Overview
A mid-sized healthcare provider focused on outpatient care and patient
engagement.
Objective
To enhance patient support, reduce administrative workload, and promote preventive
care programs through an AI-driven solution
Challenges
- High volume of repetitive queries (appointment bookings, prescription refills).
- Limited support availability beyond business hours.
- Low awareness of preventive care programs among patients.
Solution
Object Detection
- Model: YOLOv4 and YOLOv7 were used for their accuracy and real-time
detection capabilities. - Training: The models were trained on a dataset of crimp objects, including
examples of defects like scratches and bends.
Measurement Using ArUco Markers
A 24/7 NLP-powered chatbot with the following capabilities:
- Appointment scheduling and reminders
- Prescription refill management
- Symptom checking and health tips
- Educational content to promote preventive care
- Seamless handovers to human agents for complex cases
Results
- Efficiency: 70% of queries resolved without human intervention
- Engagement: 40% increase in preventive care participation
- Faster Responses: Reduced query resolution time to under a minute
- Cost Savings: Lowered operational expenses by reducing support staff workload
This chatbot transformed patient support, delivering round-the-clock
assistance and improving engagement.
