Applying more pressure on staff can temporarily increase productivity, but burnout soon sets in. From William E. Novak and  Linda Levine CMU SEI Sept 2010 Success in Acquisition: Using Archetypes to Beat the Odds paper and see webpage

See similar CLD IM-641 and Simulation IM-333

WIP for Continuity of care ISO From Wikipedia Initial Insight Representation from ContSys

OASIS  SOA Reference Architecture represents views from the perspectives of using, building, owning and managing the means for exchanging value, particpants claims of ownership and the rules of engagement. From http://bit.ly/wpI1yo

WIP for Continuity of care ISO From Wikipedia Initial Insight Representation from ContSys

From JAMIA 2011 (10) 738- 748. Relevant to DLL 616 and PKC 1004

WIP for Continuity of care ISO From Wikipedia Initial Insight Representation from ContSys

Access model for the front page of  A Systems Approach to eHealth

What happens when a program chooses to ignore Brooks' Law? This archetype explains the dynamics behind Brooks' Law and why it applies to most programs. From William E. Novak and  Linda Levine CMU SEI Sept 2010 Success in Acquisition: Using Archetypes to Beat the Odds paper and see webpage

When problems are detected in programs, it's time for everyone to listen and work toward a solution. Shooting the messenger only delays the process, and hurts program morale. From William E. Novak and  Linda Levine CMU SEI Sept 2010 Success in Acquisition: Using Archetypes to Beat the Odds paper and see webpage

When time and budget are tight, it's tempting to follow the "happy path" in testing. But be careful: it may be a path that brings your program great unhappiness. From William E. Novak and  Linda Levine CMU SEI Sept 2010 Success in Acquisition: Using Archetypes to Beat the Odds paper and see webpage

Complex Systems Science and Engineering Methods applied to Health Care Delivery from NAP Reports on Building a Better Delivery System: A New Engineering/Health Care Partnership and Engineering a Learning Health Care System 

See also IM Complex Decision Technologies

Fig 3.1 Sociotechnical system underlying health IT-related adverse events NAP IOM Report

From Adomavicius G et al (2007) Information Technology and Management 8 (2) p185-202

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

Interacting nested fast and slow adaptive cycles from Panarchy Book  ,Resilience thinking Book Brian Walker and David Salt Island Press 2006 and the http://www.resalliance.org/ Website, See also What is Panarchy at http://bit.ly/H9RFkL

eHealth Project Development Roadmap from Center for eHealth Research and Disease Management http://www.ehealthresearchcenter.org/wiki/index.php/Main_Page

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

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

See IM-435 for a simulation

OASIS Technical Reference Model for SOA Ontology. SOA is an architectural style that supports service-orientation. The ontology contains classes and properties corresponding to the core concepts of SOA. For ontology engineering see Wikipedia entry