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

A combination of qualitative and quantitative methods for implementing a systems approach, including virtual intervention experiments using computer simulation models. See also Complex Decision Technologies IM

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.

Addition of two extra articles on specific nicotine  dependence (addiction and habituation) with conceptual maps to initial version

The dynamics of methadone treatment for intravenous opioid users. The major flows in this study were people cycling between being on methadone and off treatment. This is a minimal model of the insights from the more detailed modelling project described in Chalmers J, Ritter A, Heffernan M, McDonnell G. Modelling pharmacotherapy maintenance in Australia. A report prepared for the Australian National Council on Drugs. Sydney: Drug Policy Modelling Program, University of New South Wales; 2009 

Summary of US apa2017 report pdf link

Expansion of IM-399 A stock flow structure through hospitals with high value activities linked by transitions. Based on the project described by IM-10386 Compare with IM-622 Context

WIP ideas for group model building representation

WIP map of ebola in west Africa based on African Affairs Article and SEIR framework

Rich picture causal loops unfolding version of Insight 714, Based on Lyneis JM and Ford DN System Dynamics Applied to Project Management Syst. Dyn. Rev. 23, 157-189 (2007)

A model of an infectious disease and control

A simplified dynamic model, adapted from Engineering perspectives on healthcare delivery: Can we afford technological innovation in healthcare? Rouse, William B Systems Research and Behavioral Science 2009 Vol 26 (5) p573-582 abstract  Developed by Mark Heffernan. Addition of learning curve effects IM-614 to Insight 435

Kidney replacement therapy dynamics extended to dialysis management

Rich picture CLD of Tradeoffs in Responses to Work Pressure in the Service Industry by Rogelio Oliva California Mgt Review 2001 43(4) 26-43 paper

A simple generic rich picture view of interactions among concerned people with needs services and resources and abilities (including learning), which can be used as a pattern for many individual health care insights.

Dynamics of Emergency Room Crowding with treatment spaces and boarders waiting for ward beds (access block if the wait is too long).

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

Overview of Beyond Pleasure and Pain: How Motivation Works Book by E Tory Higgins OUP (2011). See also the value experience IM-2804 and Regret IM-15680

Michael Marmot's Eur J Epidemiol Essay 2017 See also IM-62760  Social determinants of health from Michael Marmot's  ABC 2016 Boyer Lectures on Social Justice and the Health Gap

Causal loop diagram unfolding story based on Jack  Homer's paper Worker burnout: a dynamic model See IM-333 for the Simulation model and IM-2178 for a related Causal Loop Diagram of Project Turnover

 

Sydney Public Hospital 2012 (RCW)

Based on Psychological Medicine Dec 2015 article Depression as a systemic syndrome: mapping the feedback loops of major depressive disorder by A. K. Wittenborn, H. Rahmandad, J. Rick and N. Hosseinichimeh, mentioned here. See also 2018 N. Hosseinichimeh Plos ONE article for rumination focussed SD simulation