Rich Picture Version of Insight 386 The Dynamics of Human Service Delivery General Theory from the Book by Levin, Roberts, Hirsch et al. Ballinger 1976 ISBN 0-88410-132-0. See also Services Intro IM

Modified from Sterman (2006) and Gene Bellinger's Assumptions IM-351 by Dr Rosemarie Sadsad UNSW See also Complex Decision Technologies IM and IM-63975

Dynamics of Emergency Room Crowding with treatment spaces. Here we investigate the effect of constrained spaces and ignore any changes in treatment time or staffing effects. Many of the consequences occur before treatment with potential arrivals being turned away and arrivals leaving without being treated.  

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

Working model of Erythropoiesis and Erythropoiesis Stimulating Agents (ESA) Dosing in Anemia due to Renal Failure from Jim Rogers See Stock Flow Map  Insight 810  and Simpler Dosing Model at IM-26182

From the Plausibility of life book esp p 220-227

From Werner Ulrich's JORS Articles Operational research and critical systems thinking – an integrated perspective. Part 1: OR as applied systems thinking. Journal of the Operational Research Society advance online publication (14 December 2011). and Part 2 :OR as argumentative practice.

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.

Rich Picture CLD from Yaman Barlas and Hakan Yasarcan (2008) A Comprehensive Model of Goal Dynamics in Organizations:Setting, Evaluation and Revision in Complex Decision Making Theory and Practice H. Qudrat-Ullah J.M. Spector P.I. Davidsen (Eds.) Springer 2008 available online paper

WIP Clone of IM-435 for Research (IM-345 was https://insightmaker.com/insight/435/Technology-and-Healthcare-Costs-and-Outcomes-2A simplified dynamic model, adapted from Engineering perspectives on healthcare delivery: Can we afford technological innovation in healthcare? Rouse, William B Systems Research and Behavioral Science 2009 Vol 26 (5) p573-582 abstract  Developed by Mark Heffernan See also IM-614 for learning effects.

DIabetes incidence inflow, Prevalence stock and deaths outflow

This common archetype of systems that include relapse or recidivism allows exploration of the unintended effects of increasing upstream capacity and swamping downstream capacity. The increase in the relapse rate eventually returns to swamp upstream capacity as well. A social welfare example, based on a TANF case study, from How Small System Dynamics Models Can Help the Policy Process. N. Ghaffarzadegan, J. Lyneis, GP Richardson. System Dynamics Review 27,1 (2011) 22-44 Conference version at http://bit.ly/HlxtZj See IM 1769 for updated simpler version without serialization of the downstream stock