fewer systems holding patient data.

Conclusion

For most small practices, the decision comes down to contract terms, schedule access and after-hours coverage, in that order. Start with Hello Patient if your EHR is on its list and get the BAA in writing. Start with AnswerConnect or AnswerForce if you need a human overnight. Treat a managed workflow layer as a support tool for messages and callbacks, not a replacement for the phone service itself. To see how the message and callback steps would be configured, see how US Tech Automations configures this, and keep a human approving each step.