Meadow Wind: Improving Care Through Innovation

Save 2 Hours Per Day per Staff Member
10% Month-over-Month Decrease in Call Alerts
Strong ROI by Capturing Unscheduled Care
At Edgewood Meadow Wind, a community comprising 100 apartments, 60 Assisted Living and 40 Memory Care, the CarePoint integration has fundamentally transformed daily operations. Having utilized CarePredict for over two years, Executive Director Kandus Brooks and her team have found a reliable foundation for data-driven care. By bringing together the best of CarePredict and ALIS, this bi-directional integration allows care teams to document all scheduled and unscheduled Activities of Daily Living (ADLs) in one easy-to-use application at the point of care.
The system automatically recognizes when a staff member is in proximity to a resident, associating that time with specific care tasks to ensure more accurate documentation and better visibility. Beyond administrative efficiency, Meadow Wind utilizes the daily standup dashboard to monitor critical health indicators, such as eating data and UTI risks, finding the data highly reliable for early intervention.
The measurable impact on the Meadow Wind community includes increased time with residents, as front-line staff save nearly 2 hours per day, allowing them to redirect their focus from paperwork to meaningful resident engagement. Proactive care delivery has also improved, with visibility into resident needs leading to a 10% month-over-month decrease in call alerts as teams address concerns before they escalate. Furthermore, the community has seen operational growth; the ability to track unscheduled care tasks ensures they capture previously missed revenue while maintaining high staff adoption. Finally, the system has led to enhanced resident comfort, with residents benefiting from quicker response times and safety features like fall alerts and geofencing.




































