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A new standardization model for physician staffing at hospitals

Author

Listed:
  • Irad Ben‐Gal
  • Michael Wangenheim
  • Avraham Shtub

Abstract

Purpose - The purpose of this paper is to develop a model for physician staffing requirements that could be generally applied to any hospital department, taking into account factors such as occupancy level, professional absences, allowances, physician work duties and patient service levels. Design/methodology/approach - The ability to generalize the model was tested via its implementation in five hospital departments considered to represent a cross‐section of all hospital requirements: internal medicine, surgery, orthopedics children's (pediatrics), and gynecology. The work is based on a combination of a survey, work sampling and direct time study, conducted by professional observers with a high degree of frequency and over a relatively long period of time. Findings - The model is based on the concept of “required work capacity” of physicians. The model makes it possible to account for such factors as yearly capacity, level of desired service, increments for work conditions, roster duties and necessary absences. Practical implications - The findings indicate that the departments studied required a significant increase in their physician staffing. In these departments the present manpower situation stands at 80–90 percent of the necessary staffing based on the average annual occupancy. The new staffing requirements model can be implemented in various departments. Originality/value - This paper is an original effort to develop a model for physician staffing requirements at hospitals based on a survey, work‐study and direct time study. This contributes to past research that focused on the development of staffing requirements models, e.g. for nurse or family physicians. The paper presents an original model for physician staffing requirements at hospitals.

Suggested Citation

  • Irad Ben‐Gal & Michael Wangenheim & Avraham Shtub, 2010. "A new standardization model for physician staffing at hospitals," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 59(8), pages 769-791, November.
  • Handle: RePEc:eme:ijppmp:v:59:y:2010:i:8:p:769-791
    DOI: 10.1108/17410401011089463
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    Citations

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    Cited by:

    1. Muyanja, Andrew W. & Atichat, Tanawat & Porter, J. David, 2013. "An experimental study on the effect of pattern recognition parameters on the accuracy of wireless-based task time estimation," International Journal of Production Economics, Elsevier, vol. 144(2), pages 533-545.
    2. Francesca Masi, 2015. "Definire la dotazione ottimale di personale medico: l?esperienza dell?Ospedale di San Marino," MECOSAN, FrancoAngeli Editore, vol. 2015(93), pages 33-48.

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