Auralie, your 24/7 healthcare voice assistant system, implements natural conversational interfaces to enhance both patient-clinic operations and appointment scheduling and hospital workflow functions.
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Auralie is an advanced AI system that autonomously books appointments, manages patient databases, and handles basic inquiries. Its AI-driven voice interface mimics human interaction, efficiently operating clinics across Australia and India.
Auralie boosts efficiency by managing records, scheduling appointments, and helping staff and patients communicate more easily.
A smart voice solution that saves time, reduces workload, and keeps your clinic connected — day or night
80% Drop in Hold Times
50% Less Work for Staff
95%+ Call Accuracy
24/7 Availability
Patients book appointments easily using voice — no long wait times, no confusion.
Finds the best slots and sends reminders to cut down missed appointments and double bookings.
Collects patient symptoms and history during the call and sends a summary to doctors before the visit.
Will support local languages to better serve diverse communities.
Will sync with medical record systems to keep everything up to date and in one place
The system faced challenges in speech recognition due to patients having various accents and producing speech hard to understand.
Users benefited from improved results whenever their dialogues with the system included both responding to interruptions and programmed replies.
The maintenance of user engagement relied heavily on making the AI system sound like a human voice instead of robotic speech tones.
Voice recognition needed accurate separation of background distractions and main dialogues in order to function properly.
Auralie, developed by BOSC Tech Labs, addresses key challenges by leveraging advanced AI and NLP algorithms. To provide smoother interactions, the system uses voice recognition technology capable of filtering out background noise and understanding various accents. Interruptions during calls are managed with a sophisticated conversation flow algorithm that provides smooth transitions.
Real-time calendar integration capability of the app manages appointments to minimize scheduling conflicts along with automated reminders which cut down no-show occurrences by 30%. The app’s achievement of quantitative performance targets includes the 60% reduction of receptionist call duration alongside a 90% success rate for tasks and maintaining patient satisfaction at 95% levels. These operational solutions improve both clinic management systems and deliver improved satisfaction for patients and clinical staff.
We use reliable and cutting-edge technologies to create secure, efficient, and scalable solutions that turn your ideas into powerful products.
Twilio
Python
Pipecat
AWS Transcribe
GPT 4.1
Rime
SileroVAD
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