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Health Works Collective > Technology > Medical Innovations > Move Over, Dr. Google: The Future of Digital Health Content Is Personalized, Automated and Predictive
eHealthMedical InnovationsMobile HealthSocial MediaTechnology

Move Over, Dr. Google: The Future of Digital Health Content Is Personalized, Automated and Predictive

Fard Johnmar
Last updated: August 1, 2013 8:00 am
Fard Johnmar
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A few weeks ago I published a brief essay on HealthWorks Collective about the just-in-time health information trend.  I talked about how a day is coming where people won’t have to use search engines like Google to search for health information.  Instead, highly personalized, customized and relevant health content will come to them automatically. 

A few weeks ago I published a brief essay on HealthWorks Collective about the just-in-time health information trend.  I talked about how a day is coming where people won’t have to use search engines like Google to search for health information.  Instead, highly personalized, customized and relevant health content will come to them automatically. 

Interestingly, this topic is even more timely due to an article published recently in the New York Times about a new breed of mobile applications (such as Google Now) that can anticipate users’ needs and eliminate the need for search.

To further explain the just-in-time health information revolution we recently published a slide presentation on this topic.  It features commentary from a couple of firms building the just-in-time future, including Scanadu, which just smashed its crowdfunding goal and looks poised to help bring quantified self into the mainstream.  Scanadu is working to leverage a range of biometric data to deliver personalized content to users of its devices in real-time.

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To learn why the future of digital health content is personalized, customized and automated, please see the presentation below.

Note: Learn How to Access a Copy of the Full 45-Page Report on
Just-in-Time Health Information Systems by Clicking Here
TAGGED:Just-in-Time Health Information Systems
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