Healthcare System Reduced No-Show Rate By 35% With Kure
PROJECT SUMMARY
Problem: 20% of patients were no-shows to the healthcare system’s Virtual Urgent Care Program. These unused appointments affected the ability to provide patient care and left staff with empty schedules.
The system knew time was of the essence, so it turned to Kure to help manage the project and drive faster results. Kure’s AI-driven approach reduces no-shows from 20% to 13%—a 35% improvement.
The Problem
Efficiency is essential in healthcare, where every appointment plays a role in delivering timely patient care. A healthcare organization in Ontario, Canada, faced a growing issue after relaunching its Virtual Urgent Care Program—nearly 20% of scheduled appointments were no-shows. This problem resulted in wasted time for Nurse Practitioners (NPs), missed opportunities to treat patients, and frustration for those unable to book available time slots.
The organization needed a solution to lower the no-show rate, improve staff productivity, and enhance patient satisfaction. The organization turned to Kure, the AI-powered process improvement platform. Kure’s guided workflow, built on the DMAIC (Define, Measure, Analyze, Improve, Control) methodology,
A team of professionals was assembled, led by a project leader, utilizing Kure’s AI-driven workflow to streamline the improvement process and focus on problem-solving. By using Kure’s AI-driven recommendations and automated project documentation, the organization completed the improvement project three times faster than traditional methods.
The Root Causes
Through Kure’s guided approach, the team uncovered a key issue—patients were not asked to confirm or cancel their appointments. Many patients either forgot or didn’t take the necessary steps to reschedule, leaving valuable slots unused.
Kure’s built-in AI analysis helped identify patterns in patient behavior, reinforcing the need for a proactive notification system to ensure appointment slots were optimally utilized.
The Solutions
Using Kure’s AI-powered workflow, the team followed the DMAIC framework to develop an effective solution. Kure’s step-by-step guidance helped structure the project, providing real-world examples, expert suggestions, and automated progress tracking.
A simple yet impactful solution was implemented—an automated appointment notification system. Patients received reminders two hours before their scheduled visit, allowing them to confirm or cancel with a single action. This minimized forgotten appointments and ensured unused slots could be filled by other patients.
Kure’s AI-driven insights allowed the team to monitor results in real time, automatically documenting each step and ensuring continuous improvements.
The Results
The impact was immediate and significant. Within three months, the no-show rate dropped from 19% to 13%—a 35% improvement. Nurse Practitioners saw fuller schedules, meaning more patients received care, and appointment availability increased for those needing urgent attention.
Kure’s automated documentation and AI-driven recommendations helped the team track improvements effortlessly, making it easy to sustain and refine the new process. The organization successfully transformed its appointment management system, resulting in better resource utilization and improved patient experience.
Conclusion
Kure’s AI-powered process improvement workflow played a pivotal role in reducing no-show rates and optimizing patient scheduling. By leveraging Kure’s guided methodology, real-time tracking, and AI-driven suggestions, the organization completed the project faster and achieved lasting improvements.
This success has positioned the organization for future efficiency gains. With the ability to complete improvement projects up to three times quicker, teams can continue tackling operational challenges with confidence. Kure’s innovative approach to process improvement helped transform the Virtual Urgent Care Program into a more effective and patient-focused service.
*We value our clients’ confidentiality. While we’ve changed their names, the results are real.
