A causal loop diagram of thermostat action including conversions between heat and temperature and outside temperature. The simulation model is at Insightmaker 393

This is a launchpad for patient flow insights for flows through the emergency department and hospital, including the broader community context. It also includes links to other insights relevant to ED flow improvement.

Concept map about how a thermostat works. Slightly adapted from http://cmap.ihmc.us/docs/linkingwords.html See how this changed after SD modelling at IM-736

Simple rich picture causal loop diagram of single and double loop learning (DLL). See Individual Learning IM-616  See also DLL simulation insight

The dynamics of health care spending, or why it keeps growing. Adapted from Fig 7.6 p154 of Sauwakon Ratanawijitrasin's PhD thesis SUNY Albany 1993 "The dynamics of health care finance: A feedback view of system behavior."

From Tarek KA Hamid's Book Thinking in Circles About Obesity Springer 2009

Forcings and feedbacks based on Tom Fiddaman, James Hansen and other feedback and cycle diagrams

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

This is a stock flow map representation 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 See IM-425 for a simulation.

Regulation of resource allocation to service in response to service quality. A non-price-mediated resource allocation system. From Sterman JD Business Dynamics p172 Fig 5-27

From Stewart Brand see Wikipedia Also called Shearing Layers

Based on Ransohoff DF, McNaughton Collins M, Fowler FJ. Why is prostate cancer screening so common when the evidence is so uncertain? A system without negative feedback. Am J Med. 2002;113:663-7. See IM-15991 for a generic Stock Flow Map

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

Causal Loop Diagram of the Dynamics of Emergency Department Crowding Initial View from the waiting room 

Main Page for Resilience