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Boulding’s levels should not be mistaken for an attempt to provide a definitive
taxonomy of GST or of life. It does however provide, and is best used as, a simple
framework for discussing system models of increasing complexity. GST also provides
a starting point for the rich world of systems thinking and systems approaches that can
help health informatics practitioner understanding and improve the use of health
informatics in modern organizations. Such approaches include systems engineering,
Peter Checkland’s Soft Systems Method [1], complexity science, systems dynamics,
simulation and Peter Senge’s Learning Organizations [7].
2. Using GST in Health Informatics
2.1. How health informatics professionals can use GST
Health informatics professionals can:
1) Use GST in its narrowest sense to identify, model and define a system of interest
following the definition of GST in Section 1.2. A careful choice of boundary is essential
as the components and relationships within the system should be directly responsible for
the system appearing as a coherent whole. GST forces deep reflection on what the system
actually is, how it survives over time, its structure and environment. A good
understanding of how and why a surgical team works well should be an essential pre-
requisite to an implementation project introducing a new informatics solution that is
expected to help their performance. Conversely, of course, it can help understand why
health informatics projects often fail. We would encourage the former.
2) Use the language of GST for interdisciplinary communication. We have italicized
most of the key GST terms in this chapter and the informatics practitioner who is familiar
with and can use these terms in discussion with healthcare professionals (and even
managers) should find that they are speaking a common language if only because most
will have learnt them in biology classes.
3) Develop their understanding of GST into a broader systems approach to problem
solving. There are many good books, courses and online material that are linked to and
build on GST and systems approaches. Once you have started thinking in systems, it is
difficult to stop and there are many practitioners who consider systems thinking has
transformed their professional approach.
The following examples of the applications of GST within health informatics will,
we hope, illustrate the scope and potential.
2.2. Applications of GST in Healthcare Computing
Our modern computer systems were first developed within the climate of the post-war
systems movement and computer science has contributed to, and benefited from, GST.
In common with other systems, computer systems have components (software and
hardware) and relationships (interfaces, dependencies and networks) and we can describe
these in terms of inputs, processes, outputs, feedback and control. Component based and
layered architectures are designed to manage complexity while delivering functionality
and performance at scale. Most people know from experience that some computer
systems are better than others and that some can crash or slow down unexpectedly.
Computer system performance (and usability, security and other non-functional
O.Johnson /GeneralSystemTheoryand theUseofProcessMining to
ImproveCarePathways16
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book Applied Interdisciplinary Theory in Health Informatics - Knowledge Base for Practitioners"
Applied Interdisciplinary Theory in Health Informatics
Knowledge Base for Practitioners
- Title
- Applied Interdisciplinary Theory in Health Informatics
- Subtitle
- Knowledge Base for Practitioners
- Authors
- Philip Scott
- Nicolette de Keizer
- Andrew Georgiou
- Publisher
- IOS Press BV
- Location
- Amsterdam
- Date
- 2019
- Language
- English
- License
- CC BY-NC 4.0
- ISBN
- 978-1-61499-991-1
- Size
- 16.0 x 24.0 cm
- Pages
- 242
- Category
- Informatik