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

Current and proposed Structure of CCP and related Models expanding on the details provided in the Project Completion plan IM-101760

Downstream and upstream responses, from Jack Homer , Gary HIrsch and Bobby Milstein. Chronic Illness in a Complex Health Economy  Syst. Dyn. Rev. 23, 313-343 (2007). Conference paper available at  http://bit.ly/JCO68V

From blog entry understandingsociety

Meaning and Causation. Expanded from IM-1163

WIP example of Services oriented multiscale computable narrative synthesis focussed on Coping carefully with diabetes

WIP map of ebola in west Africa based on African Affairs Article and SEIR framework

Broad and detailed Linked concept version of Tanner's Clinical Judgment Model, with the addition of clinical reasoning cycle concepts from T Levett-Jones et al Nurse Education Today 30 (2010) 515-520 and Kathie Lasater (2007) Clinical Judgment Development: Using Simulation to Create an Assessment Rubric. Journal of Nursing Education 46(11)p 496-503

Adapted from Fig.1.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

Kermack–McKendrick Epidemic SIR Infectious Disease Model - 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.

A Susceptible-Infected-Recovered (SIR) disease model with waning immunity

WIP based on WHO Decade of Healthy Ageing baseline report  2020 Annex

To avoid blood sugar spikes, eat first fiber, then proteins and fats, and lastly, carbohydrates: pasta and sweets in general.

This video shows how to use this model. It shows the blood glucose results when you adjust the time at which you eat each of these types of food.

The video was made by capturing the screen of this computer simulation model, based on System Dynamics, and is intended exclusively to conceptually show in an interactive and dynamic way what happens to blood glucose when the order in which foods are eaten is changed, as described in detail in the book "Glucose Revolution: The Life-Changing Power of Balancing Your Blood Sugar" by Jessie Inchauspé.

Clone of IM-93836 with Health Expenditure australia 2016-7 Table A3 added with change

WIP Ideas from Science Special Issue May 2014

WIP expanding Sense of Coherence using simplified diagrams from super 2016 article,  amirkhan 2003 article and polhuis 2020 article

OASIS Technical Reference Model for SOA Ontology. SOA is an architectural style that supports service-orientation. The ontology contains classes and properties corresponding to the core concepts of SOA. For ontology engineering see Wikipedia entry

Nurse workforce ageing chain showing effects of parenting, quits and enrollments on nurse numbers by age and average age.

A simple error chain of medication errors for patients in hospital. Serious medication errors in inpatients with drug orders sometimes result in Adverse Drug Events (ADE) and Deaths. See next IM-646

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

Forcings and feedbacks based on Tom Fiddaman, James Hansen and other feedback and cycle diagrams

From PLOS One Article April 2012 Worni, M et al System Dynamics to Model the Unintended Consequences of Denying Payment for Venous Thromboembolism after Total Knee Arthroplasty