Are blockchain and AI the keys to unlocking interoperability in healthcare? | Medical Economics

Are blockchain and AI the keys to unlocking interoperability in healthcare? | Medical Economics

Doctors from every specialty are feeling more burned out than ever. Among emergency physicians, for instance, over 60% admit to feeling burned out, and many have considered leaving medicine altogether. With a shortage of physicians, there are fewer providers every year to meet growing patient demands.  Yet, it isn’t just the thinning of their ranks that is wearing physicians down; it’s also the fact that they spend two-thirds of their time doing paperwork rather than actually caring for patients. For every hour they spend with a patient, physicians have to spend two more completing paperwork and working on electronic health records, reviewing test results, logging information, writing medication orders and other tasks.
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Data, data everywhere, not a drop of insight to glean?

Data, data everywhere, not a drop of insight to glean?

Photo: nevarpp, Getty Images

One of the recurring themes at the recently-concluded Precision Medicine Leaders Summit in San Diego was how to digest the plethora of information available in healthcare.  Whether it’s coming from next-generation sequencing, electronic health records or consumer devices, how do clinicians and patients make the data useful?  “In chronic disease, if we don’t solve the problem of how to adapt these tools to clinical practice and patient care, we’re not going to make much progress,” said Michael Hodgkins, chief medical information officer at the American Medical Association, to the audience. “You can’t manage patients who have chronic diseases in the four walls of the clinic. You have to meet them where they live.”

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Artificial intelligence: Big data and invisible patients

Artificial intelligence: Big data and invisible patients

If the barrier to precision medicine is data handling, then artificial intelligence (AI) may be the logical solution. Machine learning and deep learning are making inroads in a variety of industries, and seem poised to have a big impact in medicine, a process that is already in motion – and perhaps not a moment too soon.“Your chance in your lifetime of getting a false diagnosis, if you look at the data, is 100 percent,” said Thomas Wilckens, founder and CEO at InnVentis to the audience at the recently-concluded Precision Medicine Leadership Summit in San Diego. “There’s a lot to improve.”

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How The Ethereum Blockchain Can Stop “Skynet”

How The Ethereum Blockchain Can Stop “Skynet”

Photo: EthNews | Artificial Intelligence

ETHNews spoke with NTT Data Services, one of Japan’s largest IT firms, for its perspective on the development of AI deployed on the Ethereum blockchain and to find out if Skynet will be taking over anytime soon.  The prospect of artificial intelligence (AI) is both exciting and harrowing. Many industries, such as healthcare, manufacturing, law, and insurance, can benefit by leveraging AI to guide business logic. Still, there are questions as to how to reach the point where the technology can scale to meet demand while avoiding the outcome of a dystopian future where robot overlords rule the streets and humanity struggles to survive.

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