Clusters of interacting methods for improving health services network design and delivery. Includes Forrester quotes on statistical vs SD methods and the Modeller's dilemma. Simplified version of IM-14982 combined with IM-17598 and IM-9773
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
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
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
From Greenhalgh et al article 2017 jimr Beyond Adoption: A New Framework for Theorizing and Evaluating Nonadoption, Abandonment, and Challenges to the Scale-Up, Spread, and Sustainability of Health and Care Technologies
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
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
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
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