![[ Visit Client Website ]](images/banner.gif)
Learning Objective 1: 1. The learner will be able to describe a dynamic work event.
Learning Objective 2: 2. The learner will be able to describe how decision support technology can be utilized to support evidence-based staffing.
1 Determine the impact of dynamic patient events on nursing workload and nursing staffing plans by using staffing decision support technology.
2 Examine the relationships between dynamic patient events, commissions of adverse patient care events, and omissions in nursing care.
3 Characterize a profile of patients who require additional unanticipated nursing care, including age, diagnoses, and acuity at the time of the event.
4 Describe nurses’ perceptions of workflow disruption and its impact on patient care following dynamic patient events.
A cross-sectional approach will be used for Aims 1-3. During the designated study period, DPE events will be entered into the Cerner ClairviaTM system and workloads will be recalculated to capture these DPE . Other measures collected from the Cerner ClairviaTM system include overall unit acuity target, actual scheduled staff for the shift, variance in staffing, percent utilization of staff, and average unit acuity. Following each shift, additional data collected includes the missed nursing care and adverse events. A qualitative approach will be used for Aim 4. A purposive sample RNs on selected medical surgical units will participate in a series of focus groups. Using a semi-structured interview, nurses in focus groups will be asked about their experiences of dynamic patient events, their perceptions of how these events influence patient outcomes, and how these events change nursing workflow.