Top 6 AI Phone Agents for Healthcare Practices

Each unanswered call at a medical practice is a patient who’ll simply dial the next clinic on their list. AI phone agents exist to fix that, picking up after hours, collecting intake details, and moving patients toward a booked appointment without hiring more staff. Six platforms stand out in 2026 for both small-to-mid-sized practices and health systems handling heavier call volume.  Why Healthcare Practices Need AI Phone Agents Right Now  Front desks can’t staff around the clock. Voicemail doesn’t book appointments. And patients who can’t reach a live person during evenings or weekends often don’t call back, they just find another provider.  The numbers make this concrete. A front desk that misses 30 calls a day, even at a modest conversion rate, can lose meaningful new-patient revenue every week. AI phone agents solve this by staying available when staff aren’t, capturing caller intent, and routing anything complex to a human.  HIPAA compliance requirements, EHR integrations, and the sensitivity of patient data mean that healthcare practices can’t just plug in a generic consumer voice bot. The platforms below were selected because they have documented experience in healthcare, regulated-industry compliance, or both.  1. Ubie Smart Support  Ubie Smart Support is an AI phone agent built for small and mid-sized medical practices: it answers missed and after-hours calls 24/7, captures caller details, and guides patients toward booking, all at a flat $850 per month.  Availability: 24/7 coverage on the practice’s existing phone number; calls forward to the agent only when missed, so no phone system change is needed.  Setup: Trained on the practice’s own website content, customizable at any time at no added cost, and requires no IT setup or staff training.  Workflow: Captures caller name and callback number; records urgency level and preferred contact time; works with multiple EHR and calendar systems; escalates to staff when a call needs a person.  Compliance and pricing: HIPAA compliant; 850permonth (1.16 per hour for around-the-clock coverage). Ubie reports that typical practices see a 30 to 40 percent reduction in missed calls in the first month, figures the company labels illustrative. Smart Support was qualified by Mayo Clinic Platform on 08/12/2026, following evaluation of intended use, proposed value, and clinical and algorithmic performance.  Dr. David Boguslavsky of PremierMD noted that “bookings started climbing and my front desk finally got room to breathe” from the day of setup. Solo neurologist Dr. Robin Warner said the agent “lets me focus on the things that matter.”  2. Dograh  Dograh is an open-source voice AI platform designed for regulated industries that need full data sovereignty: healthcare teams can self-host the entire stack, keeping calls, recordings, transcripts, and model inference entirely within their own infrastructure.  Availability: Self-hosted (BSD 2-Clause open-source license on GitHub), managed cloud, or private cloud within the user’s own VPC.  Setup: The open-source codebase lets security teams audit all code before deployment, eliminating reliance on third-party vendor audits. Dograh positions for HIPAA, GDPR, SOC 2, ISO 27001, and CCPA.  Workflow: Pluggable components for STT, LLM, TTS, and telephony; supports integration with OpenAI, Gemini, Groq, Azure, AWS, and others; speech-to-speech for real-time conversations; 70+ languages supported. Model Context Protocol (MCP) integration lets AI coding assistants like Claude Code and Cursor build and modify voice agents directly from an IDE.  Compliance and pricing: Self-hosted deployment is free; commercial managed tiers exist but specific pricing isn’t publicly listed.  Considerations: Configuration depth means meaningful setup work, best suited for teams with technical resources to manage the stack.  Dograh received Product of the Month recognition and was accepted into the NVIDIA Inception Program.  3. Hyro.ai  Hyro is a healthcare-focused AI agent platform founded at Cornell Tech that automates patient communications across voice, web, SMS, and patient portals: serving large health systems rather than individual practices.  Availability: Serves 45 large healthcare organizations, including Intermountain Healthcare, Bon Secours Mercy Health, Hackensack Meridian Health, Baptist Health, and Sutter Health.  Setup: The platform’s AI voice agents handle over 85% of routine patient inquiries; Hyro claims a 60x faster time-to-value compared to traditional virtual assistants because its generative AI requires no training data.  Workflow: Connects with Epic EMR and Salesforce; automates appointment scheduling, patient record identification, and prescription support.  Compliance and pricing: Named to the 2026 New York Digital Health 100; received the Fierce Healthcare Award and Salesforce Partner Award. $95 million raised to date, including a $45 million round led by Healthier Capital.  Considerations: Oriented toward health systems at scale; solo practices or small clinics are outside the typical deployment profile.  Founded in 2018 by Israel Krush and Rom Cohen, Hyro now employs approximately 170 people across New York and Tel Aviv.  4. ElevenLabs  ElevenLabs is a voice AI company best known for its speech synthesis technology: its ElevenAgents product extends into conversational agents, making it an option for practices or developers who want to build a custom healthcare voice experience.  Availability: ElevenAgents (conversational agents), ElevenCreative (content tools), and ElevenAPI (developer access); 90+ languages supported for voice synthesis.  Setup: Free tier available; paid plans from $6 to $990 per month; voice agents cost $0.08 per minute on every tier; separate LLM and telephony charges are layered on top of the per-minute rate.  Workflow: Enterprise clients include Deutsche Telekom, Square, Revolut, and the Ukrainian Government. General customers include Disney Studios, Twilio, Cisco, and Zoom.  Compliance and pricing: Reached an $11 billion valuation in February 2026 following a $500 million funding round.  Considerations: Not healthcare-specific; practices building on ElevenLabs need to handle HIPAA compliance and EHR integration themselves, which adds build time and technical depth.  Founded in 2022 by Piotr Dąbkowski and Mateusz Staniszewski, the London-based company employs around 400 people across offices in New York, Warsaw, and San Francisco.  5. Sully.ai  Sully.ai builds a suite of autonomous AI agents: receptionists, scribes, medical coders, and clinical consultants: designed to run across the full patient journey inside health systems.  Availability: AI Receptionist (call handling and scheduling), AI Scribe (clinical note generation), Medical Coder (billing code suggestions), and AI Consultant (clinical decision support); integrates with Epic and Athena Health. Over 20,000 clinicians across customer organizations.  Setup: Published work on ensemble decision-making and cross-specialty medical domain performance; HealthBench benchmark scores noted on the company’s site.  Workflow: $680,000 saved annually in call center operating costs and 18.5% more patients seen per customer reporting; $1 million in incremental annual revenue also cited.  Compliance and pricing: $30.5 million raised, including a $21.8 million Series A in January 2025 and Y Combinator seed funding. No public pricing listed.  Considerations: Setting up new providers takes 12 to 21 weeks by the company’s own figures, which may not suit practices needing quick deployment.  Sully.ai is headquartered in Santa Clara, CA, and has 64 employees as of 2026.  6. LuMay Voice Agent  LuMay AI is a newer enterprise AI platform: founded in 2024 to 2025: that offers Voxentis voice agents alongside legal, compliance, and translation agents, targeting regulated industries including healthcare.  Availability: LuMay Voice Agents (Voxentis), Legal Agents (Lexintis), QMS Compliance Agents, and Translation Agents; custom AI engineering services including LLM fine-tuning and retrieval-augmented generation development.  Setup: SOC 2 Type II and ISO 27001 certified; deployment options span SaaS, Azure, private cloud, hybrid, and on-premises.  Workflow: One financial services customer cut ticket resolution time from 18 minutes to under 4 minutes using Voice Agents, with a 55% improvement in how customers rate the service; a document processing case reduced processing time from 12 hours to 2 minutes at an 85% cost reduction using Translation Agents.  Compliance and pricing: Per-agent plans with tiered pricing; no specific figures publicly listed.  Considerations: With 24 employees and a founding date of 2024 to 2025, the company has a short operational track record compared to other platforms on this list.  LuMay is based in Dover, Delaware.  What Separates Good AI Phone Agents from the Rest  Not every voice agent built for general business use translates cleanly into healthcare. A few capabilities make a real difference in practice.  HIPAA compliance and data handling sit at the top. Any platform touching patient call data must meet HIPAA standards, whether through built-in compliance (as with Ubie Smart Support and Hyro) or through infrastructure configurations the buyer controls (as with Dograh’s self-hosted model). Assume nothing; ask for documentation.  EHR and calendar integration determines whether the agent’s captured data actually reaches the practice’s workflow or lands in a separate silo staff have to manually check. Shallow integrations slow the front desk down instead of helping it.  Human escalation is non-negotiable. Patients sometimes call in distress, raise clinical questions, or need a judgment call no AI should make. A voice agent without a clean handoff path to a live person is a liability.  Setup time and technical overhead matter differently by practice size. A solo practitioner needs a system that’s live in days, not months. Enterprise health systems can absorb longer setup cycles in exchange for deeper customization.  And language support – often underweighted – shapes access for diverse patient populations. Platforms supporting multiple languages broaden a practice’s reach without adding staff.  Bottom Line  AI phone agents for healthcare span a wide spectrum, from ready-to-deploy tools built for small clinics to fully configurable platforms designed for health systems fielding hundreds of thousands of calls. The right choice hinges on practice size, in-house technical capacity, compliance requirements, and how fast a team needs to go live. A solo-provider office with no IT staff and an urgent after-hours gap will weigh these platforms very differently than an enterprise system building out multi-channel patient communication. That’s where the real decision gets made, matching each platform against those specifics, not just its headline features.  The post Top 6 AI Phone Agents for Healthcare Practices appeared first on PharmaShots.