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Tag: DataAnalytics (Messages)

Messages 5

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Wed, May, 3rd 2017
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Brady Wolff *MillenniumUsers Community
BC:
“.@williamdpaiva @OSUCHS For more from @williamdpaiva, listen to his recent @kwgsnews interview on rural health innovation in #DataAnalytics: Read more... http://publicradiotulsa.org/post/st-medical-monday-chat-william-paiva-osus-center-health-systems-innovation” Show less...
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Brady Wolff *MillenniumUsers Community
BC:
#DataAnalytics, remote care and #interconnectivity: how mobile devices and #telehealth can transform medical care:
Why data analytics, remote care and interconnectivity are prepared to transform medical care | FierceHealthcare
fiercehealthcare.com As the healthcare industry turns to video conferencing, patient-generated data and modern communication tools, medical visits of the future will look vastly different than the current approach to care. Using smartphone applications and telehealth technology, medical care “will increasingly take place everywhere but the office,” two healthcare futurists wrote in Fortune.
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Fri, April, 28th 2017
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Brady Wolff *MillenniumUsers Community
BC:
Identifying specific health concerns, including #opioid abuse, helps scientists better implement #DataAnalytics:
HHS advisor: Real-world challenges plant the seeds for effective data analytics | FierceHealthcare
fiercehealthcare.com Data analytics and health IT can solve a lot of problems in healthcare. At the federal level, perhaps the most critical step is defining exactly what those problems are before deciding what technology can do to help.
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Thu, April, 27th 2017
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Brady Wolff *MillenniumUsers Community
BC:
“Brian Richmeier examines how #DataAnalytics improves operational efficiencies and provides timely, life-saving care. https://blogs.cerner.com/blog/how-data-analytics-can-impact-small-community-health-care-systems/”
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Brady Wolff *MillenniumUsers Community
BC:
Internet of Things, GPUs and the need for speed—6 trends shaping the future of #DataAnalytics:
6 trends shaping the future of data analytics
healthdatamanagement.com Machine learning, deep learning and natural language processing are among the technologies that will help drive organizational success.
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