Faced with a performance gap the two most obvious responses are to work harder or work smarter. There are trade offs associated with each, some obvious, some not so obvious.
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.
Replaced by IM-752 Causal Loop Rich Picture unfolding from Repenning, N. and J. Sterman (2002). Capability Traps and Self-Confirming Attribution Errors in the Dynamics of Process Improvement. Administrative Science Quarterly, 47: 265 - 295. http://jsterman.scripts.mit.edu/docs/Repenning-2002-CapabilityTraps.pdf
From Jennifer Prah Ruger (2010) Health Capability Conceptualization and Operationalization Am J Public Health 100 p41-49 available from SSRN Extended slightly in IM-791 so use of this is deprecated.
Ghosts (with lighter colors than the original) are used to show which capability has been preserved in transformation (Software developers & Software development methodologies/processes)
From NAP Toward Quality Measures for Population Health and the Leading Health Indicators Report with detailed Maternal Infant and Child Health Example Fig.3-5. Compare with WHO NCD Framework picture and IHI Whole system measures 2.0 (Added Nov 2016) See CLD conversion insight
A starter on human service delivery derived from IM-621 to introduce the more complex IM-731 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.
Incorporating organizational factors into Probabilistic Risk Assessment(PRA) of complex socio-technical systems: A hybrid technique formalization Zahra Mohaghegh, Reza Kazemi, Ali Mosleh Reliability Engineering and System Safety (2009) 94 5 p1000–1018 http://www.sciencedirect.com/science/article/pii/S095183200800269X. THis overview has a more detailed area in Insight 1077
Replaced by Map at IM-1918 WIP 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 Replaced by PCT view at IM-9273
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.
Incorporating organizational factors into Probabilistic Risk Assessment(PRA) of complex socio-technical systems: A hybrid technique formalization Zahra Mohaghegh, Reza Kazemi, Ali Mosleh Reliability Engineering and System Safety (2009) 94 5 p1000–1018 http://www.sciencedirect.com/science/article/pii/S095183200800269X. More detailed part of Insight 1074
Replaced by Map at IM-1918 WIP 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 Replaced by PCT view at IM-9273
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
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.
