2010
DOI: 10.1108/09670731011060289
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Medical‐workforce planning: an art or science?

Abstract: PurposeIllustrates how the NHS workforce‐review team looks at the area of medical workforce planning and some of the problems that planners face.Design/methodology/approachDescribes a structure for workforce planning and examines some of the challenges workforce planners and those working in the human‐resources field face.FindingsArgues that workforce planning is more than simply number crunching; it requires the application of both art and science skills.Practical applicationsDemonstrates how the workforce is… Show more

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Cited by 3 publications
(2 citation statements)
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“…The concept of need is normative—what ought to be, i.e., how many licensed doctors we should have [17]. It is determined by the population health status and demographic situation [19]. The concept of demand refers to how many licensed doctors the health system wants; it is only driven by people’s demand for health services.…”
Section: Methodsmentioning
confidence: 99%
“…The concept of need is normative—what ought to be, i.e., how many licensed doctors we should have [17]. It is determined by the population health status and demographic situation [19]. The concept of demand refers to how many licensed doctors the health system wants; it is only driven by people’s demand for health services.…”
Section: Methodsmentioning
confidence: 99%
“…Furthermore, it is important to acknowledge the diversity of health workforce projection models and statistical approaches in the literature, where existing studies often lack uniformity in reporting their methodologies. While some health workforce modelers consider health workforce modelling a blend of science and art [ 57 , 58 ], our best-practice reporting guidelines aim to provide a comprehensive framework for future research in this field. To tackle this diversity, our recommended guidelines are designed to accommodate various model types, emerging methodologies, and the growing utilization of advanced statistical techniques to address uncertainties and the urgent need for model validation.…”
Section: Discussionmentioning
confidence: 99%