Patient Days per Staffed Bed

Benchmarking Report

Patient Days per Staffed Bed

This PDF report includes benchmarking data (in a visual, chart-based format), an comprehensive KPI definition, characteristics of high performers and technical details on measuring Patient Days per Staffed Bed. Purchase and download this easy-to-understand, presentation-ready report immediately to compare performance levels, set attainable performance targets, and push towards best-in-class performance for this KPI.

What is Patient Days per Staffed Bed?

The total number of patient days managed by a healthcare facility divided by the number of staffed beds operated by the facility at the same point in time.

Why should Patient Days per Staffed Bed be measured?

Patient Days per Staffed Bed measures the total number of patient days managed by a healthcare facility in relation to the total number of staffed beds operated by the facility at the same point in time. A relatively low value for this metric is typically related to a few common factors, including highly manual (i.e., error and rework prone) healthcare facility processes and procedures (e.g., patient medication tracking, patient monitoring, medical history gathering, etc. practices that are almost entirely managed through manual labor), overstaffing of one or more healthcare facility departments, general inefficiencies within healthcare facility processes (e.g., inefficient gathering of patient medical histories, poor diagnosis of symptoms and patient issue severity, etc.), and sub-par healthcare facility employee training and performance. While a low value for this metric is preferred, this should also be balanced with the level of service being provided to patients, as the quality of the services may impact patient satisfaction, the length of the patient's stay in the healthcare facility, and the patient's mortality.

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A: Enough to produce a useful benchmark. And rest assured that it’s all current, validated, and useful. We only include data that’s been collected in the last five years. And while sample sizes vary by KPI, the average is 25, and the high end can surpass 1,000.

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