Challenge

With over 20 locations and more than 8,000 IVF cycles performed annually, this large US-based clinic serving patients throughout the Northeast is one of the largest fertility networks in the country. At one of its clinics, the operating room (OR) has a capacity of 14 vaginal oocyte retrievals per day. However, a retrospective analysis showed that from February to June 2024, that threshold was exceeded on 31.6% of days, creating scheduling bottlenecks and placing strain on the staff, resources, and patient flow. To meet demand on those days, the clinic occasionally opened a second OR, which comes with a significant cost. Looking for a more sustainable, data-driven solution, the clinic team partnered with Alife Health to evaluate how Schedule Predict could optimize OR utilization.

Outcome

The Schedule Predict™ tool was able to identify patients whose trigger timing could be safely adjusted without impacting clinical outcomes. This would have resulted in a 67.6% reduction in overcapacity days, 31.6% to just 10.3%. By reducing the need to open a second OR, the clinic projected annual savings of over $700,000, all while maintaining patient safety and outcomes.