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Measuring and managing radiologist workload: a method for quantifying radiologist activities and calculating the full-time equivalents required to operate a service.
- Source :
-
Journal of medical imaging and radiation oncology [J Med Imaging Radiat Oncol] 2013 Oct; Vol. 57 (5), pp. 551-7. Date of Electronic Publication: 2013 Jul 12. - Publication Year :
- 2013
-
Abstract
- Introduction: Accurate and transparent measurement and monitoring of radiologist workload is highly desirable for management of daily workflow in a radiology department, and for informing decisions on department staffing needs. It offers the potential for benchmarking between departments and assessing future national workforce and training requirements. We describe a technique for quantifying, with minimum subjectivity, all the work carried out by radiologists in a tertiary department.<br />Methods: Six broad categories of clinical activities contributing to radiologist workload were identified: reporting, procedures, trainee supervision, clinical conferences and teaching, informal case discussions, and administration related to referral forms. Time required for reporting was measured using data from the radiology information system. Other activities were measured by observation and timing by observers, and based on these results and extensive consultation, the time requirements and frequency of each activity was agreed on. An activity list was created to record this information and to calculate the total clinical hours required to meet the demand for radiologist services.<br />Results: Diagnostic reporting accounted for approximately 35% of radiologist clinical time; procedures, 23%; trainee supervision, 15%; conferences and tutorials, 14%; informal case discussions, 10%; and referral-related administration, 3%. The derived data have been proven reliable for workload planning over the past 3 years.<br />Conclusions: A transparent and robust method of measuring radiologists' workload has been developed, with subjective assessments kept to a minimum. The technique has value for daily workload and longer term planning. It could be adapted for widespread use.<br /> (© 2013 The Authors. Journal of Medical Imaging and Radiation Oncology © 2013 The Royal Australian and New Zealand College of Radiologists.)
- Subjects :
- Efficiency, Organizational statistics & numerical data
Health Planning statistics & numerical data
New Zealand
Workflow
Diagnostic Imaging statistics & numerical data
Employee Performance Appraisal statistics & numerical data
Practice Patterns, Physicians' statistics & numerical data
Radiology Department, Hospital statistics & numerical data
Relative Value Scales
Workload statistics & numerical data
Subjects
Details
- Language :
- English
- ISSN :
- 1754-9485
- Volume :
- 57
- Issue :
- 5
- Database :
- MEDLINE
- Journal :
- Journal of medical imaging and radiation oncology
- Publication Type :
- Academic Journal
- Accession number :
- 24119268
- Full Text :
- https://doi.org/10.1111/1754-9485.12091