AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium
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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.
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AMIA Annu Symp Proc · Jan 2005
Leveraging point-of-care clinician feedback to study barriers to guideline adherence.
Studies of barriers to guideline adherence have generally surveyed clinicians temporally remote from the clinical scenario in which recommendations were delivered, potentially adversely biasing clinician observations. The user interface of ATHENA DSS, a guideline-based decision support system for hypertension, includes a point-of-care feedback window that accepts clinician-user comments during the display of recommendations. Analysis of this feedback has revealed a number of intriguing patient, provider, and technical barriers to adherence collected during real-time system use.
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Health messages are crucial to the field of public health in effecting behavior change, but little research is available to assist writers in composing the overall structure of a message. In order to develop software to assist non-expert message writers in constructing effective messages, the structure of existing health messages must be understood, and an appropriate method for analyzing health message structure developed. ⋯ A novel framework for characterizing health message structure and a method for analyzing messages appears to be reproducible.
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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.