International journal of medical informatics
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Web sites with health-oriented content are potentially harmful if inaccurate or inappropriate medical information is used to make health-related decisions. Checklists, rating systems and guidelines have been developed to help people determine what is credible, but recent Internet technologies emphasize applications that are collaborative in nature, including tags and tag clouds, where site users 'tag' or label online content, each using their own labelling system. Concepts such as the date, reference, author, testimonial and quotations are considered predictors of credible content. An understanding of these descriptive tools, how they relate to the depiction of credibility and how this relates to overall efforts to label data in relation to the semantic web has yet to emerge. ⋯ Many participants in this study focused on assessing whether the information was relevant to their current circumstances, after which they would proceed to determine its credibility by corroborating with other sources. The use of structured tags to label information may not be a useful way to encourage the use of tagging, or to indicate credibility in this context. Current applications used in the semantic web automate this process. Therefore it may be useful to engage consumers of online content, in particular health-related content, to be more directly involved in the annotation of this content.
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Although the use of computerized decision support systems (CDSS) in glucose control in the ICU has been reported, little is known about the effect of the systems' operating modes on the quality of glucose control. The objective of this study was to evaluate the effect of providing patient-specific and patient non-specific computerized advice on timing of blood glucose level (BGL) measurements. Our hypothesis was that both levels of support would be effective for improving the quality of glucose regulation and safety, with patient specific advice being the most effective strategy. ⋯ Adherence to protocol sampling rules increased by using decision support with a larger effect at the patient specific level. This led to a decrease in the percentage of hypoglycemia events and improved safety. The use of the CDSS at both levels, however, did not improve the quality of glucose control as measured by our indicators. More research is needed to investigate whether other socio-technical factors are in play.