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.

From fighting lions (fight or flight) to fighting feedbacks in complex systems. A single person cutting the Gordian knot to the dynamic complexity of rubik's cube. Think of multiple players with multiple misperceptions of the faces on the cube and conflicting goals about what the desired solution is. Worse still, without an accepted framework we dont even know if it's a cube or another structure. See also policy resistance IM-697

Detail from Incorporating organizational factors into Probabilistic Risk Assessment(PRA) of complex socio-technical systems: A hybrid technique formalization article. See full overview at  insight 

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

Modified from Mark Paich et al. 's book: Pharmaceutical product strategy. Fig 4.7 p 69. It formed the basis of a hypertension intervention discussion Aug-Sept 2010

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

Based on Ransohoff DF, McNaughton Collins M, Fowler FJ. Why is prostate cancer screening so common when the evidence is so uncertain? A system without negative feedback. Am J Med. 2002;113:663-7. See IM-15991 for a generic Stock Flow Map

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

Exploring the conditions of permanent coexistence, rather than gradual disappearance of disadvantaged competitors. ​Z506 p32-35 System Zoo 3 by Hartmut Bossel.

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

This is a launchpad for patient flow insights for flows through the emergency department and hospital, including the broader community context. It also includes links to other insights relevant to ED flow improvement.

Model of Buffer Margin from Robert Wears thesis WIP

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

Causal Loop Diagram of the Dynamics of Emergency Department Crowding Initial View from the waiting room