title: Rethinking traditional staffing models.
abstract: The department of radiology at North Shore University Hospital in Manhasset, NY redesigned its CT technical staffing model utilizing a data driven shift optimization approach to more effectively align workload with existing technical personnel resources. Using RIS data in a pivot table format, workload patterns were evaluated by day of the week and by hour of the day, which allowed realignment of staff to meet workload demands. Sharing data with staff became a powerful driver for staff buy-in and the willingness to implement changes with staff assignments. Morale also improved when staff recognized the benefit of improved staffing levels during peak volume periods. The redesign significantly reduced wait times for inpatient CT studies, contributed favorably in reducing length of stay,and improved patient safety.
authors.affiliation: North Shore University Hospital, Manhasset, NY, USA. JAloisio@NSHS.edu
authors.forename: John J
authors.initials: JJ
authors.lastname: Aloisio
authors.forename: Charles G
authors.initials: CG
authors.lastname: Winterfeldt
mesh_terms: D004496:Education, Continuing; D006801:Humans; D008962:Models, Theoretical; D010561:Personnel Staffing and Scheduling / Q000458:organization & administration*; D011872:Radiology Department, Hospital