Modern clinics face increasing staff workload, manual data entry, difficulty scaling and high patient expectations
SOTA AI solutions help automate key processes, improve service quality and reduce costs
AI platform for creating products and business solutions based on speech technologies
Accurate pronunciation of
medical abbreviations
and terms
Speech recognition of
a doctor during MRI, CT, ultrasound,
creation of drafts
Providing
information to
patients
Managing
reception queues
using IVR
Using
standard voice
messages
Doctors spent 10-15 minutes manually filling out protocols after an appointment.
Automatic creation of draft protocols reduced the time to 5-7 minutes.
Up to 40% of the records contained inaccuracies (incorrect dates, mixed up specializations).
Error reduction by 50% due to automatic checking of doctors’ schedules, data confirmation via SMS/Telegram.
25% of patients called back due to lost directions, unclear instructions.
30% reduction thanks to automatic sending of memos (PDF + voice reminder), chatbot for clarifying questions.
High costs for manual call processing, correcting recording errors.
Saving 20% by reducing call center staff and automating 60% of typical requests.
Main complaints: "I have to wait a long time for an answer", "They mix up the entries".
Increase up to 30% with instant booking confirmations, personalized notifications.
Low satisfaction due to errors, long wait times and unresolved issues.
Increase up to 50%, patients note convenience and professionalism.
Reduce the workload on your staff and improve service quality
Automatic patient recording
and voice protocols
Voice ultrasound/MRI reports
and sending results to Telegram
AI-registration, reminders
for patients and auto-filling of forms
Chatbot for employees and
automatic inspection protocols
Unified recording system, end-to-end
analytics and common databases
Omnichannel platform for speech interaction analysis and quality control
Automatic assessment
of all calls by more than
40 parameters
Analysis of the reasons
for repeated appeals
and complaints
Identifying communication
failure points and weak
points in scenarios
Patient attrition forecast
and recommendation
of corrective actions
Collection and visualization of
data on the quality of
communication
Classification,
tagging, summarization
of dialogues
Integration with
BI platforms (Power BI,
Metabase, etc.)
Doctors spent 10-15 minutes manually filling out protocols after an appointment.
Automatic creation of draft protocols reduced the time to 5-7 minutes.
Up to 40% of the records contained inaccuracies (incorrect dates, mixed up specializations).
Error reduction by 50% due to automatic checking of doctors’ schedules, data confirmation via SMS/Telegram.
25% of patients called back due to lost directions, unclear instructions.
30% reduction thanks to automatic sending of memos (PDF + voice reminder), chatbot for clarifying questions.
High costs for manual call processing, correcting recording errors.
Saving 20% by reducing call center staff and automating 60% of typical requests.
Main complaints: "I have to wait a long time for an answer", "They mix up the entries".
Increase up to 30% with instant booking confirmations, personalized notifications.
Low satisfaction due to errors, long wait times and unresolved issues.
Increase up to 50%, patients note convenience and professionalism.
Reduce the workload on your staff and improve service quality
Automatic patient recording
and voice protocols
Voice ultrasound/MRI reports
and sending results to Telegram
AI-registration, reminders
for patients and auto-filling of forms
Chatbot for employees and
automatic inspection protocols
Unified recording system, end-to-end
analytics and common databases
Platform for creating AI assistants for doctors, administrators and patient support
Appointment, reminder
of a visit to the doctor,
medical examination, vaccination
Tips and Suggested
Formulations for Communicating
with Patients
Voice notification
about promotions for paid
medical services
Collecting feedback
on the quality of
medical care
Automatic compilation of
protocols for meetings
and receptions
Answers to frequently asked questions via a medical assistant bot
Normalization
and correction
of text
Doctors spent 10-15 minutes manually filling out protocols after an appointment.
Automatic creation of draft protocols reduced the time to 5-7 minutes.
Up to 40% of the records contained inaccuracies (incorrect dates, mixed up specializations).
Error reduction by 50% due to automatic checking of doctors’ schedules, data confirmation via SMS/Telegram.
25% of patients called back due to lost directions, unclear instructions.
30% reduction thanks to automatic sending of memos (PDF + voice reminder), chatbot for clarifying questions.
High costs for manual call processing, correcting recording errors.
Saving 20% by reducing call center staff and automating 60% of typical requests.
Main complaints: "I have to wait a long time for an answer", "They mix up the entries".
Increase up to 30% with instant booking confirmations, personalized notifications.
Low satisfaction due to errors, long wait times and unresolved issues.
Increase up to 50%, patients note convenience and professionalism.
Reduce the workload on your staff and improve service quality
Automatic patient recording
and voice protocols
Voice ultrasound/MRI reports
and sending results to Telegram
AI-registration, reminders
for patients and auto-filling of forms
Chatbot for employees and
automatic inspection protocols
Unified recording system, end-to-end
analytics and common databases
Integration and Security
Work in the cloud (SaaS) or on the customer's servers (On-Premise)
Support for HL7 standards, data protection compliance
Integration with MIS, CRM and internal systems via API
Мmulti-channel: website, messengers, telephony, email, offline communications
Languages: Russian, Uzbek, Kazakh, English