WIP detail of ED Clinical processes with focus on Stabilising and Deciding how to Admit or Discharge safely, the Disposition decision. For more aggregated views see IM-8237 for flows and IM-6913 for Physician Delegate Agent Interactions

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 Zahra Mohaghegh, Reza Kazemi, Ali Mosleh Reliability Engineering and System Safety (2009) 94 5 p1000–1018 http://www.sciencedirect.com/science/article/pii/S095183200800269X. THis overview has a more detailed area in Insight 1077

This model shows the dynamics of use of a new medical technology based on its scope of use and perceived relative benefit. The technology needs cumulative usage to fix its glitches, and the benefits will be diluted  as the scope of use widens.

From Nancy Leveson Vioxx Recall Study in CH8 Engineering a Safer World and Couturier's MIT ESD Thesis

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

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

Concept map of patient flow through ED

Dynamic system underlying project life cycles From Roberts Edward B The Dynamics of Research and Development p5 Harper & Row NY 1964

Addition to Program Evaluation Insight based on Health System Efficiency WHO Europe 2016 publication includes vital signs

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

Adapted from Lane, David C. and Husemann, E. (2008) Steering without Circe: attending to reinforcing loops in social systems. System dynamics review, 24 (1). pp. 37-61. ISSN 0883-706 paper abstract  See also Conceptual hybrid mapping IM

IPCC Extreme weather events combined context diagrams  FBE WIP

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.

An adaptation of the URBAN1 Model from Navid Ghaffarzadegan, John Lyneis and George P Richardson's How small system dynamics models can help the public policy process. System Dynamics Review 27: 22-44 (2011) Conference version at http://bit.ly/HlxtZj  and LA Alfeld and AK Graham's Introduction to Urban Dynamics 1974 p 195.

An element of Perspectives: The Foundation of Understanding and Insights for Effective Action. Register at http://www.systemswiki.org/

WIP for Continuity of care ISO From Wikipedia Initial Insight Representation from ContSys

IM-4008 with split off patient statechart See IM-2846 for Agent with infectious disease and IM-4031 for additional professional statechart

From blog entry understandingsociety

Meaning and Causation. Expanded from IM-1163

See systemswiki page

Summary of several articles on social marketing

A simple generic rich picture view of interactions among concerned people with needs services and resources and abilities (including learning), which can be used as a pattern for many individual health care insights.

Showing how multiple effect loops for private patients in public hospitals can be represented as a causal loop diagram (CLD)

Simplified version of IM-852  Erythropoiesis Stimulating Agents (ESA) Dosing in Anemia due to Renal Failure from Jim Rogers See Stock Flow Map  Insight 810 

Kidney replacement therapy dynamics: causal loop diagram of the kidney dialysis and transplant model