Learning Models

These models and simulations have been tagged “Learning”.

Related tagsHealth Care

 Technology learning curve calculations see  IM-614  for wider technology and healthcare costs context

Technology learning curve calculations see IM-614 for wider technology and healthcare costs context

 Replaced by  IM-9781  Clone of  IM-752  map for working simulation model This model is derived from " Nobody Ever Gets Credit for Fixing Problems that Never Happened: Creating and Sustaining Process Improvement " by Nelson P. Repenning and John D Sterman. An expanded map is at  IM-1918 .

Replaced by IM-9781 Clone of IM-752 map for working simulation model This model is derived from "Nobody Ever Gets Credit for Fixing Problems that Never Happened: Creating and Sustaining Process Improvement" by Nelson P. Repenning and John D Sterman. An expanded map is at IM-1918.

 Evolution of eHEalth focus from Documenting, to Workflow to Assisting Clinical Judgement. Conceptual confusion among data, information and knowledge models and management. 

Evolution of eHEalth focus from Documenting, to Workflow to Assisting Clinical Judgement. Conceptual confusion among data, information and knowledge models and management. 

 IM-1175 with computable arguments, based on ideas from Micropublications  paper  about Claims, Evidence, Representations and Context Networks

IM-1175 with computable arguments, based on ideas from Micropublications paper about Claims, Evidence, Representations and Context Networks

 Clone of IM-752 This model is derived from the paper "Nobody Ever Gets Credit for Fixing Problems that Never Happened: Creating and Sustaining Process Improvement" by Nelson P. Repenning and John D Sterman with Intent Act Effect and Mental models added to show double loop learning IM-619 with IM-89

Clone of IM-752 This model is derived from the paper "Nobody Ever Gets Credit for Fixing Problems that Never Happened: Creating and Sustaining Process Improvement" by Nelson P. Repenning and John D Sterman with Intent Act Effect and Mental models added to show double loop learning IM-619 with IM-897 and IM-1897 ideas. http://bit.ly/jCXGKL

 William T. Powers insight that animate behavior is the purposeful control of perception. Behavior exists to control perceptual signals; internal reference signals are purposes. Continual reorganization of ends and means in the face of obstacles is Learning.

William T. Powers insight that animate behavior is the purposeful control of perception. Behavior exists to control perceptual signals; internal reference signals are purposes. Continual reorganization of ends and means in the face of obstacles is Learning.

A simple generic rich picture view of interactions among concerned people with needs services and resources and abilities (including learning), which can be used as a pattern for many individual health care insights.
A simple generic rich picture view of interactions among concerned people with needs services and resources and abilities (including learning), which can be used as a pattern for many individual health care insights.
 Clone of IM-752 This model is derived from the paper "Nobody Ever Gets Credit for Fixing Problems that Never Happened: Creating and Sustaining Process Improvement" by Nelson P. Repenning and John D Sterman with Intent Act Effect and Mental models added to show double loop learning IM-619 with IM-89

Clone of IM-752 This model is derived from the paper "Nobody Ever Gets Credit for Fixing Problems that Never Happened: Creating and Sustaining Process Improvement" by Nelson P. Repenning and John D Sterman with Intent Act Effect and Mental models added to show double loop learning IM-619 with IM-897 and IM-1897 ideas. http://bit.ly/jCXGKL

Flowchart to address learner needs for a positive teaching and learning environment.
Flowchart to address learner needs for a positive teaching and learning environment.
A simple generic rich picture view of interactions among concerned people with needs services and resources and abilities (including learning), which can be used as a pattern for many individual health care insights.
A simple generic rich picture view of interactions among concerned people with needs services and resources and abilities (including learning), which can be used as a pattern for many individual health care insights.
 A 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. Addition of learning curve effec

A 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. Addition of learning curve effects IM-614 to Insight 435

 Clone of  IM-752  map for working simulation model This model is derived from the  paper  "Nobody Ever Gets Credit for Fixing Problems that Never Happened: Creating and Sustaining Process Improvement" by Nelson P. Repenning and John D Sterman. An expanded map is at  IM-1918

Clone of IM-752 map for working simulation model This model is derived from the paper "Nobody Ever Gets Credit for Fixing Problems that Never Happened: Creating and Sustaining Process Improvement" by Nelson P. Repenning and John D Sterman. An expanded map is at IM-1918

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   
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