D R I V E

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D R I V E 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 Blandford UCL 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 studies 2. Eliciting conceptual models 3. 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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Designing better prescription charts: Why we can’t just ask the nurses. Jonathan Back, Ioanna Iacovides, Dominic Furniss, Chris Vincent, Anna Cox & Ann Blandford. UCL Interaction Centre, University College London, UK. Prescription charts. Understanding context. Previous studies. - PowerPoint PPT Presentation

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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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