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Covid-19 spurs collaboration in telehealth

MIT Technology Review

The coronavirus pandemic has led to enhanced health-care collaboration, innovation, and increased use of digital technologies. Telehealth enables doctors to safely connect with patients virtually and monitor them remotely, whether in different cities or down the hall. And smarter and smaller medical devices are producing better outcomes for patients--a disruption is sensed, like low blood sugar or a too-rapidly beating heart, and a therapy is applied, in real time. This podcast episode was produced by Insights, the custom content arm of MIT Technology Review. It was not produced by MIT Technology Review's editorial staff. All of this is aided by improved processing capabilities and data--lots of data, and that means artificial intelligence. The guest in this episode of Business Lab is Laura Mauri, vice president of global clinical research and analytics at Medtronic. And she knows all about how data can help drive better patient outcomes, improve the patient experience, and provide valuable information for doctors and medical device creators. Dr. Mauri is an interventional cardiologist and one of the world's leading experts on clinical trials, but, as she says, the success of a clinical trial really does come down to the patient experience, and how it's improved. Mauri also has great hope for health care and technology. And although she cautions that this work is not simple, you can literally see progress happening--which is the outcome we all want. Business Lab is hosted by Laurel Ruma, director of Insights, the custom publishing division of MIT Technology Review.


Get Ready for the Next Security Nightmare: Medical Devices

WIRED

Hacked medical devices have made scary headlines for years now. Dick Cheney ordered changes to his pacemaker to better protect it from hackers. Johnson & Johnson warned customers about a security bug in one of its insulin pumps last fall. And St. Jude has spent months dealing with the fallout of vulnerabilities in some of the company's defibrillators, pacemakers, and other medical electronics. You'd think by now medical device companies would have learned something about security reform.


Smart devices, a cohesive system, a brighter future

MIT Technology Review

If you need a reason to feel good about the direction technology is going, look up Dell Technologies CTO John Roese on Twitter. The handle he composed back in 2006 is @theICToptimist. ICT stands for information and communication. This podcast episode was produced by Insights, the custom content arm of MIT Technology Review. It was not produced by MIT Technology Review's editorial staff. "The reason for that acronym was because I firmly believed that the future was not about information technology and communication technology independently," says Roese, president and chief technology officer of products and operations at Dell Technologies. "It was about them coming together." Close to two decades later, it's hard not to call him right. Organizations are looking to the massive amounts of data they're collecting and generating to become fully digital, they're using the cloud to process and store all that data, and they're turning to new wireless technologies like 5G to power data-hungry applications such as artificial intelligence (AI) and machine learning. In this episode of Business Lab, Roese walks through this confluence of technologies and its future outcomes. For example, autonomous vehicles are developing fast, but fully driverless cars aren't plying are streets yet. And they won't until they tap into a "collaborative compute model"--smart devices that plug into a combination of cloud and edge-computing infrastructure to provide "effectively infinite compute." "One of the biggest problems isn't making the device smart; it's making the device smart and efficient in a scalable system," Roese says. So big things are ahead, but technology today is making huge strides, Roese says. He talks about machine intelligence, which taps AI and machine learning to mimic human intelligence and tackle complex problems, such as speeding up supply chains, or in health care, more accurately detecting tumors or types of cancer.


How hospitals can be proactive to prevent ransomware attacks

#artificialintelligence

Ransomware can hit any type of organization or business. Cybercriminals count on the fact that many victims will choose to pay the ransom, especially if the stolen or encrypted data isn't recoverable any other way. But hospitals, health agencies, and medical facilities can be particularly exposed to ransomware as they hold sensitive research information and patient data that they can't afford to lose. That's especially true now as the global medical community is focused on containing the spread of the coronavirus. Health and medical facilities have been tempting targets for cybercriminals, according to a recent survey commissioned by Keeper Security and conducted by the Ponemon Institute.


AI, Robots, and Cyborgs -- Inside IoT With Chris Poulin

#artificialintelligence

This is Recorded Future, inside threat intelligence for cybersecurity. It's a wide-ranging category, covering everything from connected thermostats, refrigerators, and security cameras to industrial control systems, self-driving cars, and medical devices. It's hardly an exaggeration to say that if a device has a power source, somebody is thinking up a way to connect it to the internet. And with that comes opportunities for improving our lives and the world we live in, and risks to our security and privacy. Our guest this week is Chris Poulin. He's a principal at Booz Allen Hamilton, where he leads their Internet of Things security practice. Devices have been connecting to the internet for a long time, and in fact, it's kind of interesting. Way back in my career, I was always fascinated where physical and digital meet, and so I would say, probably around 2009 or so is when I sort of realized that the internet was a place where other things … So, beyond, for example, industrial control systems, which had to send their telemetry. So, pumps saying how fast their motors were spinning, how much heat, how much pressure was in pipes, et cetera, et cetera, all of that was being reported in industrial control systems, and I'd say that was probably one of the first … what we would consider nowadays to be "Internet of Things" things. So, there was always this awareness that they were connected, and then the rest of the world decided that they were going to connect other things like cars. And so, for example, OnStar and Uconnect and all of those things have been connecting cars back to a call center for a long time, but it used mobile airwaves. So, you could argue that those things were connected.