Why coded data matters for observations
Jump relies heavily on SNOMED codes and coded data throughout the system. Observation recording is one of the areas where this brings a clear benefit, because it allows most kinds of structured data to be captured consistently rather than as free text.
How observation recording works
Within Jump, you can record observations for structured data types such as a patient's body height. When recording a new observation, you can see the patient's past entries alongside it and graph their recent records, giving an immediate view of how that measurement has been tracked previously.
Once the observation is saved, it becomes part of the patient's ongoing record, ready to be reviewed or added to again at a future appointment.
Seeing how observations change over time
Because each observation is stored as structured data, Jump can show how a given metric has changed over time. In the example of a patient's height, the graph shows the value has remained static at around 180cm, other than one anomaly. This kind of view makes it straightforward to spot patterns or unexpected changes in a patient's recorded measurements.
This approach to observations is one of the ways Jump is looking to improve on existing private sector clinical record systems, by making structured data recording and review a standard part of how observations are handled.