Optimizing Healthcare Appointment Booking by 80%
A European health startup faced inefficiencies in its appointment booking process, handling only 300,000 appointments monthly despite rising demand. By integrating an AI chatbot, they reduced booking time by 80% and tripled capacity to 900,000 appointments per month.
Services
AI Development Services, Staff Augmentation
Industry
Healthcare
Pioneering Healthcare Access
ROSA, a dynamic European healthcare startup, focuses on bridging the gap between patients and medical professionals via an online platform. Offering a range of services from routine check-ups to specialized care, ROSA saw rapid growth in its user base. However, their outdated booking system struggled to keep pace, capping appointments at 300,000 monthly and hindering their mission to enhance healthcare access.
Tech Stack
Amazon Bedrock, Llama 3.1
Duration
8 months
Client Location
Europe
Project Challenges
Before the AI chatbot implementation, ROSA’s booking process faced significant hurdles
Inefficient Workflow
Multiple manual steps caused delays and frequent errors in scheduling.
Limited Capacity
The system maxed out at 300,000 appointments per month, far below demand.
Customer Frustration
Growing demand led to long wait times and dissatisfaction among users.
Staff Overload
Employees were bogged down by booking tasks, reducing focus on patient support.
Solution: AI Chatbot for Streamlined Booking
To address these issues, we deployed an AI chatbot to overhaul ROSA’s appointment system, enhancing efficiency and user experience.
Chatbot Creation
Using Amazon Bedrock and Llama 3.1, we developed a user-friendly chatbot that interacts naturally with customers, simplifying the booking process.
Integration and Training
The chatbot was integrated with ROSA’s systems to access real-time availability and trained on diverse datasets to manage various booking scenarios effectively.
Deployment and Optimization
Launched across digital platforms, the chatbot’s performance was continuously monitored and refined to ensure reliability and responsiveness.
User-Centric Design
Designed for ease of use, the chatbot minimized manual effort by gathering customer details, checking slots, and confirming appointments in real-time.
Results of the Collaboration
The AI chatbot delivered remarkable improvements:
80% Time Reduction
Booking time dropped from an average of 10 minutes to 2 minutes per appointment.
Capacity Tripled
Monthly appointments soared from 300,000 to 900,000, a 200% increase.
Higher Satisfaction
Customer complaints decreased significantly, reflecting a smoother experience.
