WIP Summary of Lisa Rosenbaum's Feb 2019 NEJM 3 articles and audiocast .  1  Divided We Fall   2  Cursed by Knowledge   3  Not My Problem    Framework from Lintern 2018  article  diagrams on Team cognition. See also   Core theory of success IM
WIP Summary of Lisa Rosenbaum's Feb 2019 NEJM 3 articles and audiocast . 
Not My Problem
 Framework from Lintern 2018 article diagrams on Team cognition. See also  Core theory of success IM
 
 Adapted from Fig 7.1 p.269 of the Book: James A. Forte ( 2007),  Human Behavior and The Social Environment: Models, Metaphors and Maps for Applying Theoretical Perspectives to Practice   Thomson Brooks/Cole Belmont ISBN 0-495-00659-9

Adapted from Fig 7.1 p.269 of the Book: James A. Forte ( 2007), Human Behavior and The Social Environment: Models, Metaphors and Maps for Applying Theoretical Perspectives to Practice  Thomson Brooks/Cole Belmont ISBN 0-495-00659-9

Clone of  IM-24317  for adding other funding insights Im-633 and 636 and contrasting economic drivers of mental health with other health care based on  JHPPL David Mechanic 2016 issue  articles, esp  Glied article  (paywalled) Backed up generic version at  IM-59166
Clone of IM-24317 for adding other funding insights Im-633 and 636 and contrasting economic drivers of mental health with other health care based on JHPPL David Mechanic 2016 issue articles, esp Glied article (paywalled) Backed up generic version at IM-59166
 Adapted from Denis R. Towill, (1996) "Industrial dynamics modelling of supply chains", Logistics Information Management, Vol. 9 Iss: 4, pp.43 - 56 Diagram  http://www.emeraldinsight.com/content_images/fig/0050260202006.png

Adapted from Denis R. Towill, (1996) "Industrial dynamics modelling of supply chains", Logistics Information Management, Vol. 9 Iss: 4, pp.43 - 56 Diagram http://www.emeraldinsight.com/content_images/fig/0050260202006.png

 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.  Monograph pdf

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. Monograph pdf

 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  

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 

WIP ideas for group model building representation See later Australian Version Hybrid   Insight
WIP ideas for group model building representation See later Australian Version Hybrid  Insight
From Walrave  ISDC2014 paper  Counteracting the success trap in publically owned corporations. Similar to the ordinary (efficiency focussed) and dynamic capabilities (explore)  insight  described by David Teece See also evolution and brain control  insight
From Walrave ISDC2014 paper Counteracting the success trap in publically owned corporations. Similar to the ordinary (efficiency focussed) and dynamic capabilities (explore) insight described by David Teece
See also evolution and brain control insight
5 3 months ago
This simple high level model shows the basic feedback balancing loop for health services. There are many other loops and component interactions at multiple scales that add to the complexity See areas of  expenditure IM  for some component splits and  hospital value IM  for some service linkages
This simple high level model shows the basic feedback balancing loop for health services. There are many other loops and component interactions at multiple scales that add to the complexity See areas of expenditure IM for some component splits and hospital value IM for some service linkages
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
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
 Hypertension Generic Patient Flow Causal Loop Diagram version of Insight 305

Hypertension Generic Patient Flow Causal Loop Diagram version of Insight 305

 Inspiration for the model: The Last of Us, a video game for PlayStation 4.      In this example, we used a system dynamics model to predict ​a spread of a dangerous infection called Cordyceps Brain Infection, which is immune to any type of antibiotics. In the beginning, the virus was carried by onl
Inspiration for the model: The Last of Us, a video game for PlayStation 4. 

In this example, we used a system dynamics model to predict ​a spread of a dangerous infection called Cordyceps Brain Infection, which is immune to any type of antibiotics. In the beginning, the virus was carried by only one person (Infected), which inhaled spores from a plant called cordyceps fungus. 

The Infected show their first symptoms after two days, as the infection attacks higher brain functions, making the infected highly aggressive and incapable of reason or rational thoughts. 

The infection can be transmitted via bodily fluids; such as saliva, or by inhaling spores from the afore mentioned plant. 

It is believed that the infection can last up to 10 years, before the host dies. 

Parameters such as Infectivity, Contact Rate and Immunization Rate can be adjusted, but as we are dealing with a highly infectious disease, the starting values are 0.97 (infectivity - in 97% of the cases, the infection will spread to another host); 5 (each infected attacks 5 susceptible person per day); and 0.0001 (only 1 infected per 10,000 infected gets the treatment, as the vaccine can be afforded only by the richest people on the Earth). 

Simulation time is set to 50 years. The purpose of this model is to simulate what kind of an effect a deadly infection would have on World's population, if the medicine could not find a cure, or if the cure would be available only for the richest people on the Earth. 

The simulation result shows that the Earth's population has been decimated with the disease, and that there are only 7,5 million people left on Earth. 
 Here we have a basic SEIR model and we will investigate what changes would be appropriate for modelling the 2019 Coronavirus.  We add simple containment meassures that affect two paramenters, the Susceptible population and the rate to become infected.  The initial parametrization is based on the su

Here we have a basic SEIR model and we will investigate what changes would be appropriate for modelling the 2019 Coronavirus.

We add simple containment meassures that affect two paramenters, the Susceptible population and the rate to become infected.

The initial parametrization is based on the suggested current data. The initial population is set for Catalonia.

The questions that we want to answer in this kind of models are not the shape of the curves, that are almost known from the beginning, but, when this happens, and the amplitude of the shapes. This is crucial, since in the current circumstance implies the collapse of certain resources, not only healthcare.

The validation process hence becomes critical, and allows to estimate the different parameters of the model from the data we obtain. This simulation approach allows to obtain somethings that is crucial to make decisions, the causality. We can infer this from the assumptions that are implicit on the model, and from it we can make decisions to improve the system behavior.

Yes, simulation works with causality and Flows diagrams is one of the techniques we have to draw it graphically, but is not the only one. On https://sdlps.com/projects/documentation/1009 you can review soon the same model but represented in Specification and Description Language.

Emergency care patient flows IM-6072 used as context to add confounders and potential unintended effects.
Emergency care patient flows IM-6072 used as context to add confounders and potential unintended effects.
 Causal Loop Rich Picture unfolding from Repenning, N. and J. Sterman (2002). Capability Traps and Self-Confirming Attribution Errors in the Dynamics of Process Improvement. Administrative Science Quarterly, 47: 265 - 295. http://jsterman.scripts.mit.edu/docs/Repenning-2002-CapabilityTraps.pdf

Causal Loop Rich Picture unfolding from Repenning, N. and J. Sterman (2002). Capability Traps and Self-Confirming Attribution Errors in the Dynamics of Process Improvement. Administrative Science Quarterly, 47: 265 - 295. http://jsterman.scripts.mit.edu/docs/Repenning-2002-CapabilityTraps.pdf