WIP Based on Sheldrick Implementation science 2016 article A system dynamics model of clinical decision thresholds for the detection of developmental-behavioral disorders. Vensim model modified to show patterns

 

Examples of macroanalysis relevant to representing causal mechanisms linking genes to diseases from darden2018 MecCog article and 2017 Product to Process article

Clusters of interacting methods for improving health services network design and delivery. Simplified version of IM-14982 combined with IM-17598 and IM-9773

Summary of Buchanan 2008 AJPH article

Continuity of care includes continuity of information, management (ends and means) and meaningful care relationships. This includes managing inevitable changes. This conceptual information overview is Based on Contsys ehealth and workflow ISO CD 13940 (E) UML Class DIagram See IM-4008 for clinical process model

WIP based on Emery Roe's 2013 book. See also Dynamics in Action IM-3239 for more on behavior and The Art of the State IM-11962 for more on Grid-Group Cultural Theory

From Brown and Heathcote's 2008 Paper on the simplest model of Choice ResponseTime , a Tutorial paper and a Workload capacity paper that estimates drift rate v for individuals with single and multiple targets

This is a high level system dynamics model which is built to determine the dynamic relationships of the FSA and Followups capacity. Therefore, it can help clinicians to find out the optimistic method in order to reduce the waiting list. At past clinicians were seeing more FSA patients, however, after few months, the followups patients overwhelmed the clinics. Therefore waiting list has been built up again. By running this model, clinicians can find out the balanced leverage point(s).

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

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

Based on Nate Osgood's April 2014 Singapore Presentation Youtube video and Lyle Wallis material Gojii at DecisioTech See also Complex Decison Technologies IM as a more polished version

Diagram 18 from From Gerrit Van Wyk's MEDICINE AND MEDICAL PROCESS AS A LEARNING SYSTEM  http://systems-thinking.ca/myfiles/MPhil%20Dissertation.pdf 

Gavan Lintern's Decision Ladder of Cognitive states and processes associated with the Ladder of Inference IM-351 

From Walrave ISDC2014 paper Counteracting the success trap in publically owned corporations

Festinger's theory of cognitive dissonance represented in feedback loops from p256 Fig 4.23 of George Richardson (1991) Book Feedback Thought in Social Science and Systems Theory reviewed here

From Schluter et al 2017 article A framework for mapping and comparing behavioural theories in models of social-ecological systems COMSeS2017 video. See also Balke and Gilbert 2014 JASSS article How do agents make decisions? (recommended by Kurt Kreuger U of S)

This is a high level system dynamics model which is built to determine the dynamic relationships of the FSA and Followups capacity. Therefore, it can help clinicians to find out the optimistic method in order to reduce the waiting list. At past clinicians were seeing more FSA patients, however, after few months, the followups patients overwhelmed the clinics. Therefore waiting list has been built up again. By running this model, clinicians can find out the balanced leverage point(s).

Decision making accuracy depends on ecological validity of indicator uses and subjective use of cues (fallible tangible indicators) Extended to clinical risk and action in IM-62657 See medical decision making 2016 article abstract

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

This is a high level system dynamics model which is built to determine the dynamic relationships of the FSA and Followups capacity. Therefore, it can help clinicians to find out the optimistic method in order to reduce the waiting list. At past clinicians were seeing more FSA patients, however, after few months, the followups patients overwhelmed the clinics. Therefore waiting list has been built up again. By running this model, clinicians can find out the balanced leverage point(s). New Model has been developed, this is a very draft model.

This is a high level system dynamics model which is built to determine the dynamic relationships of the FSA and Followups capacity. Therefore, it can help clinicians to find out the optimistic method in order to reduce the waiting list. At past clinicians were seeing more FSA patients, however, after few months, the followups patients overwhelmed the clinics. Therefore waiting list has been built up again. By running this model, clinicians can find out the balanced leverage point(s). New Model has been developed, this is a very draft model.

Extension of IM-1401 to clinical judgments of risk and decisions to act  See medical decision making 2016 article abstract

Festinger's theory of cognitive dissonance represented in feedback loops from p256 Fig 4.23 of George Richardson (1991) Book Feedback Thought in Social Science and Systems Theory reviewed here

From A Philosophical Basis of Medical Practice Toward a Philosophy and Ethic of the Healing Professions Edmund D Pellegrino David C Thomasma OUP Oxford 1981 Ch6 The Anatomy of Clinical Judgments p119-152 Note judgments have consequences of action, decisions can separate out the knowledge used.