Time Study RN

Time Study RN prompts nurses to log their activity periodically, capturing data across 70+ work categories (direct care, documentation, med tasks, non-value work, etc.). This self-sampling approach yields statistically accurate time-use profiles. By pinpointing where nurse time goes, it highlights inefficiencies and wasted effort. The resulting data can inform staffing and process changes, ensuring teams focus on patient care.

The platform includes a nationwide database of participating units (400+ hospitals/units) for comparison. Hospitals upload anonymized nurse time data and then benchmark their performance against peers. The database shows how time spent on patient care and ancillary tasks compares to national norms, revealing gaps. This insight empowers leaders to adopt best practices from top performers and justify staffing adjustments.

Time Study RN’s Safe Staffing module analyzes core staffing metrics against targets. It compares actual nurse utilization and task distribution to industry standards, flagging over- or under-staffing. For example, it measures percentage of RN work that could be done by lower-level staff. When discrepancies exceed benchmarks, the tool alerts management to adjust nurse assignments. This maintains optimal nurse-to-patient ratios and improves patient safety.

Each nursing unit gets a comprehensive assessment report. It highlights areas of inefficiency by comparing unit metrics to similar hospital units (e.g. excessive documentation time or low direct-care time). The report makes it easy to identify and target workflow bottlenecks. Teams can then focus training and process changes on underperforming activities, boosting efficiency and care quality.

Time Study RN features an anonymous collaboration portal. Users at different hospitals can communicate with top-performing peer units without revealing identities, sharing workflow strategies and improvement ideas. This peer-to-peer learning lets teams adapt proven approaches to staffing and care delivery. The tool fosters cross-hospital collaboration, accelerating quality improvement and best-practice diffusion.

The software generates run charts for every metric, enabling ongoing monitoring of changes. Users can track how interventions (like new staffing plans or workflow changes) affect nurse workload over time. By visualizing trends, teams see real improvements (or regressions) in real time. This data-driven feedback loop helps sustain gains and align team efforts around measurable outcomes.