title: NursesforTomorrow: a proactive approach to nursing resource analysis.
abstract: This paper describes the background, development, implementation and utilization of NursesforTomorrow (N4T), a practical and comprehensive nursing human resources analysis method to capture regional, institutional and patient care unit-specific actual and predicted nurse vacancies, nurse staff characteristics and nurse staffing changes. Reports generated from the process include forecasted shortfalls or surpluses of nurses, percentage of novice nurses, occupancy, sick time, overtime, agency use and other metrics. Readers will benefit from a description of the ways in which the data generated from the nursing resource analysis process are utilized at senior leadership, program and unit levels to support proactive hiring and resource allocation decisions and to predict unit-specific recruitment and retention patterns across multiple healthcare organizations and regions.
authors.affiliation: University Health Network, 190 Elizabeth Street, Toronto, ON. debra.bournes@uhn.on.ca
authors.forename: Debra A
authors.initials: DA
authors.lastname: Bournes
authors.forename: Carolyn
authors.initials: C
authors.lastname: Plummer
authors.forename: Robert
authors.initials: R
authors.lastname: Miller
authors.forename: Mary
authors.initials: M
authors.lastname: Ferguson-Paré
mesh_terms: D003627:Data Interpretation, Statistical; D005544:Forecasting; D006801:Humans; D020380:Needs Assessment / Q000458:organization & administration*; D009718:Nurse Administrators; D015401:Nursing Administration Research / Q000379:methods*; D009740:Nursing Staff / Q000600:supply & distribution / Q000639:trends; D009864:Ontario; D010561:Personnel Staffing and Scheduling / Q000458:organization & administration*; D010563:Personnel Turnover / Q000706:statistics & numerical data / Q000639:trends; D012525:Saskatchewan