Expedited timeline of alert dissemination Sample Clauses

Expedited timeline of alert dissemination. The timeline of the alert dissemination by the automatic EMR alerting service (with high specificity) will be much shorter than routine alert dissemination approaches, e.g. email, telephone conference, or mail. Considering all major stakeholders‟ interest areas, the evaluation will mainly focus on seven objectives: actionable alerts; consumption of alert; integration with decision support system; clinician action performed; sensitivity, specificity, and PPV of matching algorithm; and local customization. Evaluation elements These seven objectives were mapped with five evaluation elements, including system quality, quality of alerts, clinician use of the alerts, user perception, and impact, which were identified based on the logic model framework (Figure1). Logically, these domains are in a certain order (Figure2). If the system has high quality and provides relevant alerts and guidelines, then healthcare providers will be more likely to use the EMR alerting services and feel satisfied with them. Timely disseminating relevant public health alerts to healthcare providers to assist their clinical decision making will bring positive impacts to both public health agencies and health care authorities. When reporting the evaluation results, we can assess the causal relationship between technologies functions, alert usage, and public health and health care outcomes. It is important to show that this system performs well – providing relevant alerts and being accepted by healthcare providers. However, it is more critical to check whether this system could bring positive impacts on both public health information dissemination and health care quality. That‟s because we not only want to implement a high quality system, but also hope to realize “meaningful use” of our system. For each evaluation domain, I will provide many detailed information to guide the evaluation implementation, including what to measure (content), how to measure (design, methods, and indicators), how to collect data (data resource), and how to analyze the findings.
Sample 1
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