An infinite number of mathematicians walk into a bar. The first one tells the bartender he wants a beer. The second one says he wants half a beer. The third one says he wants a fourth of a beer. The bartender puts two beers on the bar and says “You guys need to learn your limits.” From  Wild About M
An infinite number of mathematicians walk into a bar. The first one tells the bartender he wants a beer. The second one says he wants half a beer. The third one says he wants a fourth of a beer. The bartender puts two beers on the bar and says “You guys need to learn your limits.” From Wild About Math
 Kidney replacement therapy dynamics: causal loop diagram of the kidney dialysis and transplant model extended to Chronic Kidney Disease from MOTOHASHI and NISHI Int. J. Epidemiology1991; 20: 1032-1036

Kidney replacement therapy dynamics: causal loop diagram of the kidney dialysis and transplant model extended to Chronic Kidney Disease from MOTOHASHI and NISHI Int. J. Epidemiology1991; 20: 1032-1036

Adapted from ​Systems approaches to public health by Alan Shiell and Penny Hawe See also  Health System Efficiency IM  and specific health outcome logic diagram  example IM
Adapted from ​Systems approaches to public health by Alan Shiell and Penny Hawe See also Health System Efficiency IM and specific health outcome logic diagram example IM
Relationship between major risk factors, and major diseases
Relationship between major risk factors, and major diseases
 An example of why it's so critical to understand where the boundaries are when considering a system. (developed from Eric Wolstenholme's Archetype examples by Gene Bellinger)   YouTube Video
An example of why it's so critical to understand where the boundaries are when considering a system. (developed from Eric Wolstenholme's Archetype examples by Gene Bellinger)
 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

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

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

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

 A work in progress model for ED daily average flows based on reported statistics by triage category with all triage categories aggregated. Based on a hospital performance report from   http://www.bhi.nsw.gov.au/publications/hospital_quarterly_3  

A work in progress model for ED daily average flows based on reported statistics by triage category with all triage categories aggregated. Based on a hospital performance report from  http://www.bhi.nsw.gov.au/publications/hospital_quarterly_3 


A starter on human service delivery derived from  IM-621  to introduce the more complex  IM-731  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 insig
A starter on human service delivery derived from IM-621 to introduce the more complex IM-731 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.
 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.

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.

 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 effec

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

Based on diagrams in the NAP 2015  Report  Improving diagnosis in health care process Compare with  IM-885  Clinical judgment to provide context and and Decision Ladder  IM-689  to provide decision process task detail
Based on diagrams in the NAP 2015 Report Improving diagnosis in health care process Compare with IM-885 Clinical judgment to provide context and and Decision Ladder IM-689 to provide decision process task detail
 This is the Concept map at  IM-735   modified to reflect the learning after system dynamics modeling at  IM-393 , 

This is the Concept map at IM-735  modified to reflect the learning after system dynamics modeling at IM-393

Level of biological organization linking cell level division and population level evolution
Level of biological organization linking cell level division and population level evolution
 DIabetes incidence from population inflow, with undiagnosed and diagnosed stocks

DIabetes incidence from population inflow, with undiagnosed and diagnosed stocks

 A stock flow structure used to show the unit of analysis, scope of study and context of the ED Four hour rule project, cloned from  im-399  monthly flows

A stock flow structure used to show the unit of analysis, scope of study and context of the ED Four hour rule project, cloned from im-399 monthly flows

WIP From  zenker 2007  article  PLoS Computational Biology From Inverse Problems in Mathematical Physiology to Quantitative Differential Diagnoses
WIP From  zenker 2007 article PLoS Computational Biology From Inverse Problems in Mathematical Physiology to Quantitative Differential Diagnoses