Abstract: Hospitals are challenged to balance ever-changing patient needs with sufficient nursing resources to avoid delayed or missed care. Secondary analysis of workplace data reveals differences in activity patterns across shifts in which RNs agreed, or disagreed, that their patient assignment was appropriate. In the future, dynamic and automated sensing of workplace conditions has potential to augment human surveillance, and foster proactive responses to periods of time scarcity at the bedside.

Describe the new knowledge and additional skills the participant will gain after attending your presentation.: Participants will learn that RN adaptation to time and production pressure is associated with observable changes in workplace activity. Automated sensing of these changes may augment human workplace surveillance and supplement currently available estimates of work intensity.

Authors:

Dana Womack (Presenter)
Oregon Health & Science University

Nicholas Fox, Oregon Health & Science University
Linus Silvey, Oregon Health & Science University
Anna Balcom, Oregon Health & Science University