The Client
A leading eye care provider, known for its commitment to personalized patient experiences, was struggling with missed appointments. No-shows weren’t just an inconvenience; they were impacting operational efficiency, revenue, and, most importantly, patient care.
The Challenge
Even with appointment confirmations, 24% of scheduled visits resulted in no-shows. The provider relied on an outdated predictive model that barely crossed 80% accuracy, leading to ineffective scheduling and last-minute gaps. They needed something better—an AI-driven approach that could predict no-shows with at least 85% accuracy and enable proactive engagement.
Key Solutions
Partnering with Xoriant for its AI in healthcare capabilities, the client took a bold step toward smarter scheduling to address no-shows.
- Leveraged AI-powered predictive modeling to analyze past appointment data, patient behavior patterns, and external factors for better forecasting.
- Refined key data signals, including attendance history, demographics, and engagement levels, to enhance prediction accuracy.
- Developed a real-time risk assessment engine that identified high-risk no-shows before they happened.
- Enabled proactive patient outreach through automated reminders and rescheduling strategies, improving adherence and reducing missed appointments.
Business Benefits
- AI-powered insights boosted prediction accuracy to 87%, eliminating scheduling guesswork and improving appointment forecasting.
- No-show rates dropped by 30%, thanks to smarter scheduling and proactive patient engagement.
- Personalized outreach strategies strengthened patient adherence, improving retention and overall appointment reliability.
