A Susceptible-Infected-Recovered (SIR) disease model with waning immunity

This model is based on the article Dynamic modeling of Infectious Diseases, An application to Economic Evaluation of Influenza Vaccination Farmacoeconomics 2008, 26(1): 45-56 .

And EBOLA

Benefits and context described in Atkinson S et al (2000) Going down to the local: incorporating social organisation and political culture into assessments of decentralised health care Social Science & Medicine 51(4) 619-636 http://dx.doi.org/10.1016/S0277-9536(00)00005-8 in Gilson L, ed. (2012). Health Policy and Systems Research: A Methodology Reader Alliance for Health Policy and Systems Research, World Health Organization p166-183

Hypertension Generic Patient Flow Causal Loop Diagram version of Insight 305

Concept map of patient flow through ED

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.

Online Community to grow the use and effectiveness of Health Modelling using multiple methods

WIP AnyLogic Hybrid Model methods and examples taken from Nate Osgood's Bootcamps around 2017

Simple Bass diffusion modified from Sterman Business Dynamics Ch9. Compare with the SI infectious disease model Insight 584.

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

From Gooch 2011 article JAMIA  Computerization of workflows, guidelines, and care pathways: a review of implementation challenges for process-oriented health information systems  Relevant to Learning insight and Problem Knowledge Coupler insight 

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

This simple high level model shows the basic feedback balancing loop for health services. There are many other loops and component interactions at multiple scales that add to the complexity See areas of expenditure IM for some component splits and hospital value IM for some service linkages

Improvement Science as one of the clusters of interacting methods for improving health services network design and delivery using complex decision technologies IM-17952

Early Modifications to IM-875 WIP for Continuity of care dynamic model derived from ISO http://bit.ly/p0LJn4 See also IM-4008 for later versions

A structure used in childhood obesity intervention mechanisms, currently a map WIP which can be enhanced into a simulation

Aim: To gain insight into what map and model representations in applied systems methods in IM-1267 can assist identifying and explaining the improvement strategies (leverage points) described by Donella Meadows Places to Intervene Article. The context is social learning for collective action to improve real world events. Information Sources are adapted from IM-920

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.

Rich picture 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

Based on TBH presentation to AIHI  Jan 30 2014

From SDR Jan 2012 article  and 1988 killian award lectures Youtube