Regulation of resource allocation to service in response to service quality. A non-price-mediated resource allocation system. From Sterman JD Business Dynamics p172 Fig 5-27

The dynamics of health care spending, or why it keeps growing. Adapted from Fig 7.6 p154 of Sauwakon Ratanawijitrasin's PhD thesis SUNY Albany 1993 "The dynamics of health care finance: A feedback view of system behavior."

A Medical Imaging View of Patient Flows through ED Imaging Workup. See IM-375 for an extended map

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

From the Plausibility of life book esp p 220-227  Constraints that deconstrain

Addition of glucagon hormone action to control glucose homeostasis extended from IM-586

Clone of IM-806 modified to integrate AnyLogic Real world, Model World with Van de Ven Engaged Scholarship and Land Use Modelling approaches. See also Complex Decision Technologies IM

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.

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

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

Flows between acute hospital and aged care for older people.

Rich picture 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

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

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

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.

Upgrade of Kermack–McKendrick Epidemic SIR Infectious Disease Model (circa 2015) - 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.

Addition of a slider for susceptibles is equivalent to accumulated total cases

SARS, MERS AND COVID are similar virus types only differing in their sub genus

The COVID outbreak has reached 150,000 infected people

This simulation allows an attempt at predicting how long the virus will persist and its longevity dependence on its high speed massive infection numbers that have reached pandemic proportions

SARS reached 8,000 infected total and ran for 9 months before stopping

MERS 2012 is still killing 8 years later with patients dying even after using interferon to try and cure them

WIP for IT enabled regional health services. See also IM-14104 The Ecology of Medical Care