AI-Optimized Patient Scheduling for Healthcare Network
How Laxmint helped a regional healthcare network transform patient scheduling and resource allocation with AI.
Key Results
Wait Time Reduction: 77%
No-Show Rate Reduction: 70%
Patient Satisfaction Increase: 35%
Resource Utilization Improvement: 28%
Industry
Healthcare
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Challenge & Solution
Challenge
A regional healthcare network with multiple hospitals and outpatient facilities was struggling with patient scheduling inefficiencies, leading to long wait times, high no-show rates, and patient dissatisfaction.
The network was experiencing an average wait time of 22 days for appointments, a 23% no-show rate, and inefficient resource allocation across facilities.
Solution
Laxmint developed an AI-powered healthcare scheduling and resource management system:
- Predictive scheduling algorithm that optimized appointment slots based on historical data and patient preferences
- AI-powered patient communication system with personalized reminders and easy rescheduling options
- Resource allocation optimization across the network's facilities
- Real-time dashboard for administrators to monitor and adjust scheduling parameters
Results
The implementation transformed the healthcare network's operations:
- Reduced average wait time for appointments from 22 days to 5 days
- Decreased no-show rate from 23% to 7%
- Improved patient satisfaction scores by 35%
- Increased facility utilization efficiency by 28%
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