Data-Driven Rollator Selection in Healthcare Facilities: Maximizing Safety and Value

1. Harnessing Usage and Incident Data

Healthcare facility rollator decision can be optimized by tracking and analyzing real-world data on device use, performance, and incidents. Facilities should maintain logs of:

• Frequency and location of rollator use

• Accident and near-miss reports

• Maintenance needs and repair logs

2. Benchmarking Rollator Models Against Key Performance Indicators

Establish benchmarks for safety, durability, and total cost of ownership to compare models and vendors effectively:

• Incident rates per 1,000 patient days

• Average lifespan and downtime

• Service and replacement frequency

3. Collaborative Evaluation and Continuous Improvement

Data-driven rollator selection is an ongoing process involving staff, patients, and procurement teams:

• Regular feedback sessions with clinical users

• Periodic review of procurement criteria and outcomes

• Updating purchasing strategies based on evidence and feedback

4. Leveraging Analytics to Reduce Total Cost of Ownership

Analytics can identify underperforming models, guide preventive maintenance, and optimize inventory levels, ultimately reducing lifecycle costs and enhancing patient safety.