From Evans RG and Stoddardt GL  1990 paper Soc Sci Med 31(12)1347-63 , also published in a book by Evans, Barer and Marmor, Why are some people healthy and others not?: The determinants of population health. To IM-425 We add impacts of spending and a "Thermostat" setting for population health controlling health spending.

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.

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

Kidney replacement therapy dynamics: stock and flow and CLD (Forrester) diagram of the kidney dialysis and transplant CLD im-317

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

FBE WIP based on ithink proof of concept model by Mark Heffernan See IM-1689 for black and white version

OASIS  SOA Reference Architecture represents views from the perspectives of using, building, owning and managing the means for exchanging value, particpants claims of ownership and the rules of engagement. From http://bit.ly/wpI1yo

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.

Extension of IM-1401 to clinical judgments of risk and decisions to act  See medical decision making 2016 article abstract

Created in James Madison University's ISAT 341 Simulation and Modeling course by Joseph Straub and Andrew Funkhouser. Based on Mark Heffernan's Glucose-Insulin Insight Maker

Glucose Insulin Model Info:

Translated from Hormone.stm in Dynamic Modeling in the Health Sciences James L hargrove, Springer 1998, Ch 24 p255-261, by Mark Heffernan.

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

Model of Buffer Margin from Robert Wears thesis WIP

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

Update to the original IM-636 from around 2002 based on 2017 discussion/inquiry into improving private health insurance in Australia 

Linked concept version of Tanner's Clinical Judgment Model