AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium
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The aim of the present project was the development of a system supporting on-line Guideline-based training in Emergency Medicine. The developed Windows application is built on Visual C++ 6.0, in Greek language, and is based on widely accepted Emergency Medical Guidelines, employed to define the minimum standard of care provided to patients by the First Responders.
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AMIA Annu Symp Proc · Jan 2005
Randomized Controlled TrialIndividualized electronic decision support and reminders can improve diabetes care in the community.
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AMIA Annu Symp Proc · Jan 2005
Web-based residency training program reviews influence applicants who use them.
Scutwork.com is an online, peer-based residency review system. We report preliminary results of an online survey designed to investigate the impact of Scutwork on the residency application process. Overall, 68% of respondents believe that the reviews influenced their decision-making and 91% would use Scutwork again. These results and others reported below suggest that Scutwork may play a significant role in the residency selection process.
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Bayesian Communication provides an explicit and quantitative way to combine a reader's preconceived notions with data from a study to help in making decisions, and thus implements the decision-analytic paradigm in the setting of interpreting and adapting research results. Article Assistant employs a three-tier architecture. The interface elicits users' prior belief and values; the article library provides data from the study, the system calculates the posterior belief distribution and sensitivity analysis on the fly, and provides an interpretation of the numerical results.
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To improve health and reduce costs, we need to encourage patients to make better health care decisions. Since email is widely available, it may be useful for patient-directed interventions. However, we know little about how the contents of an email message can influence a health-related decision. We propose a model to understand how patients may process persuasive email messages.