SpinSci's Voice AI co-worker works every referral the way your best referral staff member would. It reaches the patient, schedules the specialist appointment, confirms the visit, and writes it all back to the EHR autonomously, so referrals convert into kept appointments instead of leaking out of your network.
A referral is a promise of care and a promise of revenue. Yet a large share never convert into a scheduled visit. They stall in a worklist, wait on a staff member who is already buried, or expire before anyone calls the patient. When a patient isn't reached fast, they go out-of-network, or nowhere at all. This isn't a staffing problem. It's a follow-through problem, and it's exactly what an AI co-worker is built to solve.
When a patient isn't reached quickly, they find their own specialist, often outside your system. That visit, every follow-up, every downstream procedure, and the lifetime value of that patient all go to a competitor. Keeping the referral in-network starts with reaching the patient first.
Inbound referrals stack up in a worklist that staff work when they get a chance. Each day of delay lowers the odds the patient ever schedules. Aging referrals quietly expire, and no one notices until the audit.
Reaching a patient takes multiple call attempts at the wrong times of day. Staff leave voicemails, patients call back to a queue, and the cycle repeats. The referral that needed one connected call instead consumes hours of staff time, or never connects at all.
SpinSci's referral Voice AI co-worker isn't an outbound dialer with a script. It's trained on real-world patient access workflows, purpose-built to pick up a new referral, reach the patient, navigate live EHR scheduling rules, book the right specialist appointment, and close the loop, all in natural conversation, with the same logic your referral staff follow.
Calls the patient within hours of the referral, retrying intelligently until it connects.
Warm, conversational, never robotic. Handles interruptions, corrections, and accents.
Finds an in-network specialist slot that fits the patient and writes the appointment to the EHR.
Steers to your own specialists and locations first, protecting referral revenue by default.
As soon as a referral lands in the EHR, the co-worker picks it up, confirms the patient and the requested specialty, reaches the patient, and schedules the visit. No staff member has to pull it off a worklist. Complex or clinically urgent cases escalate with full context attached.
The co-worker calls referred patients on their schedule, not the call center's, retrying at smart times until it connects. It explains the referral, answers basic questions, and books the appointment on the spot, turning a referral that would have aged out into a kept visit.
Every referral is tracked from received to scheduled to completed. The co-worker confirms the visit, sends reminders, and flags no-shows for re-outreach, so nothing is lost between the referring provider and the specialist, and the loop actually closes.
When a referral needs a human, prior authorization questions, clinical nuance, complex insurance, the co-worker transfers with full context delivered to the staff member's screen. No repeat intake, no warm-up time. Staff pick up mid-conversation, not from scratch.
The AI co-worker executes your organization's own referral rules and EHR configuration, not a generic script. In-network steering, specialty matching, scheduling windows, authorization requirements, and priority logic all reflect how your patient access team already works.
Every SpinSci Voice AI co-worker runs on the Healthcare AI Fabric, a purpose-built orchestration platform for clinical-grade patient access. The Fabric is what separates an outbound dialer from a co-worker: it reasons, integrates, and complies by default, so your team doesn't have to engineer any of that from scratch.
Every referral is worked the day it arrives, no aging worklist, no stalled queue. SpinSci's Voice AI co-worker picks up the new referral, reaches the patient, connects to your scheduling system in real time, books the right in-network specialist, and tracks the visit to completion, the way a great referral staff member would.
A new referral lands in the EHR. The co-worker reaches the patient, confirms the specialty and coverage, finds an in-network specialist slot, and books the visit, turning a referral that would have aged out into a scheduled, kept appointment.
A referred patient calls to confirm their specialist appointment, reschedule, or ask what to bring. The co-worker pulls live scheduling status, updates the visit, and resolves the call in under a minute, no hold time, no transfer.
When a referred patient no-shows or a referral stalls, the co-worker re-engages proactively, reschedules the visit, and updates the referring provider, so referrals close the loop instead of leaking out of the network unnoticed.
The best referral is the one the patient never has to chase. The AI co-worker reaches them first, books in-network, and closes the loop, every time, before the referral has a chance to leak.
The Voice AI co-worker integrates directly with your EHR, scheduling system, and contact center stack, no middleware required, no custom connectors to build. Referral data, provider availability, and network steering rules flow in real time.
Native integration via Epic Interconnect. Referral orders, provider schedules, and patient demographics pulled in real time, with appointments written back directly.
Full read/write integration with Oracle Health referral and scheduling modules. Appointment booking and referral status updates bidirectional.
REST API integration for referral lookup, provider availability, and scheduling workflows across ambulatory settings.
REST API integration for referral intake and scheduling workflows across ambulatory and community health settings.
Native CCAI integration with UCCE and UCCX. Warm transfer with full referral context screen-pop to staff desktop.
Avaya Experience Platform and Aura integration for inbound routing, transfer orchestration, and call recording.
SIP and API integration for call routing, warm handoff, and post-call analytics.
TCPA-compliant outbound SMS for appointment reminders, prep instructions, and patient confirmations via major gateway providers.
SpinSci's Voice AI co-workers are built for healthcare from the ground up, HIPAA-compliant, SOC 2 Type II certified, and designed so that PHI never leaves your perimeter. Security isn't a layer added on top. It's baked in.
The co-worker speaks only what EHR and scheduling system tool results return. No inference on eligibility, no guessing on availability, no filling in missing referral data. The tool output is the sole source of truth.
Urgent symptom mentions, clinical questions, and referrals flagged time-sensitive trigger immediate transfer to referral staff or nurse triage, no scheduling logic runs after the keyword fires.
The co-worker never collects SSN, full payment card numbers, or unnecessary PHI. All data stays within the customer's VPC perimeter; no patient data transits SpinSci-owned storage.
When a referral escalates to a human, routing metadata passes via the tool's content field, no PHI spoken aloud to the wrong queue, no redundant verbal hand-offs, no context lost in transfer.
Referral status, conversion analytics, leakage tracking, and API health, accessible by authenticated role, by department, by facility, and by time range. Full audit log retained for the complete retention window.
Co-worker servers run in private subnets behind NAT. Epic Interconnect and Oracle Health traffic runs over a dedicated VPN with private DNS zones. No public ingress path exists to clinical or scheduling data.