Voice + Chat Together
Patients can interact naturally while still seeing clear written context.
Cloud & SaaSMSME PlatformsCloud ApplicationsWeb DevelopmentHealthcare EHRIT Services24/7 SupportCloud & SaaSMSME PlatformsCloud ApplicationsWeb DevelopmentHealthcare EHRIT Services24/7 Support
Case Study
Aria Assistant
Creating a conversational healthcare assistant experience that combines voice, chat, and guided screening in one patient-friendly interface.
Scroll
AIUSA
LiveProject delivered
Project
Overview
01
Client
Aria Health Assistant
02
Location
USA
03
Industry
AI Healthcare Assistant
04
Deliverables
Assistant Dashboard UI · Conversation Design · Screening Flow Experience
Aria Assistant gave our team a clear and modern way to run patient conversations and screening while keeping the experience calm and intuitive.
— Aria Health Assistant
About
Client
Aria is a digital health assistant concept focused on helping patients complete intake and screening through conversational AI. The platform needed a trustworthy, minimal interface that supports real-time communication and clear task progress.
Project
Execution
Business Problems
- Traditional intake flows felt long and intimidating for first-time patients.
- Voice and chat interactions were disconnected across previous prototypes.
- Lack of clear state indicators for connection, mic status, and progress.
- Needed a healthcare-friendly interface that feels private and reassuring.
Our Solutions
- Designed a unified assistant dashboard with voice panel, patient feed, and conversation timeline.
- Built guided health screening UI with clear prompts and low-friction responses.
- Added live status indicators (connection/mic/live state) to improve user confidence.
- Applied a clean medical visual system with soft color cues and secure-data messaging.
Our
Approach
- 1
Conversation Mapping
Defined assistant prompts, user responses, and branching health-question flows.
- 2
Interaction Design
Designed synchronized voice + chat states for smooth multi-modal interaction.
- 3
UI System
Created reusable cards, timeline blocks, and status chips for healthcare context.
- 4
Prototype Validation
Tested readability, response speed, and user confidence in guided screening.
- 5
Refinement
Polished spacing, contrast, and feedback states for production-ready usability.
How We Made It Work
Guided Screening UX
Question flow is structured to reduce confusion and improve completion.
Trust-Focused Design
Connection and privacy cues reinforce safety throughout the experience.
Technology Stack
Frontend
- Next.js
- React
- Tailwind CSS
CMS & Content
- Conversation timeline UI
- Voice interaction states
- Guided forms
Hosting & Delivery
- Status indicators
- Privacy-focused messaging
Results &
Achievements
Improved Screening Clarity
Users can follow health questions with less friction and better context.
Higher Interaction Confidence
Live/mic/connected indicators make system behavior easier to trust.
Unified Experience
Voice and chat now work as one coherent workflow.
Scalable Assistant Foundation
Design system supports adding future screening modules and specialties.
Conclusion
Aria Assistant demonstrates how conversational AI can feel approachable in healthcare when UX prioritizes trust, clarity, and guided progression.
