macro-eyes careers

134M times each year, patients don't show for scheduled appointments. This causes >$100B in lost revenue and operational costs. Healthcare has tried - and failed - to solve the problem for decades through behavior change.

SIBYL is an intelligent scheduling add-on that increases revenue, maximizing the likelihood that 1 patient will show for every 1 appointment slot. Providers can see more patients without adding overhead costs. SIBYL identifies when (and if) each patient is most likely to show and uses this insight to build the optimized schedule in real-time, cutting expensive gaps and creating more efficient operations. SIBYL has analyzed 2.5 million appointments, can predict appointment outcomes with near 80% accuracy and has demonstrated scheduling optimization that cuts empty slots by 50%.

SIBYL is the result of years of deploying and refining core macro-eyes AI at leading academic medical centers in NYC and California and at one of the largest health systems in the US.