# CXA Powered scheduling for patients and providers

## Метаданные

- **Канал:** Talkdesk
- **YouTube:** https://www.youtube.com/watch?v=CrgSr4uV7fI
- **Дата:** 12.05.2026
- **Длительность:** 2:31
- **Просмотры:** 16
- **Источник:** https://ekstraktznaniy.ru/video/53214

## Описание

Revolutionizing Patient Scheduling with Talkdesk Customer Experience Automation (CXA)! 🚀

Discover how Talkdesk Customer Experience (CX) Automation (CXA) is transforming the way healthcare providers manage patient scheduling. In this video, we explore the power of CXA-powered complex scheduling, which goes beyond traditional intent-based AI tools. By leveraging a team of AI agents, Talkdesk CXA creates a dynamic and interactive patient scheduling experience, gathering critical information and applying organizational rules to make real-time decisions. Whether it's engaging with Talkdesk Autopilot or a human agent using Talkdesk Copilot, the system intelligently guides patients through the entire scheduling process, taking into account factors like provider availability and insurance requirements.

Our innovative approach integrates seamlessly with existing data and knowledge sources, ensuring that the AI operates with the same logic as healthcare staff. This hybrid model extends the cap

## Транскрипт

### Segment 1 (00:00 - 02:00) []

So you go to the next slide, Ariana, we're introducing and we talked about this actually uh last month at HIMS and I'm excited to get a chance to double click on this is CXA powered complex scheduling. So, it's kind of a different approach to what you've seen with intentbased AI um tools that have existed for about a decade and just trying to open up as much self-scheduling as possible and running into some of those headwinds. Instead of treating it just as a singlestep transaction, we've got a team, a templatized team of AI agents to handle it as a real conversation. So, one that you can gather the right information from the patient, apply your organization's rules, all of those different variables, and then make decisions dynamically. So as a patient engages u with autopilot or with a agent operating with co-pilot the system can understand whether they're new or established apply referral specialty uh requirements factor in things like provider availability and insurance paneling and guide them through the right scheduling path end to end as well as dynamically. So they can ask questions, they can update information that might be out of date in the EHR. And so the difference really is that the AI is operating with the logic that staff uses today. They pull that information in off the sticky note. off of, you know, call it traditional and non-traditional uh data and knowledge sources into the talk desk data cloud. We've talked a lot about where CXA gets its information from. We're bringing that much deeper into this specific specialty and diagnostic sort of um scheduling workflow. It also works great for primary care, especially because we know that we can't always uh schedule every single type of new patient appointment for primary care. We're really trying to break more and more into that um that site. And so it's also, and I mentioned this a little bit, it's designed to work in that hybrid model that Audriana was talking about at the top of our webinar. The goal here is to really extend that staff uh so that when AI is handling more and more of these multi-step workflows, more of these appointment types, more specialties, more facilities, when it still truly requires a person to handle a patient that's got a lot of questions. We're talking about maybe really, really complex stuff that our organization just can't afford to ever think about automating, at least on the kind of maybe short and medium term. um it's going to hand off to the uh the staff member that's most appropriate with full context and not force those patients to have a complete reset to the conversation. So, we want to help you scale without sacrificing quality or control for