
37%
Improvement in Staff Response Time
Improved Staff-to-Resident Ration Visibility
Real-Time Staffing Visibility Across All Care Units
In this video, Loree Tamayo, Vice President of Operations, shares how CarePredict’s real-time data and reporting tools have transformed decision-making at the community level. With better visibility into resident activity and alert volume, her teams are now equipped to make informed choices about care levels, staffing, and service pricing—ensuring that residents receive the support they need, while operators deliver care more efficiently.
One of the most impactful features Loree highlights is the ability to identify peak alert times throughout the day. Rather than guessing or overstaffing blindly, CarePredict provides the data to show exactly when additional help may be needed—such as adding a part-time shift during busy windows or staggering staff to ensure faster response times. This flexibility directly improves care delivery without inflating labor costs.
Beyond peak hour adjustments, the system also provides long-term insight into staff movement and alert patterns. For example, if a building shows consistently low activity between 2 a.m. and 5 a.m., leadership can confidently scale back overnight staffing in that building—freeing up resources for areas with higher demand. This level of visibility wasn’t previously available and has become critical in balancing care quality with operational efficiency.
Loree emphasizes that these insights replace guesswork with facts. Instead of walking the halls at night to assess staffing needs, she now relies on CarePredict’s reports to guide staffing models, optimize coverage, and respond to changes in real time. It’s a shift from reactive oversight to proactive management.
Ultimately, CarePredict has become more than a monitoring tool—it’s a data-driven partner in workforce planning. By aligning resources with real resident needs, communities not only save money but also improve resident outcomes, reduce missed alerts, and ensure care is delivered when and where it matters most.




































