From MIT ESD work (de Weck Ilities ) esp on Survivability (Medecki) http://bit.ly/HVsceb and Unarticulated Value (Ross) 2006 PhD pdf

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

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.

Incorporating organizational factors into Probabilistic Risk Assessment(PRA) of complex socio-technical systems: A hybrid technique formalization article. For more detail of the blue area see performance shaping factors Insight 

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

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."

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.

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

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

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

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.

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

System Zoo Z111 H Bossel p47 a variant of Michaelis Menten Enzyme Kinetics. See also IM-854 for Hannon and Ruth and IM-855 for receptor version and IM-856 for a bond graph view

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

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.

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