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This article presents some early, design-oriented research findings from a study that introduced mobile blogging technologies to four people who wished to make a health-related life change — giving up smoking. We wanted to establish the nature of the relationship between blogging and quitting smoking (if any), inspired by some earlier work in the domain showing that social technologies may help with the quit process. We present an account of three participants, documenting details of how blogging technologies fitted into their (changing) lives and examples of digital content they produced. We describe, using examples from participant blogs, instances of self-expression, replacement and self-awareness. We suggest, despite all participants failing in their quit attempts, that there are possible provisional, therapeutic characteristics to such social technologies. Finally, we suggest this therapeutic process can be understood better through a concept of personal translucence.

26:T446,

The study objective was to describe the prospective use of an interactive Patient Education and Motivation Tool (PEMT) placed within a pediatric emergency department (ED). A touch screen computer was utilized to deliver asthma education to children and their parents/guardians during their acute asthma visit between November 2006 and April 2007. Ninety-nine participants were enrolled in this prospective non-randomized pre—post study. PEMT comprised three key components: screening, learning and evaluation. The tool tracked the date the system was used, user characteristics, asthma knowledge, amount of time spent on each screen, and navigational patterns of individuals using the program. The results showed that baseline asthma knowledge had positive association with age and negative association with time spent in the learning module. There was negative association between age and time spent in the learning module. Thus PEMT was effective in improving the asthma knowledge of young patients and those having lower baseline knowledge.

27:T41a,

The use of clinical data from electronic medical records (EMRs) for clinical research and for evaluation of quality of care requires an extraction process. Many efforts have failed because the extracted data seemed to be unstructured, incomplete and ridden by errors. We have developed and tested a concept of extracting semi-structured EMRs (Journal III®, Profdoc®) data from 776 diabetes patients in a general practice clinic over a 5 year period. We used standard database management techniques commonly applied in clinical research in th