Data-Driven Efficiency

Facility: Lakeside Care Residence
Location: Orlando, FL
Pillar Focus: Data-Driven Efficiency

Background: Lakeside Care Residence wanted to improve the efficiency of its staffing decisions. The facility had adequate staff numbers, but without real-time data on resident needs, staffing was reactive rather than proactive, causing delays in providing care to higher-acuity residents.

Approach: Lakeside implemented a data-driven acuity-based staffing system that used daily health metrics—such as mobility, cognitive ability, and medical conditions—to inform staffing decisions. This allowed the facility to efficiently allocate resources based on the needs of the residents each day.

Outcome: The data-driven model resulted in a 30% reduction in care delays for higher-acuity residents over 5 years, as staff were more effectively deployed where needed most. Additionally, the facility saw a 20% decrease in overtime hours, leading to significant cost savings and improved staff satisfaction. Lakeside’s leadership also gained valuable insights into resident trends, allowing for better planning and resource management.

Disclaimer: This case study is a hypothetical example and does not represent the actual operations of any specific facility.