This article reviews the peer-reviewed literature addressing the healthcare information available on YouTube. Inclusion and exclusion criteria were determined, and the online databases PubMed and Web of Knowledge were searched using the search phrases: (1) YouTube* AND Health* and (2) YouTube* AND Healthcare*. In all, 18 articles were reviewed, with the results suggesting that (1) YouTube is increasingly being used as a platform for disseminating health information; (2) content and frame analysis were the primary techniques employed by researchers to analyze the characteristics of this information; (3) YouTube contains misleading information, primarily anecdotal, that contradicts the reference standards and the probability of a lay user finding such content is relatively high; (4) the retrieval of relevant videos is dependent on the search term used; and (5) videos from government organizations and professional associations contained trustworthy and high-quality information. YouTube is used as a medium for promoting unscientific therapies and drugs that are yet to be approved by the appropriate agencies and has the potential to change the beliefs of patients concerning controversial topics such as vaccinations. This review recognizes the need to design interventions to enable consumers to critically assimilate the information posted on YouTube with more authoritative information sources to make effective healthcare decisions.

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Aircraft inspection is a vital element in assuring safety and reliability of the air transportation system. The human inspector performing visual inspection of an aircraft is the backbone of this process and training is an effective strategy for improving their inspection performance. Previous studies have shown offline feedback training to be effective in improving subsequent visual inspection performance. Because experienced inspectors are known to adopt a better inspection strategy than novices, providing visualization of experts' cognitive processes a priori can accelerate novices' adoption of the experts' strategy. Using eye tracking equipment, we record the point of regard of an expert inspector performing an inspection task in a virtual reality simulator. Analysis of their eye movements leads to a visualization of their scanpaths and allows us to display the inspector's visual search (hence cognitive) strategy. We show how providing this type of scanpath-based feedforward training of novices leads to improved accuracy performance in the simulator coupled with an observed speed-accuracy tradeoff. We contend that the tradeoff results from trained novices adopting a slower paced strategy through increased fixation durations, suggesting trained novices learn a more deliberate target search/discrimination strategy that requires more time to execute. ACM Classification:H5.1; H1.2. Information interfaces and presentation (e.g., HCI): Multimedia information systems; Models and principles: User/machine systems (human factors).

By using the detailed architectural diagrams, the authors were able to clearly demonstrate for the first time the unique role that OR design and equipment layout has on the generation of physical layout flow disruptions. Most importantly, the authors have developed a robust taxonomy to describe the flow disruptions encountered in a cardiac OR, which can be used for future research and patient safety improvements.

Purpose Ethical and legal requirements for healthcare providers in the United States, stipulate that patients sign a consent form prior to undergoing medical treatment or participating in a research study. Currently, the majority of the hospitals obtain these consents using paper-based forms, which makes patient preference data cumbersome to store, search and retrieve. To address these issues, Health Sciences of South Carolina (HSSC), a collaborative of academic medical institutions and research universities in South Carolina, is developing an electronic consenting system, the Research Permissions Management System (RPMS). This article reports the findings of a study conducted to investigate the efficacy of the two proposed interfaces for this system – an iPad-based and touchscreen-based by comparing them to the paper-based and Topaz-based systems currently in use. Methods This study involved 50 participants: 10 hospital admission staff and 40 patients. The four systems were compared with respect to the time taken to complete the consenting process, the number of errors made by the patients, the workload experienced by the hospital staff and the subjective ratings of both patients and staff on post-test questionnaires. Results The results from the empirical study indicated no significant differences in the time taken to complete the tasks. More importantly, the participants found the new systems more usable than the conventional methods with the registration staff experiencing the least workload in the iPad and touchscreen-based conditions and the patients experiencing more privacy and control during the consenting process with the proposed electronic systems. In addition, they indicated better comprehension and awareness of what they were signing using the new interfaces. Discussion The results indicate the two methods proposed for capturing patient consents are at least as effective as the conventional methods, and superior in several important respects. While more research is needed, these findings suggest the viability of cautious adoption of electronic consenting systems, especially because these new systems appear to address the challenge of identifying the participants required for the complex research being conducted as the result of advances in the biomedical sciences.