The cyclical scientific process described by Gary An.

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

Grimm's ODD and Nate Osgood's ABM Modeling Process and Courses See also Pattern Oriented Modelling IM-3834

From Michael Hiete, Mirjam Merz and Frank Schultmann (2011) Scenario-based impact analysis of a power outage on healthcare facilities in Germany IJDRBE 2,3 p222-244

Attempting to outdo an opponent leads to escalation. A weaker response leads to De-escalation. A slightly more complex  form of Insight 972.  ​Z508 p36-38 System Zoo 3 by Hartmut Bossel.

Model of Buffer Margin from Robert Wears thesis WIP

A rich picture representation of the interactions described in Producing Health Consuming HEalth Care and usually referred to as the EBM Model or Field Theory of Health

Here we have a basic SEIR model and we will investigate what changes would be appropriate for modelling the 2019 Coronavirus.

We add simple containment meassures that affect two paramenters, the Susceptible population and the rate to become infected.

The initial parametrization is based on the suggested current data. The initial population is set for Catalonia.

The questions that we want to answer in this kind of models are not the shape of the curves, that are almost known from the beginning, but, when this happens, and the amplitude of the shapes. This is crucial, since in the current circumstance implies the collapse of certain resources, not only healthcare.

The validation process hence becomes critical, and allows to estimate the different parameters of the model from the data we obtain. This simulation approach allows to obtain somethings that is crucial to make decisions, the causality. We can infer this from the assumptions that are implicit on the model, and from it we can make decisions to improve the system behavior.

Yes, simulation works with causality and Flows diagrams is one of the techniques we have to draw it graphically, but is not the only one. On https://sdlps.com/projects/documentation/1009 you can review soon the same model but represented in Specification and Description Language.

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

Linked concept version of Tanner's Clinical Judgment Model

Extension of IM-14124 with an adjusted bed capacity stock. For backlog and services see IM-8382

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.

eHealth Project Development Roadmap from Center for eHealth Research and Disease Management http://www.ehealthresearchcenter.org/wiki/index.php/Main_Page

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 

An overview of Thomas A Goudge's Book on The Thought of CS Peirce Dover NY 1950 and Thomas Knight's Book Charles Peirce NY 1965. See also causality insight

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.