Adapted from Fig.5, from Ana V Diez Roux (2011) Complex Systems Thinking May Help Us Transcend Current Impasses in Health Disparities Research Am J Public Health 2011;101 1627-1634 http://ajph.aphapublications.org/cgi/content/abstract/101/9/1627?etoc
Area and Individual Health Factor interactions
Based on Nate Osgood's April 2014 Singapore Presentation Youtube video and Lyle Wallis material Gojii at DecisioTech See also Complex Decison Technologies IM as a more polished version
Complex Intervention Modeling Areas
Dieses konzeptionelle Model ohne Simulation gibt einen stark vereinfachten Überblick über wichtige Bestandteile der endokrinen Stressreaktion.
Das Modell orientiert sich an Informationen aus den Büchern:
Rensing, L., Koch, M., Rippe, B., Rippe, V. (2006). Mensch im Stress : Psyche, Körper, Moleküle. Heidelberg; München : Elsevier, Spektrum Akad. Verl.
UND
Schandry, R. (2011). Biologische Psychologie : mit Online-Materialien (3. Aufl.) Stress (S.318 – 329). Weinheim ; Basel : Beltz.
Vereinfachungen und Fehler sind auf den Ersteller des Modells zurückzuführen!
Die neuroendokrine Stressreaktion
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
Health Care Supply Demand Dynamics
WIP based on Health Research Policy and Systems Paper
Cure Crowding Out Prevention
Adapted from Fig 5.1 p.186 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
Applied Systems Theory Map
Based on Psychological Medicine Dec 2015 article Depression as a systemic syndrome: mapping the feedback loops of major depressive disorder by A. K. Wittenborn, H. Rahmandad, J. Rick and N. Hosseinichimeh, mentioned here
Clone of Depression Dynamics
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
Stock Flow Map of MIT SDM
Seminar Presentation on Improving an Eye Clinic in India. Compare with Service
work pressure insight CLS
Extended to include time pressures within the clinical encounter insight
Clinic Services Time Pressures
WIP for a HEalth Care Learning Thread for SOHT a proof of concept before adding to SysNet
Patient Flow Learning Threads
Hourly arrival pattern added to IM-663 A work in progress model for ED daily average flows based on reported statistics by triage category with all triage categories aggregated. Based on a hospital performance report from http://www.bhi.nsw.gov.au/publications/hospital_quarterly_3
See IM-8221 for Triage splits WIP
ED flows by triage totals with hourly arrival
Part of Urea Kinetic model for Clearance Experiments
Dialysis blood flow
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
Cognitive Science Map
Addition of glucagon hormone action to control glucose homeostasis extended from IM-586
Clone of Glucose regulation CLD 2
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.
Clone of COVID-19 spread
WIP Stock Flow representation of Panarchy Adaptive Cycles
Adaptive Cycles Stock Flow
Shows the flow of organs from donors to recipients to explore places to improve the transplant rate
Organ donation and transplant flows
Concept map about how a thermostat works. Slightly adapted from http://cmap.ihmc.us/docs/linkingwords.html See how this changed after SD modelling at IM-736
Thermostat Concept Map
Some AnyLogic Hybrid Model methods and examples taken from Nate Osgood's Bootcamps around 2017 See Nate's AnyLOgic Examples page and links to hybrid examples for more recent videos and examples
Hybrid Health Modeling Strand
Go to Gene Bellinger's insight version with video link This common archetype of systems that include relapse or recidivism allows exploration of the unintended effects of increasing upstream capacity and swamping downstream capacity. The increase in the relapse rate eventually returns to swamp upstream capacity as well. A social welfare example, based on a TANF case study, from How Small System Dynamics Models Can Help the Policy Process. N. Ghaffarzadegan, J. Lyneis, GP Richardson. System Dynamics Review 27,1 (2011) 22-44 abstract Conference version here
Swamping Insight
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.
Diffusion of Medical Technology
Modelling prevalence of cardiovascular disease within a population using agent based modelling. The initial population is defined within Tools->Variables and macros.
This is a partial model that is not yet complete.
Clone of Cardiovascular Model V1.0
Modelling prevention and treatments to mitigate mortality from cardiovascular disease.
Cardiovascular Disease
