M-HEALTH By PHARMAGEEK
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M-HEALTH  By PHARMAGEEK
M HEALTH...and Mobile marketing - Mobile, Ipad and Apps.. #mhealth #ehealth #healthapps
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Rescooped by Lionel Reichardt / le Pharmageek from mHealth: Patient Centered Care-Clinical Tools-Targeting Chronic Diseases
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10 Big Technology Trends in Healthcare

10 Big Technology Trends in Healthcare | M-HEALTH  By PHARMAGEEK | Scoop.it
We are living in exciting times. Technology is transforming every aspect of the way we live. Perhaps no area is more important or more profound than the innovations we are seeing in healthcare. As the industry looks to leverage technology to increase access to information, drive better patient outcomes and unlock mysteries hidden in plain sight, it is facing the enormous challenges of privacy and security that are perhaps more worrisome in healthcare than in any other industry.With that in mind, we assembled some of the brightest minds in healthcare to share their views on the technology tren

Via ET Russell
ET Russell's curator insight, February 14, 2015 4:19 PM

Summary:

1) Smartphones, apps, and wearables are empowering patients, doctors, and caregivers.

2) Big Data will uncover patterns, problems, and opportunities in healthcare.

3) Cloud computing will unlock the valuable insights that live in healthcare data.

4) Security risks must be taken seriously.

5) Computing power and energy efficiency will be star players behind the scenes of healthcare.

6) 3D Printing will spur a new wave of growth and innovation in healthcare.

7) Telemedicine will expand healthcare into our homes and beyond.

8) Global health will improve with the expansion of technology to developing countries.

9) Technology will help us understand the brain.

10) Innovation will unlock business opportunities.

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Can Mobile Technologies and Big Data Improve Health?

Can Mobile Technologies and Big Data Improve Health? | M-HEALTH  By PHARMAGEEK | Scoop.it

After decades as a technological laggard, medicine has entered its data age. Mobile technologies, sensors, genome sequencing, and advances in analytic software now make it possible to capture vast amounts of information about our individual makeup and the environment around us. The sum of this information could transform medicine, turning a field aimed at treating the average patient into one that’s customized to each person while shifting more control and responsibility from doctors to patients.


The question is: can big data make health care better?


“There is a lot of data being gathered. That’s not enough,” says Ed Martin, interim director of the Information Services Unit at the University of California San Francisco School of Medicine. “It’s really about coming up with applications that make data actionable.”


The business opportunity in making sense of that data—potentially $300 billion to $450 billion a year, according to consultants McKinsey & Company—is driving well-established companies like Apple, Qualcomm, and IBM to invest in technologies from data-capturing smartphone apps to billion-dollar analytical systems. It’s feeding the rising enthusiasm for startups as well.


Venture capital firms like Greylock Partners and Kleiner Perkins Caufield & Byers, as well as the corporate venture funds of Google, Samsung, Merck, and others, have invested more than $3 billion in health-care information technology since the beginning of 2013—a rapid acceleration from previous years, according to data from Mercom Capital Group. 


Via nrip
Paul's curator insight, July 24, 2014 12:06 PM

Yes - but bad data/analysis can harm it

Pedro Yiakoumi's curator insight, July 24, 2014 1:48 PM

http://theinnovationenterprise.com/summits/big-data-boston-2014

Vigisys's curator insight, July 27, 2014 4:34 AM

La collecte de données de santé tout azimut, même à l'échelle de big data, et l'analyse de grands sets de données est certainement utile pour formuler des hypothèses de départ qui guideront la recherche. Ou permettront d'optimiser certains processus pour une meilleure efficacité. Mais entre deux, une recherche raisonnée et humaine reste indispensable pour réaliser les "vraies" découvertes. De nombreuses études du passé (bien avant le big data) l'ont démontré...