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Clinical Statement | Entry type | Example archetype | Comments |
simple measurement | Observation | Body mass index | The simplest 'point' measurements are still situated in time: there is always at least one 'event' or time-point. The openEHR model guarantees that the event-time information in single-point measurements is the same as for mult-sample measurements. |
time-series measurement | Observation | Blood pressure measurement | Many phenomena have the potential form of a series of samples in time |
difference over time | Observation | The History part of the model accommodates changes over time. | |
maxima, minima, rolling averages etc | Observation | The 'math function' attribute in the INTERVAL_EVENT class accommodates all kinds of time-based averages and finite duration states. | |
diagnosis | Evaluation | Times of some events may be mentioned, but the structure of the Entry is not the time-history of an observed phenomenon, but a report or summary, often of several phenomena, supporting a conclusion, which is the point of the Entry. | |
adverse reaction | Evaluation | Adverse reaction assessment is an assessment of condition or propensity of the patient to react to particular substances. |
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