An exploration of interactions among 'fuzzy' qualitative concepts that interact to produce either tolerance or violent conflict. ​Z509 p43-49 System Zoo 3 by Hartmut Bossel.

WIP for proposal

Clone of IM-6072 which is a WIP based on Choice modelling and Mark Paich's Book and NZ work focus on Pre-ED Presentation choices, with ED and Post-ED care.  Addition of After hours 'as is' and 'to be' flow models for Medicare Locals

Dynamics of Emergency Department Crowding Initial View from the waiting room. Follows from IM-369 Sim and IM-340 CLD. Proceed to IM-349 

Rich picture version of causal loop diagram for medication errors, showing the importance of reporting, analyzing and fixing knowledge and process errors. Medication errors will tend to grow due to the use of more medications in more complex patients. This is exacerbated by the loss of staff knowledge by turnover and goal erosion in places with harmful errors.

WIP Elements from macroeconomics, neoliberalism and commercial determinants of health frameworks to provide a background to the effects of the universal basic income on health and wellbeing for the first 1000 days. UBI diagram modified from Johnson2021 article Expanded in Insight 2

From FIg.2 Past the Tipping Point:THe Persistence of Firefighting in Product Development by Nelson Repenning, Paulo Goncalves and Laura Black. Calif. Mgt. Review 43(4) p44-63 (2001). Also  From William E. Novak and  Linda Levine CMU SEI Sept 2010 Success in Acquisition: Using Archetypes to Beat the Odds paper and see webpage

Based on Gunderson Holling and Light. Barriers and Bridges to the Renewal of Ecosystems and Institutions book Columbia University Press 1995. esp Fig 12.1 p499 Table 12.1 p 502 and FIg 12.4 p 521 and IM-11581 Managing mess

A model of the ladder of inference which shows how we short circuit reality based on the assumptions and beliefs we develop IM-351. Combined with the cyclical scientific process described by Gary An.

Critical Systems Heuristics Boundary critique from Ulrich See also Critical Systems Thinking Insight

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

Addition to Program Evaluation Insight based on Health System Efficiency WHO Europe 2016 publication includes vital signs

Work in progress based on PA Sorokin's Reconstruction of Humanity, moving from egoistic to altruistic personalities, social institutions and an idealistic cultural supersystem

Expansion of IM-24317 for adding other funding insights Im-633 and 636 . See also IM-57110 contrasting economic drivers of mental health with other health care based on JHPPL David Mechanic 2016 issue articles, esp Glied

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.

Model combining system dynamics and agent based modeling. Based on Prochaska's Transtheoretical Model of Behaviour Change. See also preceding SD Version IM-574

Update to the original IM-636 from around 2002 based on 2017 discussion/inquiry into improving private health insurance in Australia 

Prochaska's transtheoretical model (TTM) of behavior change. See also Agent Based VersionIM-11578

WIP based on Health Research Policy and Systems Paper

Kidney replacement therapy dynamics simple model

Simple exposition of going solid article by Cook and Rasmussen 2005 after reading p156 section 4.1 of Modelling in Healthcare by CSMG See also Resilience Cs IM

The Dynamics of Human Service Delivery with  Agency LIfe Cycle dynamics added, from the Book by Levin, Roberts, Hirsch et al. Ballinger 1975 ISBN 0-88410-132-0

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.

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.