Personnel Staffing and Scheduling

Michael Warner ()
Additional contact information
Michael Warner: AtStaff, Inc.

Chapter Chapter 11 in Patient Flow, 2013, pp 253-271 from Springer

Abstract: Abstract Not only do personnel make up approximately 2/3 of the cost of hospital health care, but they also account for an even higher percentage of the quality of care delivered, and patient safety. Additionally, they, with physicians, are the major determinate of how quickly a patient moves through a hospital. The key factor for throughput, quality, and safety, is that the correct number of personnel, with the correct qualifications and correct motivation, be present at the right times and places of the patient’s stay. This is the goal of the personnel staffing and scheduling processes and systems in hospitals. This chapter first briefly reviews the history of the use of modeling for more efficient and effective scheduling and staffing. Then it presents in some detail modeling work to move staff management decisions from the present, where intervention options are severely limited, into the near future (several days) where intervention options are numerous. This significantly improves not only throughput but also quality, safety, and staff satisfaction. This new effort involves the following: (1) Forecasting demand for staff into the near future, (2) Predicting no-shows of prescheduled personnel, and (3) A robust decision support system to include professional judgment and “best practices” allowing the hospital to be able to take advantage of the significant increase in intervention options for staffing (for example) 4 days ahead rather than 4 h ahead. How this effort fits into the larger aspects of staff management is discussed, along with possible future opportunities to use modeling to improve staff management in hospitals.

Keywords: Scheduling; Staffing; Forecasting (search for similar items in EconPapers)
Date: 2013
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:isochp:978-1-4614-9512-3_11

Ordering information: This item can be ordered from
http://www.springer.com/9781461495123

DOI: 10.1007/978-1-4614-9512-3_11

Access Statistics for this chapter

More chapters in International Series in Operations Research & Management Science from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().