A patient shouldn't have to understand how a healthcare organization is structured to get the help they need. From scheduling an appointment to getting an answer about coverage or a prescription, the experience should feel connected and straightforward.
Behind the scenes, teams know the real complications that come with delivering a seamless experience. Healthcare contact centers often have to connect patients with multiple agents, systems, and channels while balancing the need for efficiency with human attention.
This is where modern cloud technology and AI can make a meaningful difference. At USAN, we don't believe AI should be everywhere. We believe it belongs where it can solve real problems: helping patients get answers faster, supporting agents with the information they need, and taking routine work off their plates.
For healthcare organizations, the opportunity is to build a contact center that gives patients easier access to support while giving the people behind that experience better tools to serve them. In this blog, we'll explore how healthcare organizations can bring those pieces together and help organizations put the right technology where it matters most.
AI can add valuable capabilities to a contact center, but it works best when the right foundation is already in place. That foundation starts with the cloud.
A cloud-based contact center can help bring together the systems, teams, and channels that support patient experience. A platform of this sort makes it easier for organizations to create connected experiences across phone, chat, messaging, and other digital channels. Patients can move between channels more easily, while contact center teams have greater access to the information and tools, they need to support them.
However, moving to the cloud is about more than technology itself. It means connecting the contact center to the systems and workflows already supporting the organization. Integrations with electronic health records and other healthcare systems can give agents the context they need, while connected data and workflows can reduce the time spent navigating between systems.
For healthcare organizations building this foundation, Amazon Connect Customer provides a native cloud-based environment designed around the needs of healthcare and life sciences organizations. It brings together contact center channels, healthcare integrations, patient information, scheduling, and verification to support a more connected patient experience.
With the right foundation in place, organizations can then build on it, using self-service, automation, and AI where they can improve the experience for both patients and contact center teams.
According to UST, 66% of U.S. physicians reported using health AI in 2024, up from 38% in 2023. At the same time, 68% said they saw a definite or some advantage in using AI tools.
For healthcare contact centers, some of the clearest applications are in patient access and administrative work. AI-powered virtual agents can schedule and reschedule appointments, answer routine questions, verify insurance or benefits, handle prescription refill requests, and provide support outside traditional hours. AI can also expand multilingual access, helping patients communicate in their preferred language.
The impact extends beyond patient-facing interactions. AI can support agents with real-time transcription, knowledge retrieval, suggested responses, sentiment analysis, and automated call summaries. These capabilities can reduce manual documentation while giving agents more information to work with during an interaction.
In a fast-paced environment, teams are constantly looking for ways to work more efficiently. AI can play a significant role here by reducing the time spent on routine, information-heavy tasks.
A 2025 review published in Discover Public Health cites AI systems that process and analyze oncology patient data in about 40 seconds, compared with up to 20 minutes for manual analysis. While this example is clinical rather than contact-center-specific, it illustrates how AI can reduce time spent on information-heavy tasks and give healthcare professionals more time to focus on people.
As AI becomes more integrated into healthcare, governance becomes just as important as technology itself. UST reports that only 18% of healthcare organizations had formal policies governing generative AI in 2024, highlighting the need for clear approaches to privacy, security, oversight, and responsible use.
That makes the choice of a CX platform an important part of the equation. Amazon Connect Customer uses AWS services, including Amazon Bedrock, to power its AI capabilities. Bedrock Guardrails can evaluate inputs and outputs against configurable policies, helping protect sensitive information, prevent unsafe responses, and enforce organization-specific requirements.
For healthcare organizations, those technical controls still need to translate into the right workflows, access policies, and escalation paths. USAN helps organizations bring those pieces together, from designing customer experience and integrating systems to configuring workflows and putting AI capabilities into practice.
Cloud, AI, and governance each play an important role, but their value comes from how they work together within the broader patient experience. The work USAN completed with OpenLoop demonstrates how these pieces can come together in a real-world healthcare environment.
Recognized by TIME as one of the World’s Top HealthTech Companies of 2026, OpenLoop is focused on expanding access to healthcare through its technology and virtual care infrastructure. As the company continued to grow, it needed a contact center that could support its operations while creating a more connected experience for patients.
OpenLoop partnered with USAN to implement Amazon Connect and build a contact center environment designed around its specific needs. From implementation and configuration to ongoing optimization, the partnership has helped OpenLoop put its technology to work across the patient experience.
Three areas stand out:
For OpenLoop, the value wasn't simply moving to a new platform. It was having the expertise to turn that platform into an experience that could keep pace with the organization's growth.
Over the years, USAN has learned that modernization isn't just about technology. It's about understanding customer and business needs first, then creating an environment where technology can make it easier for everyone to deliver on them.
In healthcare, this means creating a contact center that makes it easier for patients to navigate care, gives teams the information they need when they need it, and connects the systems and workflows behind every interaction.
OpenLoop's experience demonstrates how this approach can come to life. By combining Amazon Connect Customer with USAN's healthcare and contact center expertise, organizations can build a connected foundation that supports today's needs while creating room to introduce new capabilities as they evolve.
You don't have to navigate that transformation alone. The right technology and implementation partner can help you connect cloud, AI, integrations, and patient-focused workflows around your organization's unique needs.