Data Book

Data Book

By Inside Digital Health™ScienceMedicineTechnology
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Data Book episodes

  • S1 Ep11: Should Cops Have Access to Consumer DNA?

    The Golden State Killer took too many lives and broke too many spirits before his reign of terror ended with an all-too-late capture in April, 2018. But even though his crimes were heinous, many question the measures police used to identify alleged murderer and rapist Joseph James DeAngelo. In the eleventh episode of Healthcare Analytics News' Data Book, co-hosts Jack Murtha and Tom Castles are joined by the National Institutes of Health's Dr. Christine Grady, who explores the ethics and implications behind the cold-case capture, and what it could mean for healthcare.

    23 min
  • S1 Ep10: A New Kind of Warfare

    The WannaCry and NotPetya cyberattacks crippled hospitals, shipping companies, and many other industries. North Korea and Russia have since been blamed for launching these assaults. Now, a year later, we examine what this new age of cyberwarfare means for healthcare and the world at large.

    This episode is based on the June cover story of Healthcare Analytics News™. Check us out online.

    20 min
  • S1 Ep9: Is AI Real?

    In 1973, a renowned mathematician published a damning report that almost sunk the growing field of artificial intelligence. The problem was, he held several misconceptions about AI—just like many people today. In this episode, we tell the story of the Lighthill Report and the subsequent AI winter and chat with Kevin Campbell, MD, about AI basics and how it can help healthcare.

    Photo: A robotic arm built for MIT's AI lab in 1972. Courtesy of ArnoldReinhold, Wikimedia Commons.

    Read more Healthcare Analytics News™ stories at www.hcanews.com.

    22 min
  • S1 Ep8: Return of the Luddite

    Major data breaches have turned some people against big data and analytics. To determine whether this moment marks the return of the Luddite, we present the story of the actual Luddites. The acclaimed health-tech thinker John Nosta explains why healthcare—and everyone—must stand up in defense of data.

    Read more Healthcare Analytics News™ stories at www.hcanews.com.

    24 min
  • S1 Ep6: Finding Orangeworm

    Cybersecurity researchers recently revealed a new kind of healthcare hacker. Orangeworm, as the group is called, has been preying on glaring vulnerabilities for years. Can it be stopped?

    To find out, Data Book talks to John DiMaggio, a senior threat intelligence analyst for Symantec and one of the people who unearthed Orangeworm. CynergisTek's John Nye delivers the Insight.

    22 min
  • S1 Ep5: Amazon's Path of Disruption

    The country's great disrupters have a new target: healthcare. Amazon, Google, Apple, and even Uber—they're all trying to improve American medicine. But can tech change such a complex system? To find out, Data Book explores Amazon's history and interviews Kate McCarthy, a senior health-tech analyst for Forrester.

    Image courtesy of Canonicalized.com.

    28 min
  • S1 Ep3: The Gene-Editing Company That Didn't Need CRISPR

    CRISPR, TALEN, and gene editing sound like the stuff of the future, but they are already changing medicine. What about zinc finger nucleases? That's what Sangamo Therapeutics uses to perform gene editing, and the tech recently earned the company a $3 billion deal. Today on Data Book, the origins of CRISPR and the Sangamo story.

    26 min
  • S1 Ep2: What Healthcare Can Learn From Baseball

    Big data and analytics have become a big part of baseball. So, what can healthcare take from America's national pastime? A lot. Just ask Neil Kudler, MD, of Vertitech IT. But first, Data Book explores the sport's most notorious high-tech scandal.

    28 min

About Data Book

From the publisher's feed

Data Book spotlights the best stories and insights in healthcare technology. Big data and artificial intelligence are changing medicine and the world, but innovation also brings grave cybersecurity concerns. Every other week, this Chief Healthcare Executive podcast explores the people and plots behind the health-tech evolution—and the solutions to its problems.

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