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February 1st, 2017

The role of Internet resources in clinical oncology: promises and challenges

By Elizabeth Zimmermann Young

In a new article published in Nature Reviews Clinical Oncology, learn how Internet trends among oncology patients and those that care about them are changing. Co-authored by Lila Rutten, Ph.D., Robert D. and Patricia E. Kern Scientific Director for Population Health Science in the Mayo Clinic Robert D. and Patricia E.  Kern Center for the Science of Health Care Delivery and the National Cancer Institute’s Bradford Hesse, Ph.D., and Alexandra Greenberg, Ph.D., the article also discusses future trends, including examples of 'connected health' in oncology; diffusion of devices, sensors, and apps; the spread of personal data sharing; and an evolution in how networks can support person-centered care.

Read the abstract online on PubMed.

Tags: cancer, Dr. Lila Rutten, Findings, Internet usage, Kern Center, oncology, patient education, Science of health care delivery

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vicentemcgrath
@vicentemcgrath

Posts: 1
Joined: Apr 26, 2017
Posted by @vicentemcgrath, Wed, Apr 26 3:55am

I believe one more technology that can be useful for medicine is Artificial Intelligence (https://qubit-labs.com/artificial-intelligence-future-happening-now/). While big data is used to store information about patients and their health issues, AI is able to analyze tons of data accroding to a set algorythm and provide humans with accurate results. It would have taken human months to read such piles of documents. Moreover, if you set AI right it can aslo suggest diagnosis to doctors taking into account symptoms of a patient. This technique was already tested in 2014 https://www.wired.com/2014/06/ai-healthcare/.

Posted by @elizabethzimmermann, Wed, Apr 26 6:41am

@vincentemcgrath, you are correct. Artificial intelligence can help us in so many ways. Here’s what our CIO had to say about it recently: http://medcitynews.com/2017/02/mayo-clinic-cio-ai-stuff-really-real/ And a story that tells you about one of our efforts in developing ‘sniffers’ – complex algorithms (aka artificial intelligence) that can aggregate multiple data sources/points and ‘sniff’ out health issues before a health care provider might be able to put the pieces together. http://advancingthescience.mayo.edu/discussion/sepsis-and-shock-response-team/

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