A general model of flows between hospital and the community. An expanded version is at IM-623

This is a high level system dynamics model which is built to determine the dynamic relationships of the FSA and Followups capacity. Therefore, it can help clinicians to find out the optimistic method in order to reduce the waiting list. At past clinicians were seeing more FSA patients, however, after few months, the followups patients overwhelmed the clinics. Therefore waiting list has been built up again. By running this model, clinicians can find out the balanced leverage point(s). New Model has been developed, this is a very draft model.

WIP based on Paul Holmstrom's material mostly specific hospital and healthcare related work from Mintzberg's books and recent articles

Clone of IM-11079, incorporating Mark Heffernan's SImple SD ithink v10 Model of Hospital Patient Flow done for particle filtering in September 2014

A stock flow structure used to investigate interventions to improve the monthly patterns of patient flows through hospitals. Simplest structure to explain IM-10386 Expanded in IM-13966

Detail of the key structures in healthcare based on Mintzberg's Understanding Organizations Finally and Paul Holmstrom's work . Link to CLDs 

This is a high level system dynamics model which is built to determine the dynamic relationships of the FSA and Followups capacity. Therefore, it can help clinicians to find out the optimistic method in order to reduce the waiting list. At past clinicians were seeing more FSA patients, however, after few months, the followups patients overwhelmed the clinics. Therefore waiting list has been built up again. By running this model, clinicians can find out the balanced leverage point(s). New Model has been developed, this is a very draft model.

This is a high level system dynamics model which is built to determine the dynamic relationships of the FSA and Followups capacity. Therefore, it can help clinicians to find out the optimistic method in order to reduce the waiting list. At past clinicians were seeing more FSA patients, however, after few months, the followups patients overwhelmed the clinics. Therefore waiting list has been built up again. By running this model, clinicians can find out the balanced leverage point(s). New Model has been developed, this is a very draft model.

This is a high level system dynamics model which is built to determine the dynamic relationships of the FSA and Followups capacity. Therefore, it can help clinicians to find out the optimistic method in order to reduce the waiting list. At past clinicians were seeing more FSA patients, however, after few months, the followups patients overwhelmed the clinics. Therefore waiting list has been built up again. By running this model, clinicians can find out the balanced leverage point(s).

Extension of IM-7981 with dynamics of daily ward discharges and did not waits. For an adjusted bed capacity stock see IM-14144.For backlog and services see IM-8382

Causal loop diagram of the dynamics of emergency and elective admissions competing for vacant ward beds in a hospital. From

Lane, David C. and Monefeldt, C. and Rosenhead, Jonathan (2000) Looking in the wrong place for healthcare improvements: a system dynamics study of an accident and emergency department.  Journal of the Operational Research Society, 51 (5). pp. 518-531. ISSN 0160-5682 

See IM-7981 for Simulation Model

Causal loop diagram of the dynamics of emergency and elective admissions competing for vacant ward beds in a hospital. From

Lane, David C. and Monefeldt, C. and Rosenhead, Jonathan (2000) Looking in the wrong place for healthcare improvements: a system dynamics study of an accident and emergency department.  Journal of the Operational Research Society, 51 (5). pp. 518-531. ISSN 0160-5682 

See IM-7981 for Simulation Model

Coping but not coping in health and social care: masking the reality of running organisations beyond safe design and surge capacity. An updated version of the 2007 insight based on NHS teaching experience. See also the cascading interlinked archetypes 2022 insight CLD version of hospital congestion

WIP for Whole of Hospital Program. Provides Context and Detail for Hospital Timeline Study IM-9382

Coping but not coping in health and social care: masking the reality of running organisations beyond safe design capacity. From Eric Wolstenholme Syst. Dyn. Rev. 23, 371–389, (2007) abstract See IM-1008 for a stock flow version. Click the +View Story feature at the bottom left.

Extension of IM-7981 with dynamics of daily ward discharges and did not waits. For an adjusted bed capacity stock see IM-14144.For backlog and services see IM-8382

Causal loop diagram of the dynamics of emergency and elective admissions competing for vacant ward beds in a hospital. From

Lane, David C. and Monefeldt, C. and Rosenhead, Jonathan (2000) Looking in the wrong place for healthcare improvements: a system dynamics study of an accident and emergency department.  Journal of the Operational Research Society, 51 (5). pp. 518-531. ISSN 0160-5682 

See IM-7981 for Simulation Model

Queensland Health Clinical Services Planning Project WIP commencing March 2018

Extension of IM-7981 with dynamics of daily ward discharges and did not waits. For an adjusted bed capacity stock see IM-14144.For backlog and services see IM-8382

WIP for Whole of Hospital Program. Provides Context and Detail for Hospital Timeline Study IM-9382

Queensland Health Clinical Services Planning Project WIP commencing March 2018

Efficiency system income and cost model for system development and roll-out.