The current Causal loop diagram

From Padgett and Powell's Draft Book Chapter 2003 Figure F Dynamic interaction of actors products and relations. See also their 2012 book on The Emergence of Organizations and Markets

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

Upgrade of Kermack–McKendrick Epidemic SIR Infectious Disease Model (circa 2015) - Metrics by Guy Lakeman

This is a simple SIR infectious diseases 3 stock model with Susceptibles, Infectives and Recovereds stocks. In the initial description the R signified Removed and could include Deaths, Recovered with immunity to infection (Resistant) or those who had fled the epidemic. Note the need to initiate the epidemic by adding a pulse of a single infected person at time 0.

Addition of a slider for susceptibles is equivalent to accumulated total cases

SARS, MERS AND COVID are similar virus types only differing in their sub genus

The COVID outbreak has reached 150,000 infected people

This simulation allows an attempt at predicting how long the virus will persist and its longevity dependence on its high speed massive infection numbers that have reached pandemic proportions

SARS reached 8,000 infected total and ran for 9 months before stopping

MERS 2012 is still killing 8 years later with patients dying even after using interferon to try and cure them

updated 16/3/2020 from 5 years ago

From Greenhalgh et al article 2017 jimr Beyond Adoption: A New Framework for Theorizing and Evaluating Nonadoption, Abandonment, and Challenges to the Scale-Up, Spread, and Sustainability of Health and Care Technologies 

Clone of IM-806 modified to integrate AnyLogic Realworld, Model World with Van de Ven Engaged Scholarship and LAnd Use Modelling approaches. See also Complex Decision Technologies IM

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

Published (Robert Wears) simple model representation described as a capacitated processing model, modified to separate Patient Flow from workflow. See also IM-8382 for more recent model

Rich picture version of causal loop diagram for medication errors, showing the importance of reporting, analyzing and fixing knowledge and process errors. Medication errors will tend to grow due to the use of more medications in more complex patients. This is exacerbated by the loss of staff knowledge by turnover and goal erosion in places with harmful errors.

Based on Nate Osgood's CLD in his video on causal loop diagramming  26:09

A rich picture representation of the interactions described in Producing Health Consuming HEalth Care and usually referred to as the EBM Model or Field Theory of Health

Minimal model of glucose kinetics by Bergman, used to calculate insulin sensitivity from an Intravenous Glucose Tolerance Test (IVGTT). Plasma insulin I(t) enters a remote compartment X(t) where it is active in accelerating glucose G(t) disappearance into the periphery and liver, and inhibiting hepatic glucose production. Adapted from Minimal Models for Glucose and Insulin Kinetics: A Matlab implementation by Natal van Riel, Eindhoven University of Technology 2004 by Mark Heffernan.

WIP to explain risk factors and burden of disease

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

From Evans RG and Stoddardt GL  1990 paper Soc Sci Med 31(12)1347-63 , also published in a book by Evans, Barer and Marmor, Why are some people healthy and others not?: The determinants of population health. To IM-425 We add impacts of spending and a "Thermostat" setting for population health controlling health spending.

From IM-731 to navigate components of ability

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

See reference in diagram notes. WIP for Environment part of primary care regional model

A thermostat analogy used by Evans and Stoddardt in Producing Health Consuming HealthCare to explain why healthcare spending increases. This concept map is based on the Insight IM-736 Thermostat example

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

Based on Norbari APHA presentation 2016 An agent-based model to examine the impact of unaffordable housing on obesity risk in early childhood, via Kurt Kreuger

WIP detail of ED Clinical processes with focus on Stabilising and Deciding how to Admit or Discharge safely, the Disposition decision. For more aggregated views see IM-8237 for flows and IM-6913 for Physician Delegate Agent Interactions

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Summary of Eric Topol's 2019 book Deep Medicine   How Artificial Intelligence Can Make Healthcare Human Again