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

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

Clone of Clone 4of IM 27348, of JPS IM-27150 of original JPS IM-14117 See reference in diagram notes. WIP for Environment part of primary care regional model

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

Hypertension Generic Patient Flow Causal Loop Diagram version of Insight 305

From Peter Lacey's Whole Systems Partnership UK NHS ithink model with uncertainty added

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).

Based on combining IM-7670  with IM-7671 (WIP based on June WA Teleconference) plus indirect effects

Hypertension Generic Patient Flow Causal Loop Diagram version of Insight 305

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

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

Hypertension Generic Patient Flow Causal Loop Diagram version of Insight 305

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

Patient flow through ED at the end of life

Emergency Room overcrowding dynamics one stock model

NSW Health 2012 pdf Document from Schematic to Stock and Flow Map

WIP for Whole of Hospital Program

A work in progress model for ED daily average flows based on reported statistics by triage category with all triage categories aggregated See IM-663 for a more annotated version

Simplest ED Model for Daily ED Performance with 1 ED area rather than 2 in IM-10571. Currently runs over a weekend and calibrated roughly to Weekend Data. ED completion rate may be better as a converter.

Causal Loop Diagram of the Dynamics of Emergency Department Overcrowding

See reference in diagram notes. WIP for Environment part of primary care regional model. GP centric calibration by JPS at IM-14117 See also IM-3126 for Regional Health Service Use Context