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

Click +View Story on Bottom Left to unfold his wide view of Emergency care patient flows  IM-6072  used as context to add confounders and potential indirect effects. See also  IM-1010  for hospital fixes that fail,  wiki  for general Systems Archetypes and  wiki  for Leverage Points (There is also a
Click +View Story on Bottom Left to unfold his wide view of Emergency care patient flows IM-6072 used as context to add confounders and potential indirect effects. See also IM-1010 for hospital fixes that fail, wiki for general Systems Archetypes and wiki for Leverage Points (There is also a health leverage points WIP wiki page)
 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, Spr

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.

 A simple medical workforce model of doctor flows, population and service growth.

A simple medical workforce model of doctor flows, population and service growth.

 This model shows the dynamics of use of a new medical technology based on its scope of use and perceived relative benefit. The technology needs cumulative usage to fix its glitches, and the benefits will be diluted  as the scope of use widens.

This model shows the dynamics of use of a new medical technology based on its scope of use and perceived relative benefit. The technology needs cumulative usage to fix its glitches, and the benefits will be diluted  as the scope of use widens.

 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. This is a steady state model of  IM-424  that ignores deaths and population increase. This

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. This is a steady state model of IM-424 that ignores deaths and population increase. This is extended in IM-451

 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, Recove

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

A basic conceptual model to evaluate Government regulation of the food industry on community health and health & social costs. Would regulation have a negative impact on the overall budget in the short and longer term?
A basic conceptual model to evaluate Government regulation of the food industry on community health and health & social costs. Would regulation have a negative impact on the overall budget in the short and longer term?
 Here we have a basic SEIR model and we will investigate what changes would be appropriate for modelling the 2019 Coronavirus.  The initial parametrization is based on the suggested current data. The initial population is set for Catalonia.

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

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

 Addition of Incident Reporting and Prevention Interventions to a simple error chain of medication errors for patients in hospital  IM-10113  

Addition of Incident Reporting and Prevention Interventions to a simple error chain of medication errors for patients in hospital IM-10113 

  Learning THread for hybrid models including Grimm's ODD and Nate Osgood's ABM Modeling Process and  Courses

 Learning THread for hybrid models including Grimm's ODD and Nate Osgood's ABM Modeling Process and Courses

  Coping but not coping in health and social care: masking the
reality of running organisations beyond safe design capacity. From Eric Wolstenholme Syst. Dyn. Rev. 23, 371–389, (2007)  abstract . See also  IM-1010  for unfolding CLD version. This is a cascade of swamping structures see gene's  insig

Coping but not coping in health and social care: masking the reality of running organisations beyond safe design capacity. From Eric Wolstenholme Syst. Dyn. Rev. 23, 371–389, (2007) abstract. See also IM-1010 for unfolding CLD version. This is a cascade of swamping structures see gene's insight with video link
 
 Barry Richmond's model describing behavior and anxiety theory for the Milgram experiment. Richmond, B. (1977). “Generalization with Individual Uniqueness: Modeling the Milgram Experiments.” Technical Report D-2508-2, System Dynamics Group, Sloan School of Management, MIT. 
  Personal versus Situa

Barry Richmond's model describing behavior and anxiety theory for the Milgram experiment. Richmond, B. (1977). “Generalization with Individual Uniqueness: Modeling the Milgram Experiments.” Technical Report D-2508-2, System Dynamics Group, Sloan School of Management, MIT.

 Personal versus Situational Dynamics: Implications of Barry Richmond’s Models of Classic Experiments in Social Psychology by James K. Doyle, Khalid Saeed, Jeanine Skorinko Department of Social Science and Policy Studies Worcester Polytechnic Institute 2008

See also CLE Class Notes 2014

BEACH Report 41 A decade of Australian general practice activity 2006–07 to 2015–16  book  University of Sydney 2016
BEACH Report 41 A decade of Australian general
practice activity 2006–07 to 2015–16 book University of Sydney 2016
 A general model of flows between hospital and the community with workshop elements. See also  IM-3200  for focus on frequent presenters with mental health issues

A general model of flows between hospital and the community with workshop elements. See also IM-3200 for focus on frequent presenters with mental health issues

 Causal loop diagram patient centric version of  Insight 691 , unfolding the complexity of medication management.

Causal loop diagram patient centric version of Insight 691, unfolding the complexity of medication management.

 WIP for Continuity of care ISO From  Wikipedia  Initial Insight Representation from ContSys Patient statechart split off at  IM-4010

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

Patient statechart split off at IM-4010
3 2 months ago
 Aim: To gain insight into what map and model representations in applied systems methods in  IM-1267  can assist identifying and explaining the improvement strategies (leverage points) described by Donella Meadows Places to Intervene  Article . The context is social learning for collective action to

Aim: To gain insight into what map and model representations in applied systems methods in IM-1267 can assist identifying and explaining the improvement strategies (leverage points) described by Donella Meadows Places to Intervene Article. The context is social learning for collective action to improve real world events. Information Sources are adapted from IM-920