A., Utley, M., Brown, K. L. (2016). Identifying
improvements to complex pathways: evidence
synthesis and stakeholder engagement in infant
congenital heart disease. BMJ Open, 6(6).
https://doi.org/10.1136/bmjopen-2015-010363
Fougner, M., & Habib, L. (2008). If I had a rich picture⋯:
Insights into the use of “soft” methodological tools to
support the development of interprofessional
education. Journal of Interprofessional Care, 22(5),
488–498. https://doi.org/10.1080/13561820802168125
Goebel, E. A., Cristancho, S. M., & Driman, D. K. (2019).
Pimping in Residency: The Emotional Roller-Coaster
of a Pedagogical Method–A Qualitative Study Using
Interviews and Rich Picture Drawings. Teaching and
Learning in Medicine, 31(5), 497–505.
https://doi.org/10.1080/10401334.2019.1610658
Granja, C., Almada-Lobo, B., Janela, F., Seabra, J., &
Mendes, A. (2014). An optimization based on
simulation approach to the patient admission
scheduling problem: Diagnostic imaging department
case study. Journal of Digital Imaging, 27(1), 33–40.
https://doi.org/10.1007/s10278-013-9626-3
Greasley, A., & Owen, C. (2018). Modelling people’s
behaviour using discrete-event simulation: A review.
International Journal of Operations & Production
Management, 38(5), 1228-1244. https://doi.org/
10.1108/ IJOPM-10-2016-0604
Harper, P R, & Pitt, M. A. (2004). On the Challenges of
Healthcare Modelling and a Proposed Project Life
Cycle for Successful. The Journal of the Operational
Research Society, 55(6), 657–661.
https://doi.org/10.1057/palgrave.jors.2601719
Howick, S., & Ackermann, F. (2011). Mixing OR methods
in practice: Past, present and future directions.
https://doi.org/10.1016/j.ejor.2011.03.013
Lakdawalla, D. N., Bhattacharya, J., & Goldman, D. P.
(2004). Are The Young Becoming More Disabled?
Health Affairs, 23(1), 168–176. https://doi.org/
10.1377/hlthaff.23.1.168
Lamé, G., Jouini, O., Stal-Le Cardinal, J., & Lam, G.
(2019). Combining Soft Systems Methodology,
ethnographic observation, and discrete-event
simulation: A case study in cancer care. Journal of the
Operational Research Society, 71(10), 1545-1562.
https://doi.org/10.1080/01605682.2019.1610339
Lewis, P. J. (1992). Rich picture building in the soft
systems methodology. European Journal of
Information Systems, 1(5), 351–360. https://doi.org/
10.1057/ejis.1992.7
MacDonald, S. L. S., Cowan, I. A., Floyd, R. A., &
Graham, R. (2013). Measuring and managing
radiologist workload: A method for quantifying
radiologist activities and calculating the full-time
equivalents required to operate a service. Journal of
Medical Imaging and Radiation Oncology, 57(5).
https://doi.org/10.1111/1754-9485.12091
Marshall, D. A., Burgos-Liz, L., Eng, I., Ijzerman, M. J.,
Osgood, N. D., Padula, W. V, Crown, W. (2015).
Applying Dynamic Simulation Modeling Methods in
Health Care Delivery Research-The SIMULATE
Checklist: Report of the ISPOR Simulation Modeling
Emerging Good Practices Task Force Background to
the Task Force. ISPOR Task Force Report, 18(1), 5-
16. https://doi.org/10.1016/j.jval.2014.12.001
McCarney, R., Warner, J., Iliffe, S., Haselen, R. van,
Griffin, M., & Fisher, P. (2007). The Hawthorne
Effect: a randomised, controlled trial. BMC Medical
Research Methodology, 7, 30. https://doi.org/10.1186/
1471-2288-7-30
Monks, T., Robinson, S., & Kotiadis, K. (2016). Can
involving clients in simulation studies help them solve
their future problems? A transfer of learning
experiment. European Journal of Operational
Research, 249(3), 919–930. https://doi.org/10.1016/
j.ejor.2015.08.037
Morrison, B., & Lilford, R. (2001). How Can Action
Research Apply to Health Services? Qualitative health
research, Vol. 11 No. 4, July 2001 436-449
Naylor A (1992). Quantitative assessment of radiology
workload and facilities requirements. European
Journal of Radiology, 15 210-215.
Oliva, R. (2002). Tradeoffs in responses to work pressure
in the service industry. IEEE Engineering
Management Review, 30(1), 53–62.
https://doi.org/10.1109/EMR.2002.1022405
Ondategui-Parra, S., Bhagwat, J. G., Gill, I. E., Nathanson,
E., Seltzer, S., & Ros, P. R. (2004). Essential practice
performance measurement. Journal of the American
College of Radiology, 1(8), 559–566.
https://doi.org/10.1016/j.jacr.2004.03.020
Ormerod, R. J. (2014a). The mangle of OR practice:
Towards more informative case studies of “technical”
projects. Journal of the Operational Research Society,
65(8), 1245–1260. https://doi.org/10.1057/jors.
2013.78
Pitman, A., Cowan, I. A., Floyd, R. A., & Munro, P. L.
(2018). Measuring radiologist workload: Progressing
from RVUs to study ascribable times. Journal of
Medical Imaging and Radiation Oncology, 62(5),
605–618. https://doi.org/10.1111/1754-9485.12778
Proust, M. (1934). Remembrance of things past. New
York: Random House.
Rashwan, W. (2017). An Integrated Framework for
Staffing and Shift Scheduling in Hospitals [Doctoral
dissertation, Technological University Dublin].
Arrow@TUDublin. https://arrow.dit.ie/busdoc/25/
RCSI. (2011). Measuring Consultant Radiologist
workload in Ireland. The Board of the faculty of
Radiologists, Royal College of Surgeons, Ireland
Reeves, P. J. (2005). Chronic disease and independence in
old age: A case study. Radiography, 12(3), 253-257.
https://doi.org/10.1016/j.radi.2005.06.003
Rodriguez-Ulloa, R., & Paucar-Caceres, A. (2005). Soft
System Dynamics Methodology (SSDM): Combining
Soft Systems Methodology (SSM) and System
Dynamics (SD). Systemic Practice and Action
Research, 18(3). https://doi.org/10.1007/s11213-005-
4816-7
Rose, J. (1997). Soft systems methodology as a social
science research tool. Systems Research and