Contact Center AI
Resolve calls quickly, the first time.
The contact center AI that makes every agent your best agent
Rising call volumes, staffing that can't keep up, and fragmented systems are making every interaction harder than it needs to be. SpinSci's contact center automation helps healthcare organizations scale patient access without adding headcount.
Serve more patients with faster response times, fewer escalations, and higher first call resolution rates.
Reduce administrative burden with a single, unified view that puts patient data at your agent's fingertips.
Give patients faster, more consistent interactions that close patient access gaps and drive loyalty.
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Key Capabilities
Eliminate system switching and manual lookups to speed calls and get patients the care they need.
Connect seamlessly with your contact center platform so AI and automation fit into your existing workflows from day one.
Surface real-time patient data and interaction history so agents have the infomation to personalize and resolve every call.
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Present agents with relevant information as the call unfolds, from outstanding balances and overdue refills to scheduling availability.
Real results, in their words.
“We partnered with SpinSci because of their unique ability to bridge healthcare technology with operational excellence. Their expertise enables us to modernize our contact center while strengthening how we engage, support, and connect with our patients every day.”
Featured Resource
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Start the conversation
Unlock operational efficiency with call center AI designed for healthcare.
Frequently Asked Questions
Contact center AI uses artificial intelligence to improve the speed, accuracy, and efficiency of patient interactions in a healthcare contact center. It can work in two ways: autonomously, by handling patient calls and requests end-to-end without staff involvement; or as an assist layer, by surfacing patient information, suggesting next steps, and reducing the manual work agents do on every call. Most health systems benefit from both: AI handling high-volume, repeatable interactions, and AI-assisted tools making every human agent faster and more effective on the calls that need a human.
Average handle time (AHT) is the average duration of a patient call from start to finish, including the time spent talking, time on hold, and any follow-up work the agent completes after the call ends. In healthcare, AHT averages around 6.6 minutes, with an additional 4.4 minutes of average hold time per call. High AHT means agents handle fewer calls per shift, costs go up, and patients wait longer.
Agent burnout in healthcare contact centers is driven by a combination of high call volumes, repetitive interactions, and the cognitive load of navigating fragmented systems on every call. Agents are asked to deliver fast, accurate, empathetic service while simultaneously looking up patient records, checking scheduling availability, and documenting the interaction in multiple systems. Studies show 74% of contact center agents are at risk of burnout, and healthcare environments are among the most demanding.
Contact center AI improves agent productivity by eliminating the manual work that slows agents down on every call. SpinSci's AI agents surface patient information, including history, scheduling context, and billing status, in a unified view before and during the call, so agents spend their time resolving the patient's issue rather than hunting for information across systems. AI also handles repetitive, automatable calls autonomously, so live agents work the queue of cases that genuinely need a human.
SpinSci integrates natively and bi-directionally with Epic, Oracle Health, and other major EHR platforms, pulling real-time patient data into the contact center agent experience and writing outcomes back to the system of record automatically. This is not a surface-level connection. SpinSci's EHR integrations are part of the foundation the platform is built on, developed over nearly two decades of working exclusively in healthcare.
SpinSci is natively integrated with leading CCaaS and telephony platforms, including Cisco, Genesys, Five9, Avaya, and 8x8. The AI layer sits inside the agent's existing contact center environment, surfacing patient context within the tools agents already use rather than requiring them to learn a separate application. Health systems do not need to replace their contact center infrastructure to deploy AI. SpinSci works within what is already there.
Contact center healthcare automation is the use of AI agents to handle the patient interactions that flow through a health system's contact center, scheduling, billing, referrals, prescription refills, and more, without requiring a human staff member for every task. Instead of patients waiting on hold or agents manually clicking through EHR screens, AI agents resolve routine requests end-to-end and work alongside human staff on the complex ones.
AI reduces average handle time by giving agents instant access to the patient context they need, removing the search time that inflates every call. When an agent picks up, they already know who the patient is, why they are likely calling, and what is in their record, before saying a word. SpinSci's AI agents surface this in a single unified view integrated with the EHR and contact center platform, cutting the time agents spend toggling between systems.