An information model is used in software engineering as a high
level representation of concepts, relationships, constraints, rules and
operations to specify data semantics for a chosen domain of discourse. It isn’t
actually a something but it provides a framework for organising data content,
actions and processes that can be used to proof or test the theory of what is
being asked for in real-world scenarios. The Information model will sit over
data models.
In healthcare it is crucial that the model is informed by
those who are delivering the care processes, the clinical context for this is
of upmost importance, and without informed clinical input the outputs will
likely not be useful understandable or productive.
Many of the advantages that begin to become possible from
working in a digital environment require a fresh approach to thinking about how
our models and processes for delivering care relate to how our clinical
information is managed, processed, retrieved, stored and analysed. The
information model is a key link between the real-world of clinical encounters
and the ability of technology to provide significant additional benefit is the
ability to conceptually link these domains. Having a well understood and tested
information model brings the world of the computer chip to that of care
delivery so that the productivity expected in theory is delivered in a way that
avoids unintended consequences that arise from the misconceptions and
misunderstandings between the two distinct operational realities.
The information model allows for multiple concepts,
relationships, constraints, and rules to be communicated and expressed in a way
that is amenable to computer processing, it is through this lens that the
ability for using a sophisticated clinical terminology and coding system links
to daily care activity. Here also the necessity to have logical and
standardised document structures and data definitions reduces ambiguity and
prevents the computer from making “mistakes”. The requirement for clarity, high
quality data, standardisation of process, and logic all start to make sense in
the world of technology, here also the expectations of what can be achieved and
what is delivered can be challenged and an intuitive design of meaningful workflow
can be generated.
The information model as a concept is a crucial linchpin in
being able to specify, operationally deploy and maintain technology based
systems that will deliver clinical expectations. It is also a foundational
element in obtaining high quality data from normal standardised workflow that
is minimally invasive to care processes, but is fundamental to knowledge
supports and information analysis in reporting outcomes, ultimately improving
safety and performance to agreed care outcomes.
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