Plavno developed a voice AI module for a healthcare platform that automates patient intake, supports appointment booking, and enables STT/TTS-assisted communication during consultations inside the HIMS (Health Information Management System) environment.
Overview
This case reflects Plavno’s role as a specialized module development partner inside a larger healthcare platform ecosystem. The core HIMS product was developed by the client’s main team, while Plavno delivered a high-value voice AI layer that improved patient intake, appointment workflows, and consultation support. The solution combined pre-visit voice interaction, structured data capture, appointment handling, and real-time speech processing during doctor-patient conversations.
Faster collection of structured patient information before consultations
Reduced manual effort in front-desk and intake workflows
Better quality of patient data captured before the visit
Improved support for live doctor-patient communication workflows
Stronger automation inside the HIMS platform without rebuilding the core system

Many healthcare platforms handle scheduling, patient records, and care workflows well enough, but still rely on manual processes for one of the most repetitive and costly parts of the patient journey: intake and conversation handling.
Common challenges included:
Too much manual effort during patient onboarding and pre-visit data collection
Repeated staff involvement in appointment booking and routine information capture
Inconsistent intake quality depending on workload or communication style
Lack of real-time speech processing during consultations
Limited ability to convert spoken conversations into structured clinical or operational data
The client wanted to make the HIMS platform more efficient and more intelligent without rebuilding the underlying ERP-style healthcare core.

The module needed to:
Collect patient information through voice interaction before the visit
Support appointment booking workflows inside the healthcare platform
Convert conversations into structured outputs usable by downstream workflows
Integrate naturally into the existing HIMS environment
Improve operational efficiency without disrupting the clinician experience
There were also important constraints:
The voice experience had to be simple and reliable for patients
The system needed to support both pre-visit automation and live meeting assistance
Speech processing had to work inside the product, not as a disconnected add-on
The module had to fit into a healthcare workflow where usability and data quality mattered more than novelty

Solution
Automating patient pre-intake, live conversation capture, and structured data flow within the existing healthcare platform
AI-powered voice assistant for patient intake
Appointment booking support inside the HIMS platform
Real-time speech-to-text during patient meetings
Text-to-speech for guided interaction scenarios
Structured capture of patient-provided information
Integration with healthcare workflow logic
Reusable voice AI capability inside a broader medical platform
Patient Pre-Intake: Before the visit, the patient interacts with the voice assistant to provide basic information, describe needs, and move through intake questions.
Appointment Handling: The assistant supports appointment-related actions such as scheduling, collecting booking details, and guiding the patient to the next step.
Live Consultation Support: During meetings, the STT/TTS layer processes spoken interaction between patient and provider inside the platform.
Structured Output for Platform Workflows: Captured information is prepared for downstream usage inside the HIMS environment, improving continuity and reducing manual handling.
Suitable for HIMS and digital healthcare platforms
Supports both pre-visit and in-consultation voice workflows
Reduces friction across intake and booking processes
Works as a module inside a broader ERP-like healthcare product
Scalable for multi-clinic, multi-specialty, and high-volume healthcare environments
Architecture Overview
Voice Interaction Layer:A conversational voice interface supports patient communication during intake and booking stages.
Intake Logic Layer: The module collects patient details through structured flows and prepares them for downstream use.
STT/TTS Processing Layer: Real-time speech-to-text and text-to-speech capabilities support live interactions during consultations.
Healthcare Workflow Layer:Captured outputs are aligned with scheduling, intake, and care-delivery workflows inside the HIMS platform.
Integration Layer: The module connects with the broader healthcare product's internal logic, scheduling layer, and operational workflows.
Operations Layer: The client gains a reusable voice capability that strengthens the platform without changing the core ERP/HIMS foundation.

Value
Delivering stronger intake quality, cleaner voice workflows, and more scalable healthcare operations
The module helps standardize how patient information is captured before care delivery.
Real-time speech processing improves how spoken interactions are handled inside the platform.
The healthcare team spends less time on repetitive intake and booking work.
The HIMS product becomes more useful without rebuilding the core system.
Benchmarks
Built for healthcare workflow continuity, repeated patient interactions, and embedded voice automation at scale
The solution works as a specialized voice AI layer inside a broader healthcare product.
The module can support repeated intake and booking interactions across many patients.
The voice assistant supports platform operations instead of living outside them.
The same approach can be extended across specialties, clinics, and healthcare service lines.
Data Protection
Enterprise-grade handling of patient interaction workflows inside a healthcare platform environment
The module operates inside governed platform workflows rather than through disconnected consumer tools.
Patient-provided information is captured in a more controlled and usable way.
The platform gains more visibility into intake and conversation-driven workflows.
Patient interaction data is processed and stored in line with HIPAA safeguards for protected health information (PHI).
Innovative Experience
Voice AI modules for healthcare platforms, patient intake automation, and consultation support
Delivery Crew
High-performing developers for growing companies

Eugene Katovich
Sales Manager
Plavno builds embedded healthcare AI modules that automate intake, improve appointment workflows, and strengthen HIMS platforms with practical voice capabilities.
Talk to an ExpertCompetitive Ability
Demonstrating how Plavno transforms manual healthcare intake and conversation handling into a structured Voice AI workflow
Start the Patient Interaction
The patient engages with the voice assistant before or during the care journey.
Capture Intake and Booking Data
The system collects structured information and supports appointment handling.
Process Live Conversation
Speech-to-text and text-to-speech support real-time communication during the consultation.
Feed Structured Data into the Platform
Outputs are prepared for downstream healthcare workflows inside the HIMS environment.
Intake automation
Appointment support
Real-time consultation processing
Workflow-ready outputs
High-volume patient interactions
Reusable module architecture
HIMS integration
Scalable healthcare automation
Patient voice interaction
STT/TTS processing
Structured intake capture
Guided conversation flows
Measurable outcomes delivered by an AI medical scribe and voice intake assistant
Routine intake information is collected more efficiently.
Appointment handling becomes more structured and less manual.
The healthcare platform gains a practical AI module without requiring core product replacement.
Speech processing adds a more useful interaction layer during patient meetings.
Reduced manual data entry and repetitive intake tasks, freeing staff for higher-value patient care.
Tools We Used
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Frequently Asked Questions
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No. Plavno developed the specialized voice AI module integrated into the client’s larger healthcare platform.
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Vitaly Kovalev
Sales Manager

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