Simulation model version of IM-398 CLD (which lists the reference).The dynamics of emergency and elective admissions competing for vacant ward beds in a hospital. Here Bed Capacity is a fixed parameter. For an adjusted bed capacity stock see IM-8862.For backlog and services see IM-8382

FBE WIP based on ithink proof of concept model by Mark Heffernan See IM-1689 for black and white version

La simulación describe el flujo de un paciente desde que ingresa al hospital hasta que sale

Clone of IM-10714 WIP for LHN Individual Hospital O Month of October 2013, to which insights of IM-11079 and IM-7981 are being added here

Unfolding causal loop diagram story of hospital congestion from Eric Wolstenholme's more detailed explanation of hospital congestion IM from March 2022 Youtube video and online stella presentation. Use of cascading interlinked archetypes. See Kumu version,  early discharge boundaries IM for an earlier version and Generic Archetypes IM from Gene Bellinger

Two stock hospital model of planned admissions with bed capacity adjustment Fig 3.8 from 2019 book by Eric Wolstenholme and Doug McKelvie. See also  Online interactive stella architect models website

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 also IM-1010 for unfolding CLD version. This is a cascade of swamping structures see gene's insight with video link

WIP Ideas. Replaced by IM-14124 and IM-14414 Ideas here focus on Additional adjusted stock of Bed Capacity version of IM-7981 .The dynamics of emergency and elective admissions competing for vacant ward beds in a hospital. 

WIP to explore hybrid modelling of a regional health service. Where should services be located in a network of hospitals? What are the performance measures? This is a simple initial model of some Transfer options

Simulation model version of IM-398 CLD (which lists the reference).The dynamics of emergency and elective admissions competing for vacant ward beds in a hospital. Here Bed Capacity is a fixed parameter. For an adjusted bed capacity stock see IM-8862.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

WIP Patient Flow improvement strategies for a City Hospital with 3 years historical data and two year planning horizon. Built after a Generic Teaching Hospital Model IM-10346 A simplified stock flow map is at IM-399

Unfolding story based on Kurt Kreuger's Systems Science Workshop using a 2009 bmj article, and Ted Marmor's book chapter informed by Emery Roe's recasting using analogy Insight

WIP for regional integration based on NHPA and IHPA activities in Australia built on clone of IM-10198 and will need to also focus on Elective Emergency Interactions Models esp Simple Simulation IM-7981

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).

Simulação do um atendimento de um hospital

Simulation model version of IM-398 CLD (which lists the reference).The dynamics of emergency and elective admissions competing for vacant ward beds in a hospital. Here Bed Capacity is a fixed parameter.  For discharge dynamics see IM-14124. For an adjusted bed capacity stock see IM-14144.For backlog and services see IM-8382

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).

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.

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

Simulation model version of IM-398 CLD (which lists the reference).The dynamics of emergency and elective admissions competing for vacant ward beds in a hospital. Here Bed Capacity is a fixed parameter.  For discharge dynamics see IM-14124. For an adjusted bed capacity stock see IM-14144.For backlog and services see IM-8382

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

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.