Literature DB >> 16499721

Radiologist workloads in teaching hospital departments: measuring the workload.

A G Pitman1, D N Jones.   

Abstract

This article proposes a practical method for measuring staff radiologist workloads (clinical productivity) in teaching hospital departments of radiology in Australia. It reviews the Australian background to this, including the Royal Australian and New Zealand College of Radiologists (RANZCR) Education Board accreditation guidelines and the development of the RANZCR practice costing model. It reviews overseas methods of radiologist workload measurement and trends in radiologist workloads both in Australia and overseas. It proposes a practical and simple workload measuring method based on relative value units derived from the RANZCR model. Using a previous national workload survey in teaching hospitals, it proposes initial workload benchmarks when using this method. Strengths and weaknesses of this method and alternatives are reviewed, and a number of proposals for Australian teaching radiology departments are put forward to advance the issue of radiologist workloads in a disciplined manner.

Mesh:

Year:  2006        PMID: 16499721     DOI: 10.1111/j.1440-1673.2005.01524.x

Source DB:  PubMed          Journal:  Australas Radiol        ISSN: 0004-8461


  8 in total

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2.  Benchmarking in radiology: apples and oranges?

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Journal:  Br J Radiol       Date:  2010-01       Impact factor: 3.039

3.  Measuring radiologist workload: how to do it, and why it matters.

Authors:  Adrian P Brady
Journal:  Eur Radiol       Date:  2011-07-06       Impact factor: 5.315

4.  Measuring Consultant Radiologist workload: method and results from a national survey.

Authors:  Adrian P Brady
Journal:  Insights Imaging       Date:  2011-04-21

5.  Social networks and expertise development for Australian breast radiologists.

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6.  Learning to See: Using Mixed OR Methods to Model Radiology Staff Workload and Support Decision Making in CT.

Authors:  Mary Conlon; Owen Molloy
Journal:  SN Comput Sci       Date:  2022-07-05

Review 7.  The augmented radiologist: artificial intelligence in the practice of radiology.

Authors:  Erich Sorantin; Michael G Grasser; Ariane Hemmelmayr; Sebastian Tschauner; Franko Hrzic; Veronika Weiss; Jana Lacekova; Andreas Holzinger
Journal:  Pediatr Radiol       Date:  2021-10-19

8.  Towards task shifting? A comparison of the accuracy of acute trauma-radiograph reporting by medical officers and senior radiographers in an African hospital.

Authors:  Johan du Plessis; Richard Pitcher
Journal:  Pan Afr Med J       Date:  2015-08-27
  8 in total

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