Staffing models
Staffing models are related sets of reports, charts and graphs, that are used to precisely measure work activity, determine how many labor hours are needed, analyze how employee time is spent and calculate costs. Staffing models are used in the healthcare industry.[1]
Overview
Staffing models provide:
- A structure for staff scheduling[2]
- Staff interactions[2]
- Both a broad and in-depth picture of work activity,[2] and its time and cost
- Information about current resource and process performance
- Information and tools to manage and improve staffing resource performance.
Staffing models are also used to reduce overtime costs.[1]
See also
References
- ^ a b Media, HIMSS (December 16, 2015). "UPMC on designing cost effective staffing models through predictive analytics". Healthcare Finance News. Retrieved May 25, 2016.
- ^ a b c Nancy Bateman, R.N.B.S.N. (2012). The Business of Nurse Management: A Toolkit for Success. Springer Publishing Company. p. 15. ISBN 978-0-8261-5573-3. Retrieved May 25, 2016.
Further reading
- Cardon, Melissa S.; Tolchinsky, Paul (2006). "To hire or not to hire? Implications of alternative staffing models for emerging organizations". Human Resource Strategies for the High Growth Entrepreneurial Firm. Research in human resource management. Information Age Pub. pp. 69–85. ISBN 978-1-930608-14-6. Retrieved May 25, 2016.
- Hunt, T.C.; Lasley, T.J. (2010). Encyclopedia of Educational Reform and Dissent. A Sage reference publication. SAGE Publications. pp. 274–. ISBN 978-1-4129-5664-2. Retrieved May 25, 2016. (subscription required)
- Dyrda, Laura (February 28, 2017). "50 things to know about hospital staffing". Beckers Hospital Review.
- Aiken, LH; Clarke, SP; Sloane, DM; International Hospital Outcomes Research, Consortium. (February 2002). "Hospital staffing, organization, and quality of care: cross-national findings". International journal for quality in health care : journal of the International Society for Quality in Health Care. 14 (1): 5–13. doi:10.1093/intqhc/14.1.5. PMID 11871630.
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