From David Rees PhD dissertation "Developing a Theory of Implementation for Better Chronic Health Management" Health Services Research Centre, Victoria University of Wellington, New Zealand

Simplified version of IM-852  Erythropoiesis Stimulating Agents (ESA) Dosing in Anemia due to Renal Failure from Jim Rogers See Stock Flow Map  Insight 810 

Hypertension Generic Patient Flow Causal Loop Diagram version of Insight 305

Adapted from Fig.4, from Ana V Diez Roux (2011) Complex Systems Thinking May Help Us Transcend Current Impasses in Health Disparities Research Am J Public Health 2011;101 1627-1634  http://ajph.aphapublications.org/cgi/content/abstract/101/9/1627?etoc

Extension of the first 1000 days insight to include the Lancet Feb 2023 breastfeeding framework including commercial milk formula marketing  

balancing an integrated eye care training program with service needs and available resources

Overview of choice modelling as part of value, effectiveness and motivation series of insights about wants, needs and demands related to health care (regional) model See also IM-4043

Simulation model of the WIP Conceptual map IM-7671 of initial scope of the effects of the ED 4 hour rule based on June WA Teleconference and IM-8221. See also the conceptual maps of addition of indirect effects at IM-7775 and the potential wider context map in IM-6167

IPCC Extreme weather events combined context diagrams  FBE WIP

WIP example of Services oriented multiscale computable narrative synthesis focussed on Coping carefully with diabetes

This common archetype of systems that include relapse or recidivism allows exploration of the unintended effects of increasing upstream capacity and swamping downstream capacity. The increase in the relapse rate eventually returns to swamp upstream capacity as well. A social welfare example, based on a TANF case study, from How Small System Dynamics Models Can Help the Policy Process. N. Ghaffarzadegan, J. Lyneis, GP Richardson. System Dynamics Review 27,1 (2011) 22-44 Conference version at http://bit.ly/HlxtZj See IM 1769 for updated simpler version without serialization of the downstream stock

Created in James Madison University's ISAT 341 Simulation and Modeling course by Joseph Straub and Andrew Funkhouser. Based on Mark Heffernan's Glucose-Insulin Insight Maker

Glucose Insulin Model Info:

Translated from Hormone.stm in Dynamic Modeling in the Health Sciences James L hargrove, Springer 1998, Ch 24 p255-261, by Mark Heffernan.

Summary of evolution and the modern synthesis with genetics. See also the more recent extended synthesis IM-2099

From David Rees PhD dissertation "Developing a Theory of Implementation for Better Chronic Health Management" Health Services Research Centre, Victoria University of Wellington, New Zealand

Extension of IM-14124 with an adjusted bed capacity stock. For backlog and services see IM-8382

The effects of subsidies and incentives for private health insurance on the mix of public and private hospital use. The central role of adverse selection/moral hazard on private health insurance sustainability. See also updated version around 2017

A simple glucose regulation causal loop diagram taken from Richard O. Foster, 1970: The Dynamics of blood sugar regulation, MSc thesis, MIT Dept of Electrical Engineering, available on the MIT System Dynamics Group Literature Collection and in the MIT Electronic Libraries. See IM-587 for Addition of Glucagon

Causal loop diagram based on Jack  Homer's  Worker burnout: a dynamic model with implications  for prevention and control See IM-333 for simulation model and IM-641 for Rich Picture CLD

System Dynamics Review 1985 1(1)42-62

 

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).

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.

A Rich Picture Story representation of ED overcrowding based on Using system dynamics principles for conceptual modelling of publicly funded hospitals] by HJ Wong et al Journal of the Operational Research Society 63, 79-88 (January 2012) | doi:10.1057/jors.2010.164 Click the +view story on the bottom left

Emergency care patient flows IM-6072 used as context to add confounders and potential unintended effects.

WIP for Continuity of care ISO From Wikipedia Initial Insight Representation from ContSys

IM-4008 with split off patient and professional statecharts See IM-2846 for Agent with infectious disease and IM-6913 for ED Physician INteraction