John Kingdon's Theory of Streams in the politics of the policy process. From the  book  Kingdon, John (1999)  Agendas Alternatives and Public Policies . Longman New York. Click on View Story at the bottom left.

John Kingdon's Theory of Streams in the politics of the policy process. From the book Kingdon, John (1999) Agendas Alternatives and Public Policies. Longman New York. Click on View Story at the bottom left.

 From Fig.1 Communication for Social Change: An Integrated Model for Measuring the Process and Its Outcomes/Maria Elena Figueroa et al (2002)  paper  

From Fig.1 Communication for Social Change: An Integrated Model for Measuring the Process and Its Outcomes/Maria Elena Figueroa et al (2002) paper 

Simplest ED Model for Daily ED Performance with 1 ED area rather than 2 in  IM-10571 . Currently runs over a weekend and calibrated roughly to Weekend Data.Ward net discharges are extended in  IM-12414 . This insight IM-11936 is the Master Version with the story added. The previous running model, no
Simplest ED Model for Daily ED Performance with 1 ED area rather than 2 in IM-10571. Currently runs over a weekend and calibrated roughly to Weekend Data.Ward net discharges are extended in IM-12414. This insight IM-11936 is the Master Version with the story added. The previous running model, now without a story, is at IM-11079
This is a first attempt at identifying the actors that may need to be involved in the development of the model - at one stage or other.
This is a first attempt at identifying the actors that may need to be involved in the development of the model - at one stage or other.
A combination of qualitative and quantitative methods for implementing a systems approach, including virtual intervention experiments using computer simulation models. See also  Complex Decision Technologies IM  Interventions and leverage points added in  IM-1400  (complex!) 
A combination of qualitative and quantitative methods for implementing a systems approach, including virtual intervention experiments using computer simulation models. See also Complex Decision Technologies IM
Interventions and leverage points added in IM-1400 (complex!) 
 Rich picture version of Causal loop diagram based on Jack  Homer's paper Worker burnout: a dynamic model with implications  for prevention and control System Dynamics Review 1985 1(1)42-62 See  IM-333  for the Simulation model and  IM-2178  for a related Causal Loop Diagram of Project Turnover 
  

Rich picture version of Causal loop diagram based on Jack  Homer's paper Worker burnout: a dynamic model with implications  for prevention and control System Dynamics Review 1985 1(1)42-62 See IM-333 for the Simulation model and IM-2178 for a related Causal Loop Diagram of Project Turnover

 

An example to illustrate how a large proportion of a healthcare system could be modelled
An example to illustrate how a large proportion of a healthcare system could be modelled
3 last week
 Here we have a basic SEIR model and we will investigate what changes would be appropriate for modelling the 2019 Coronavirus 

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

 Simple Bass diffusion modified from Sterman Business Dynamics Ch9. Compare with the SI infectious disease model Insight  584 .

Simple Bass diffusion modified from Sterman Business Dynamics Ch9. Compare with the SI infectious disease model Insight 584.



This is a high level system dynamics model which is built to
determine the dynamic relationships of the FSA and Followups capacity.
Therefore, it can help clinicians to find out the optimistic method in order to
reduce the waiting list. At past clinicians were seeing more FSA patients,
however, af
This is a high level system dynamics model which is built to determine the dynamic relationships of the FSA and Followups capacity. Therefore, it can help clinicians to find out the optimistic method in order to reduce the waiting list. At past clinicians were seeing more FSA patients, however, after few months, the followups patients overwhelmed the clinics. Therefore waiting list has been built up again. By running this model, clinicians can find out the balanced leverage point(s). New Model has been developed, this is a very draft model.
 Causal loop diagram of the dynamics of emergency and elective admissions competing for vacant ward beds in a hospital. From 
 Lane, David C. and Monefeldt, C. and Rosenhead, Jonathan (2000) Looking in the wrong place for healthcare improvements: a system dynamics study of an accident and emergency

Causal loop diagram of the dynamics of emergency and elective admissions competing for vacant ward beds in a hospital. From

Lane, David C. and Monefeldt, C. and Rosenhead, Jonathan (2000) Looking in the wrong place for healthcare improvements: a system dynamics study of an accident and emergency department.  Journal of the Operational Research Society, 51 (5). pp. 518-531. ISSN 0160-5682 

See IM-7981 for Simulation Model

 Decision making accuracy depends on ecological validity of indicator uses and subjective use of cues (fallible tangible indicators) Extended to clinical risk and action in  IM-62657  See medical decision making 2016 article  abstract

Decision making accuracy depends on ecological validity of indicator uses and subjective use of cues (fallible tangible indicators) Extended to clinical risk and action in IM-62657 See medical decision making 2016 article abstract

 Hannon and Ruth Modeling Dynamic Biological Systems p67 adapted to Bond Graph Kinetic Modeling Metabolic Map Layout of insight  IM-855  See also  IM-2235  for unfolding version

Hannon and Ruth Modeling Dynamic Biological Systems p67 adapted to Bond Graph Kinetic Modeling Metabolic Map Layout of insight IM-855 See also IM-2235 for unfolding version

 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.

 Hannon and Ruth Modeling Dynamic Biological Systems p67 adapted to Bond Graph Kinetic Modeling Metabolic Map Alternate Layout of insight  IM-857  Here Join and Split Flows are unfolded rather than using folders around the Stocks.

Hannon and Ruth Modeling Dynamic Biological Systems p67 adapted to Bond Graph Kinetic Modeling Metabolic Map Alternate Layout of insight IM-857 Here Join and Split Flows are unfolded rather than using folders around the Stocks.

Clusters of interacting methods for improving health services network design and delivery. Includes Forrester quotes on statistical vs SD methods and the Modeller's dilemma. Simplified version of  IM-14982  combined with  IM-17598  and  IM-9773
Clusters of interacting methods for improving health services network design and delivery. Includes Forrester quotes on statistical vs SD methods and the Modeller's dilemma. Simplified version of IM-14982 combined with IM-17598 and IM-9773
29 11 months ago
 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.

510 6 months ago
 Part of Urea Kinetic model for Clearance Experiments

Part of Urea Kinetic model for Clearance Experiments

 Jones AP, Homer JB, Murphy DL, Essien JDK, Milstein B, Seville DA.  
 Understanding diabetes population dynamics through simulation modeling  
 and experimentation. American Journal of Public Health 2006;96(3):488-494. 
  http://ajph.aphapublications.org/cgi/content/abstract/96/3/488

Jones AP, Homer JB, Murphy DL, Essien JDK, Milstein B, Seville DA.

Understanding diabetes population dynamics through simulation modeling

and experimentation. American Journal of Public Health 2006;96(3):488-494.

http://ajph.aphapublications.org/cgi/content/abstract/96/3/488

Simplest ED Model for Daily ED Performance with 1 ED area rather than 2 in  IM-10571 . Currently runs over a weekend and calibrated roughly to Weekend Data.Ward net discharges are extended in  IM-12414 . The Master Version of this, with the story added is at  IM-11936  Resplit into 2 areas at  IM-15
Simplest ED Model for Daily ED Performance with 1 ED area rather than 2 in IM-10571. Currently runs over a weekend and calibrated roughly to Weekend Data.Ward net discharges are extended in IM-12414. The Master Version of this, with the story added is at IM-11936 Resplit into 2 areas at IM-15023
 This map is a WIP derived from the MIT D-memo 4641 presentation by Nelson Repenning 1996 and the paper "Nobody Ever Gets Credit for Fixing Problems that Never Happened: Creating and Sustaining Process Improvement" by Nelson P. Repenning and John D Sterman.  http://bit.ly/jCXGKL  See  Insight 9781  

This map is a WIP derived from the MIT D-memo 4641 presentation by Nelson Repenning 1996 and the paper "Nobody Ever Gets Credit for Fixing Problems that Never Happened: Creating and Sustaining Process Improvement" by Nelson P. Repenning and John D Sterman. http://bit.ly/jCXGKL See Insight 9781 for a simulation of this model. This map adds additional features mentioned in the article to the bare bones simulation in IM-9781