Clinic staff couldn't keep pace with manual outreach. Now, AI agents with calm regional accents answer patient treatment questions.
A Barcelona-based healthcare technology company automating patient communication for clinics and hospitals across Spain's linguistically diverse market.
Clinic staff are often stretched too thin managing in-person care to prioritize manual follow-up calls for outstanding treatment proposals. This...
“With ElevenLabs, we bring empathy to every automated call. As Ovianta grows 20% month-over-month, their voice quality and reliability help us scale without compromising the patient experience clinics depend on.”
AI voice agent for patient call automation and clinical scheduling.
AI voice synthesis platform for text-to-speech, dubbing, and voice cloning.
Ovianta's Patient follow-up calls is part of this use case:
Related implementations across industries and use cases
Rising call volume outpaced staff capacity, creating a cycle of catching up. An AI agent now handles 7k calls a month, booking directly to the EHR.
Four-minute scheduling calls bottlenecked clinical staff. Now, voice AI proactively books appointments and updates medical charts.
Manual coordination slowed care. Voice agents now manage intake and housing aid via phone, scaling safely after 3,000+ safety simulations.
Rising call volume outpaced staff capacity, creating a cycle of catching up. An AI agent now handles 7k calls a month, booking directly to the EHR.
Manual coordination slowed care. Voice agents now manage intake and housing aid via phone, scaling safely after 3,000+ safety simulations.
Typing notes broke eye contact and caused late nights. Now, AI drafts records from spoken exam findings so vets stay present.
Manual scheduling took 3 days, slowing hiring. An AI agent now screens and books interviews in 29 minutes, doubling scheduled volume.
A 200% yearly data expansion bottlenecked global operations. Now, AI accelerates coding, drafts recipe cards, and resolves inquiries.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
Clinic staff couldn't keep pace with manual outreach. Now, AI agents with calm regional accents answer patient treatment questions.
A Barcelona-based healthcare technology company automating patient communication for clinics and hospitals across Spain's linguistically diverse market.
Clinic staff are often stretched too thin managing in-person care to prioritize manual follow-up calls for outstanding treatment proposals. This...
“With ElevenLabs, we bring empathy to every automated call. As Ovianta grows 20% month-over-month, their voice quality and reliability help us scale without compromising the patient experience clinics depend on.”
AI voice agent for patient call automation and clinical scheduling.
AI voice synthesis platform for text-to-speech, dubbing, and voice cloning.
Ovianta's Patient follow-up calls is part of this use case:
Related implementations across industries and use cases
Rising call volume outpaced staff capacity, creating a cycle of catching up. An AI agent now handles 7k calls a month, booking directly to the EHR.
Four-minute scheduling calls bottlenecked clinical staff. Now, voice AI proactively books appointments and updates medical charts.
Manual coordination slowed care. Voice agents now manage intake and housing aid via phone, scaling safely after 3,000+ safety simulations.
Rising call volume outpaced staff capacity, creating a cycle of catching up. An AI agent now handles 7k calls a month, booking directly to the EHR.
Manual coordination slowed care. Voice agents now manage intake and housing aid via phone, scaling safely after 3,000+ safety simulations.
Typing notes broke eye contact and caused late nights. Now, AI drafts records from spoken exam findings so vets stay present.
Manual scheduling took 3 days, slowing hiring. An AI agent now screens and books interviews in 29 minutes, doubling scheduled volume.
A 200% yearly data expansion bottlenecked global operations. Now, AI accelerates coding, drafts recipe cards, and resolves inquiries.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.