DRIVE
consider how practices relate to the interaction between user, device and supporting artifacts.
Previous studies Understanding context
Designing better prescription charts: Why we can’t just ask the nurses
Jonathan Back, Ioanna Iacovides, Dominic Furniss, Chris Vincent, Anna Cox & Ann BlandfordUCL Interaction Centre, University College London, UK.
Fit for purpose?
Prescription charts
Future work
In the UK there are over 50 variations of prescription chart. Many of these do not seem to have been designed with programming tasks in mind.
Safer programming
Previous experimental work has demonstrated that chart design impacts on the likelihood of programming errors.
In our experiments, people were not familiar with values they entered and had little expertise in this area. In practice these assumptions are likely to vary depending on the context.
We cannot just ask nurses what they do since individuals are poor at reflecting on and articulating low-level, often automated, processes. We need a combination of approaches:
1. Observational studies2. Eliciting conceptual models3. Investigating ad-hoc artifacts.
This enable a consideration of how practices relate to the interaction between user, device and supporting artifacts.
What evidence do we need to design a more appropriate chart that supports the safe programming of infusion devices?
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