Hourly arrival pattern added to IM-663 A work in progress model for ED daily average flows based on reported statistics by triage category with all triage categories aggregated. Based on a hospital performance report from  http://www.bhi.nsw.gov.au/publications/hospital_quarterly_3 

See IM-8221 for Triage splits WIP

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

WIP based on Nate Osgood's Motivation for Dynamic Simulation Models in System Science Lecture see Youtube video at 20:34

DIabetes incidence inflow, Prevalence stock and deaths outflow

Nurse workforce ageing chain showing effects of parenting, quits and enrollments on nurse numbers by age and average age.

Insight synthesis of exchanges to better understand the basis of this decision. Unstructured additions from GMcD

• SystemsWiki Focus Page
• LinkedIn VSI Discussion

Services planning for people with intellectual disability concept map. Stock and FLow model is Insight 668 and  RIch Picture is Insight  746

A network view of IM-731.Combination of several other insights under the regional tag, inspired by Padgett and Powell IM-9044

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

Adding change over time to relative risk, odds ratio and population attributable fraction epidemiology concepts see wikipedia and examples .

Adapted from Richard Normann (1991) Service Management Book Wiley Fig 14.6 p163

Love affairs and Differential equations. From Michael J Radzicki (1993) Dyadic processes,tempestuous relationships, and system dynamics Syst. Dyn. Rev. 9 (1) :79-94 

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.

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.

Reported services via medicare statistics and healthy communities (hc) PHN reports

Adapted from ​Systems approaches to public health by Alan Shiell and Penny Hawe See also Health System Efficiency IM and specific health outcome logic diagram example IM

Emergency care patient flows IM-6072 used as context to add confounders and potential unintended effects.

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

From Padgett and Powell's Draft Book Chapter 2003 Figure F Dynamic interaction of actors products and relations. See also their 2012 book on The Emergence of Organizations and Markets

Click +View Story on Bottom Left to unfold his wide view of Emergency care patient flows IM-6072 used as context to add confounders and potential indirect effects. See also IM-1010 for hospital fixes that fail, wiki for general Systems Archetypes and wiki for Leverage Points (There is also a health leverage points WIP wiki page)

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.

Business case for investment in national eHealth Infrastructure Programs

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