The World3 model is a detailed simulation of human population growth from 1900 into the future. It includes many environmental and demographic factors.
THIS MODEL BY GUY LAKEMAN, FROM METRICS OBTAINED USING A MORE COMPREHENSIVE VENSIM SOFTWARE MODEL, SHOWS CURRENT CONDITIONS CREATED BY THE LATEST WEATHER EXTREMES AND LOSS OF ARABLE LAND BY THE ALBEDO EFECT MELTING THE POLAR CAPS TOGETHER WITH NORTHERN JETSTREAM SHIFT NORTHWARDS, AND A NECESSITY TO ACT BEFORE THERE IS HUGE SUFFERING.
BY SETTING THE NEW ECOLOGICAL POLICIES TO 2015 WE CAN SEE THAT SOME POPULATIONS CAN BE SAVED BUT CITIES WILL SUFFER MOST.
CURRENT MARKET SATURATION PLATEAU OF SOLID PRODUCTS AND BEHAVIORAL SINK FACTORS ARE ALSO ADDED
Use the sliders to experiment with the initial amount of non-renewable resources to see how these affect the simulation. Does increasing the amount of non-renewable resources (which could occur through the development of better exploration technologies) improve our future? Also, experiment with the start date of a low birth-rate, environmentally focused policy.
2014 Weather & Climate Extreme Loss of Arable Land and Ocean Fertility - The World3+ Model: Forecaster
Multiple control mechanisms applied to a services framework See also Service delivery governance constraints IM-3542
Managing Health Service Use
From Adapting ‘Agility’ to Healthcare Service Delivery, by Tom Rust, Khalid Saeed, Isa Bar-On, Oleg Pavlov Paper from July 2013 System dynamics Conference Cambridge MA and also 2012 Conference paper Could be extended by adding dynamics described in going solid insight
Care Service Capacity Adjustment
How many hospital beds will we need over the next 20 years? WIP based on HDWA work esp Compile14. A top down approach from the state level.
Hospital Network Capacity Planning
Causal loop diagram unfolding story based on Jack Homer's paper Worker burnout: a dynamic model See IM-333 for the Simulation model and IM-2178 for a related Causal Loop Diagram of Project Turnover
Burnout Dynamics CLD rich pic
Rich picture CLD of Tradeoffs in Responses to Work Pressure in the Service Industry by Rogelio Oliva California Mgt Review 2001 43(4) 26-43 paper
Responses to Service Work Pressure
BEACH Report 41 A decade of Australian general
practice activity 2006–07 to 2015–16 book University of Sydney 2016
Primary Care GP Activity Australia
A simple 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.
Health & Health Care
WIP for LHN Individual Hospital O Month of October 2013 linking monthly NWAUs and same and overnight activities from ED and Elective Surgery (ES)
Individual Hospital Monthly Performance
The effects of subsidies and incentives for private health insurance on the mix of public and private hospital use. The central role of adverse selection/moral hazard on private health insurance sustainability. See also updated version around 2017
Health Insurance and Service Dynamics
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
Implementing Chronic Care Management
WIP Patient Flow improvement strategies for a City Hospital with 3 years historical data and two year planning horizon. Built after a Generic Teaching Hospital Model IM-10346 A simplified stock flow map is at IM-399
Hospital Seasonal ED and Ward Flow Improvement
The effects of subsidies and incentives for private health insurance on the mix of public and private hospital use. The central role of adverse selection/moral hazard on private health insurance sustainability. See also updated version around 2017
Clone of Health Insurance and Service Dynamics
WIP Simplified Patient Flow map of features in a SD simulation model of performance of a City Hospital over 5 years. Built after a Regional 20 year planning model IM-10290 The simulation is a large ithink model built by Mark Heffernan
City Hospital Performance over 5 years
Based on Ransohoff DF, McNaughton Collins M, Fowler FJ. Why is prostate cancer screening so common when the evidence is so uncertain? A system without negative feedback. Am J Med. 2002;113:663-7. See IM-15991 for a generic Stock Flow Map
Prostate Cancer Screening
A generic stock and flow map of Cancer Screening and Treatment. See also IM-1525 for a specific Prostate PSA Map and Reference See IM-107014 for a more detailed prostate cancer specific map
Cancer Stock Flow Map
Clone of Clone 4of IM 27348, of JPS IM-27150 of original JPS IM-14117 See reference in diagram notes. WIP for Environment part of primary care regional model
Clone 5 The Ecology of Medical Care
OASIS SOA Reference Architecture represents views from the perspectives of using, building, owning and managing the means for exchanging value, particpants claims of ownership and the rules of engagement. From http://bit.ly/wpI1yo
SOA Reference Architecture
A simple 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.
Clone of Health & Health Care
Jack Homer's model via ithink and Mark Heffernan. From Jack's SDR paper Worker burnout: a dynamic model See IM-641 for the Causal loop diagram
Burnout Dynamics
A network view of IM-731.Combination of several other insights under the regional tag, inspired by Padgett and Powell IM-9044
Regional health supply and demand networks
Jenny W. Rudolph Nelson P.Repenning Disaster Dynamics: Understanding the Role of Quantity in Organizational Collapse Administrative Science Quarterly,47(2002):1-30 paper
Disaster Dynamics
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
Human Service Agency Life Cycle
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
Cost Quality Workload Dynamics
