Hi everyone,
The naming of the classes sometimes causes some confusion. The classic cycle diagram commonly used in training (http://www.openehr.org/wiki/download/attachments/23167000/archetype%20classes.gif), represents the classes rather simplisticly as reflecting clinical processes. And they do, to a considerable degree, but it is never quite so simple J
When deciding on an archetype class it is fundamental to decide the kind of attributes required. Usually Instruction and Action are easy to determine.
Similarly most use of OBSERVATION occurs when you want to record data that is seen, touched or measured using the same method/protocol and additionally requires any or all of: recording anytime/now, at a specific point in time or during an interval of time; mathematical/aggregate value attributes such as maximal, minimal (usually over an identified interval of time) etc; or a known state of the patient in order to interpret the data. I usually describe OBSERVATIONS as ‘the evidence’ and so some archetypes such as story don’t obviously have timing requirements (although it could potentially be useful) are modelled in this way.
And lastly, EVALUATION: quoted from http://www.openehr.org/wiki/pages/viewpage.action?pageId=786529 – “The evaluation class is the simplest of the care oriented Entry classes. It is therefore the most able to handle diverse data. The other classes are designed to meet specific requirements. The result is that the Evaluation class is best suited for information deriving from other observations where the information is of a more long-standing nature than minute to minute observations. This class also lends itself to summary or review information. Dates and times have to be explicitly represented in this class (as part of the archetype).”
So EVALUATIONS are NOT limited to opinions or assessments, although that is a common misunderstanding.
I estimate that I have probably spent more cumulative hours trying to derive the right balance in the patterns for the alcohol & tobacco consumption archetypes than I have for any other family of models. I have tried to tease out the patterns (that are very similar), resulting in an OBSERVATION and an EVALUATION for each. I’m still not convinced it is absolutely correct yet, but while I have had a reasonable amount of pushback on the separation of models into two types, I have a very strong belief that combining them into one model will not work either – it just ain’t that simple!
– The first in which we record now or at a specific point in time or averages usage over an identified period of time, and which is best represented in an OBSERVATION so that repeated and comparable records can be made over time – effectively a concrete smoking diary of actual smoking activity, whether now, on a certain day, or an actual average over the past 10 years.
– Secondly the data that fits more with an EVALUATION – for example, data that we will only ever need to record once and should be persisted, such as ‘Date commenced tobacco use’, or that we want recorded in one place only and choose to update over time with versioning of COMPOSITIONS, such as cumulative consumption in pack years etc.
The reality is that while some of this data can be differentiated easily into one or either model, some is not so clear. For example, recording smoking status is not as simple as recording ‘currently smoking’ Yes or No in an OBSERVATION today as our clinical world, and especially the secondary reporting world, commonly uses a value set of ‘Current smoker’, ‘past or ex-smoker’ and ‘never smoked’ – with differing temporal implications. In addition, some value sets including national data dictionaries also add qualifier values such as ‘past light smoker’ and ‘past heavy smoker’, plus all the rest of examples we’ve all seen. Smoking is modelled so differently in so many places, and usually not very well – I haven’t identified a gold standard on which to base the archetypes on and would appreciate any input anyone can provide. Certainly Current smoker is implied if you enter any amount of smoking in the OBSERVATION, but while ‘never smoked’ or ‘ex-smoker’ can be recorded today, it is particularly useful to persist in records and update only if that changes.
One way to consider recording a Smoking History in an EHR might start with a persistent COMPOSITION that would be re-versioned with each smoking-related update, and comprise:
– a single EVALUATION reflecting the ‘record once only summary data’ or the ‘record in one place only’ such as cumulative consumption and which is updated as necessary, plus
– one or more instances, or links to the instances, of OBSERVATION data reflecting each ‘smoking diary’ data captured over time.
What do you think?
Cheers
Heather