Determining diagnostic radiographer staffing requirements: A workload-based approach

Radiography (Lond). 2022 May;28(2):276-282. doi: 10.1016/j.radi.2021.09.014. Epub 2021 Oct 23.

Abstract

Introduction: The topic of healthcare human resource planning for diagnostic radiographers has received limited research attention to date. This research is concerned with developing a framework that can be used to determine diagnostic radiographer staffing requirements at a unit- or department level (i.e. at the micro-level).

Methods: An inductive approach is applied to formulate requirement specifications that inform the development of the framework. A number of verification and validation activities are performed, including theoretical verification and a case study application.

Results: The diagnostic radiographer staffing framework consists of seven steps that comprise a workload-based approach to determining the number of full time equivalent diagnostic radiographers that are required for each modality, or group of modalities. Both clinical and non-clinical activities are considered, and guidance is provided on calculating staffing requirements to cover leave allowances. A number of potential approaches to determining activity times are also discussed.

Conclusion: The framework represents a holistic approach to determining the required number of diagnostic radiographers at a practice-level, that is designed to remain relevant as technological advances are made in the field of diagnostic radiography.

Implications for practice: By providing a practical guideline, with accompanying examples, the framework is expected to hold value for individuals involved in the management of diagnostic radiography practices. The framework proposes an approach to a topic that affects every radiography practice in operation yet has received limited attention in literature to date.

Keywords: Diagnostic radiography; Framework; Healthcare human resource (HHR) planning; Model; Staff planning; Workforce planning.

MeSH terms

  • Allied Health Personnel*
  • Humans
  • Radiography
  • Workforce
  • Workload*