Voice ai

Increase capacity, speed access to care 

Serve more patients without adding headcount, using voice AI agents trained on your patient access workflows. 
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voice ai for patient access

The faster, smarter way to run patient access

Under pressure to serve more patients and reduce adminstrative burden, health systems need a modern approach to patient access. SpinSci delivers a human-like voice AI experience from first contact to final bill.

Reduce Staff Burden

Let AI agents handle high-volume, repetitive interactions so your team can focus on complex cases that need high-touch care.

Better Patient Experience

Give patients the personalized interactions they expect by resolving scheduling, billing, and prescription requests 24/7, without hold times or delays.

Health System Growth

Reduce costs while scaling capacity to keep clinician schedules full, collect more payments, fill more prescriptions, and improve referral conversion.

voice AI Agents

Deploy a digital workforce to accelerate every touchpoint in the patient journey

Agent
Scheduling

Automates appointment scheduling, rescheduling, and cancellations across providers and locations. 

Agent
Pharmacy

Helps patients with medication questions, refill requests, and pharmacy coordination.

Agent
Billing

Assists patients with billing inquiries, payment questions, and balance resolution.

Agent
Benefits

Verifies insurance eligibility and benefits instantly and helps patients understand insurance coverage.

Agent
Prior Authorization

Handles prior authorization submissions and follow-ups from request to approval.

Agent
Referrals

Captures and processes referral requests, connecting patients to the right provider without delays.

Key Capabilities

About our Platform
End-to-End Workflow Execution

AI agents don't just answer questions, they complete tasks. From scheduling to referrals and billing, agents owns the full workflow.

Always On, Infinitely Scalable

AI agents handle every inbound patient interaction at any volume, at any hour, with no degradation in speed or accuracy.

EHR-Native Intelligence

Agents are powered by SpinSci's AI framework, an intelligence layer built directly on your EHR's decision logic and operational data, not assumptions.

Seamless Human Collaboration

When higher-touch support is needed, the handoff is instant and complete. Live agents inherit full conversation context before the first word is spoken.

scalable
task oriented
ehr- native
collaborative
consistent
scalable
task oriented
ehr- native
collaborative
consistent
from our clients

Real results, in their words.

“On average, we saw a decrease of 30 seconds per call, and that’s huge when you are handling hundreds upon thousands of calls. In 2025, we had just shy of 850,000 patient engagements, so if you multiply that by 30 seconds – that’s pretty intense.”

christin moore
Director of Patient Access
trusted by the world’s leading health systems
voice ai

Deliver an intelligent, humanized experience, driven by your workflows and designed for outcomes. Resolve routine calls quickly and equip agents with full context when high-touch care is needed.

faster access to care

Connect patients to the help they need 24/7, without delays or hold times.

more satisfied patients

Give every patient the experience and first-time resolution they expect.

fewer calls to your staff

Shield your team from routine inquiries so they can focus on what matters most.

start today

Book a demo with our expert team to see how our AI agents can transform patient access at your organization.

Book a Demo
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Featured Resource

See all Resources
Blog

Voice AI for Healthcare Contact Centers

Contact Center
Voice AI
Read

A CIO Guide to Reducing Call Volume Without Hurting Experience

Read
Blog
open resource post
Blog

Voice AI for Healthcare Contact Centers

Contact Center
Voice AI

A CIO Guide to Reducing Call Volume Without Hurting Experience

Ready to get started?

Learn why leading health systems are using voice AI agents to deliver better patient access. 

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Frequently Asked Questions

Voice AI in healthcare uses AI agents to handle patient calls the way a trained front-desk staff member would. These agents understand natural language, access real-time patient and scheduling data from the EHR, and complete requests end-to-end without routing patients through phone menus or putting them on hold. SpinSci's AI agents reason through patient intent, follow your health system's workflow logic, and handle scheduling, prescription requests, billing questions, and referral coordination across voice, SMS, and digital channels, around the clock.

IVR systems route calls through fixed menus and keypad inputs. Voice AI agents understand natural, conversational language, access live patient data, and complete requests from start to finish without transferring the patient. An IVR tells a patient to press 2 for scheduling. A voice AI agent schedules the appointment, confirms it, and updates the EHR, all in one conversation. Voice AI eliminates the rigid, frustrating experience IVR systems are known for, and it eliminates the staffing cost that IVR escalations create.

When a patient calls, the AI agent identifies the request using natural language understanding, verifies the patient's identity, and accesses live provider availability directly from the EHR. It books the appointment in real time, confirms the details conversationally, and triggers a reminder sequence if configured. No hold times, no staff involvement, no phone tree. The interaction is completed end-to-end in a single conversation, and the EHR is updated automatically.

SpinSci's AI agents are trained on healthcare workflows and handle a broad range of patient access interactions: appointment scheduling, cancellations, and reschedules; prescription refill requests and pharmacy coordination; referral status and intake; billing inquiries and payment processing; and responses to common clinical questions based on approved content. These tasks are completed end-to-end without human escalation. When a case is genuinely complex, the agent escalates intelligently, with full context already in hand for the live agent taking the call.

Yes. Voice AI agents integrate bi-directionally with Epic, Oracle Health, and other major EHR platforms, reading real-time patient data and writing updates back to the system of record. This is not a surface-level API connection. SpinSci's Healthcare AI Framework (HCAF) was built on the deepest EHR integration layer in the market, and it is the foundation every AI agent runs on. That depth is what allows the agents to follow your health system's actual scheduling logic, provider rules, and workflow requirements, not a generic approximation of them.

SpinSci's AI agents escalate intelligently. When a patient requests a human, or when the agent determines escalation is appropriate, the call transfers to a live staff member with full context already in hand. The live agent sees the patient's history, the intent of the call, and what has already been addressed. No repeat questions. No starting from scratch. This is the hybrid digital workforce model: AI agents and human staff working together, each doing what they do best.

Most voice AI vendors adapt a generic AI platform for healthcare after the fact. SpinSci built its AI agents from the ground up on a healthcare-specific intelligence layer: the Healthcare AI Framework (HCAF). HCAF operationalizes your EHR decision logic and unstructured operational data, converting it into the intelligence that powers every agent. That is why SpinSci's agents follow your workflows exactly, not an approximation.

Healthcare voice AI has advanced well beyond simple menu navigation. SpinSci's AI agents reason through patient intent and history, apply your health system's decision logic, and execute multi-step workflows across scheduling, billing, pharmacy, and referrals without handing off to a human. When a case is genuinely complex or the patient asks for a live agent, the call escalates seamlessly: the live agent inherits full context and picks up without the patient repeating themselves. SpinSci customers see a 98% natural language success rate across interactions.