An embedded chat
for every patient.
Patients book, cancel, reschedule, ask anything, through a chat widget on the practice website. Works on mobile and desktop. No app. No login. Available around the clock.
Some patients won't call. Period.
A growing slice of patients, across age groups, not just digital natives, would rather type a three-line booking request than navigate a phone tree at 9:02am Monday. TriageChat captures that demand directly on the practice website, without sending the patient anywhere else.
Same triage logic as voice. Same dashboard. Same per-site configuration.
The chat patients
actually use.
Embedded widget
One script on the practice website. Works on mobile and desktop. No app, no login, no friction.
Same triage intelligence
TriageChat shares the routing brain with TriageVoice. Patients get the same answers, typed or spoken.
Bookings, cancellations, reschedules
Handled end-to-end, patient types, calendar updates, SMS goes out, dashboard logs it.
Practice knowledge base
Answers questions about hours, locations, services, prep, referral policy, drawn from per-site content.
After-hours capture
When the practice closes, TriageChat keeps booking. Patients self-serve at 11pm; reception sees it in the morning.
Live handoff to reception
"Connect me to reception" patches the chat to a phone, full context handed over, no re-keying.
What clinics ask about the chat agent.
What does a patient have to install to use TriageChat?+
Does chat give different answers to the phone?+
Can a patient reach a person from the chat?+
What happens after the practice closes?+
What can TriageChat actually do, as opposed to answer?+
From the blog
What we are learning, written down.
- What can AI agents actually do in radiology?Not AI reading scans. What an AI agent actually does across reception, booking, referrals, capacity and follow-up, and what it must never touch.
- We called 100 radiology practices after hours. Here is what answered.Original research: the same 100 radiology practices, rung on Sunday evening. Not one reached a person, and eleven were answered by an AI agent.
- We called 100 radiology practices. Here is what we found.Original research: we rang 100 Australian radiology practices and timed every call. Eight reached a person straight away; the median wait was 90 seconds.
Book a radiology network assessment.
We'll map it to your network.
30 minutes with a solutions engineer. We model your call volume, centre count, and integrations, then show the AI agents running on your own scenarios, and answer everything compliance- and security-related upfront.