Data Book

AI is already in healthcare, and it's already producing results. Learn how the tech is helping health systems across the country — and why its core benefit isn't all that complex. Featuring Joshua Gans, co-author of "Prediction Machines: The Simple Economics of Artificial Intelligence." Check us out online . Image via www.vpnsrus.com .

Healthcare has a tech problem. It’s slow to implement new technologies, slower to get its key players to adopt tech after implementation, and slower still to leverage tech insights to improve its ability to provide care.  This week on Data Book, we explore how an aversion to tech has harmed industry in the past by homing in on Napster and its toppling of the music industry. Then, we tap five of th...

When we discuss disruption, we imagine it coming from an outside force. But if an industry can innovate, can it also disrupt from within? We tell the story of IBM and the introduction of its personal computer to search for answers. Then we welcome Charles Aunger, a managing director for Health2047, a Silicon Valley upstart that is trying to shake up healthcare with support from the American Medica...

Gene editing is not science fiction. In fact, it’s rapidly entering mainstream medicine. But what ethical issues surround these fascinating technologies? And what is healthcare’s role in fostering discussions and building patient trust? In this episode, we tell the story of Henrietta Lacks, whose cells were taken without permission in 1951, to better understand consent. Then we draw insights from...

Season 2 Premiere: Pedialyte was always a drink for sick kids. Then adults began using it to fight hangovers. When the beverage’s manufacturer found out, it embraced the change. The point: As healthcare prioritizes the patient experience, leaders must adapt. And they can learn a lot from Pedialyte’s embrace of the customer experience. Featuring a discussion on the power of partnering with patients...

Patients who live in rural areas face significant health challenges, from socioeconomic forces to care-delivery issues. The problems all add mean one thing: Rural healthcare is in rough shape. The stories of two children facing life-threatening injuries highlight what's at stake. But our guest, William Paiva, PhD, is using a sprawling data set, algorithms, and high-tech tools to flip the status qu...

Electronic health records have a lot of promise, but they’re not where they need to be. The ultimate goal is interoperability, which would enable patients’ medical data to follow them anywhere. But that’s not happening—just ask Seema Verma, MPH, the head of Medicare and Medicaid, and Janae Sharp, a health IT key opinion leader. In this episode, we dig into their stories and document the rise of th...

In March, a self-driving car struck and killed a pedestrian, marking a grim first. But who is liable when AI fails and kills someone? It’s unfortunate but likely that healthcare will need to grapple with this very issue in the near future, and the self-driving car industry is the closest place to look for answers. Story: The first human killed by a robot Guest: Gautham Thomas, writer for Healthcar...

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...

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 .

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...

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 .

Health Care International, the "first paperless hospital," was supposed to change everything, but it went bust in mere months. What can healthcare learn from this story? Guests include Nick van Terheyden, MD, and Shereese Maynard, MBA.

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.

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 .

Not every doctor and health system embraces big data, artificial intelligence, and digital health. Join our guests Kevin Campbell, MD, and Janae Sharp to find out what's at stake. Plus, what healthcare can learn from journalism's botched tech evolution. Image credit: Wellcome Library, London. Wellcome Images images@wellcome.ac.uk http://wellcomeimages.org

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.

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.

When 10 million patient records were posted for sale on the dark web, a hacker collective called the Dark Overlord took credit for the data dump. The mysterious group's taunting attacks underscored a much larger problem for healthcare: cybersecurity. Read the full story here. http://www.hcanews.com/news/defending-your-data-from-the-dark-overlord