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Chapter 24, Textbook, Sewell, J. (2016). Informatics and Nursing. Fifth Edition. Philadelphia: Wolters Kluwer.

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As a nurse, how can you overcome the challenges of finding and using research in clinical practice?

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Search for current nursing informatics research in databases at your local hospital, college, or university.  Find at least 2 research reports in your area of interest.  Discuss how the research could be used in your work setting.

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EPIC UGM SKIT to Journey's Don't stop believin' #UGM

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Great Epic tribute to EMR and Healthcare IT to the song "Don't Stop Believing" with a great Wayne's World ending. Great way to start the Epic User Group Meeting #UGM #EpicUGM

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8 levels of analytics adoption in modern health care. What does health data management mean to you? How are modern care providers utilizing data to better serve their patients? What sort of data management would you like to see from your providers? Sources: http://www.healthcatalyst.com/healthcare-analytics-adoption-model/ http://www.ahrq.gov/research/data/index.html

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Video: Healthcare Analytics for Everyone

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Video: Healthcare Analytics for Everyone

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Next Generation of Health Care Analytics

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Healthcare Analytics for Population Health

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Future of Predictive Analytics in Healthcare

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Healthcare analytics and data can benefit hospitals and healthcare systems of all sizes and budgets.

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Health Analytics. What it is and why it matters

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Health Analytics. What it is and why it matters

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Video: Graham Hughes, MD, Chief Medical Officer at SAS, explains how advanced health analytics drives better outcomes at lower costs.

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Health analytics for life sciences

Diminished pipelines. Escalating development costs. A changing health care market. After years of therapeutic and commercial successes, life sciences companies are grappling with these new realities and searching for ways to survive and thrive in an evolving health care economy.

Advanced analytics can deliver the crucial insights necessary to propel a business toward growth and success by:

Getting new medications to patients faster.

Providing regulatory bodies with evidence of drug safety and efficacy.

Better understanding disease states.

Improving manufacturing processes and sales and marketing efforts.

Identifying and developing the next generation of health care treatments.

Identifying optimal strategies to commercialize treatments.

By providing the most advanced portfolio of analytical software and services in the world, SAS has become the trusted leader in health analytics. That's why, for more than three decades, leading life sciences companies have relied on SAS Analytics for drug discovery, clinical trials, sales and marketing, and manufacturing.

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Health analytics for life sciences Diminished pipelines. Escalating development costs. A changing health care market. After years of therapeutic and commercial successes, life sciences companies are grappling with these new realities and searching for ways to survive and thrive in an evolving health care economy.