Radiology-specific patient-access platform automating calls, scheduling, referrals, communications and operational workflows across clinic networks.
Product sources: Avoca official product site + Y Combinator S26 company page
Avoca Systems is a radiology-specific patient-access and operational-intelligence platform. It handles calls, online scheduling and eReferrals, writes confirmed bookings into radiology information systems, automates preparation/reminders/results/follow-up communications and encodes clinic-specific booking rules across networks. 1 2
AiToolMap did not place calls, book scans, test clinical routing, inspect RIS writes, reproduce customer KPIs or audit privacy/security controls. No eligible fixed-panel numeric evidence was found. The 8.2 rating is LOW-confidence and not rank eligible.
Patient-access automation should never silently improvise on clinical eligibility, preparation or urgent-care instructions. Networks should maintain explicit escalation rules, human override, audit trails, data-minimization controls and validation of every modality/site rule before automation. Patient-facing AI should also identify emergency or clinically consequential requests that belong with qualified staff.
Domain specificity is the main advantage. Radiology bookings depend on modality, preparation, staff, scanner, location and clinical constraints that generic schedulers often cannot resolve. Avoca's current workflow is designed around those constraints and escalates exceptions with context rather than treating every request as a simple calendar slot. 2
The deployment evidence is stronger than for most 2026 startups. Y Combinator reports Avoca live across more than 250 clinics, including networks with 150+ locations, and lists integrations with systems including Visage, Karisma, Comrad, Epic, Oracle Health and eClinicalWorks. That supports maturity and integration depth, although YC's traction figures derive from the company. 3
The patient journey extends beyond booking: intake, preparation, reminders, results, recall and referrer workflows are all part of the current surface. This matters because fragmented communications can create operational errors even when the appointment itself is booked correctly. 4
The headline outcomes are not independently benchmarked. Avoca publishes an 86% call-resolution rate, 4.6/5 patient satisfaction and customer statements about booking productivity; YC reports call abandonment falling from roughly 30% to 2% and more than 80% conversion for eligible calls. These are useful deployment signals but remain vendor/customer-originated rather than a controlled independent evaluation. 1 3
Pricing is enterprise/partner-led and no public numeric price was verified. More importantly, the platform processes sensitive health and referral information. Its privacy policy explicitly covers health information and AI voice-agent call processing, so deployments require serious diligence around jurisdiction, consent, retention, access and downstream clinical-system permissions. 5
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