Medtech & Devices

Abbott releases firmware patch to fix cybersecurity flaws in 350,000 medical devices

The device manufacturer acquired St. Jude Medical last year and has since been working to fix severe vulnerabilities found in its pacemakers. Abbott released its second and final round of planned cybersecurity updates to its pacemakers, programmers and remote monitoring systems to fix severe cybersecurity flaws in the devices.The patch will update the battery performance

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Reducing Medical Device Cyber Risks

Many medical devices, especially older ones, were not designed with cybersecurity in mind, so healthcare organizations need to take special precautions to reduce risks, says security expert Justine Bone.For instance, when it comes to ID and access management controls, “authentication is being built into devices today, such that users of the devices and patient data

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Effective Devices Make All the Difference in Clinician Mobility Strategies

Choosing the right phone can be the difference between increasing mobility or headaches. When it comes to mobile devices in healthcare, the perfect device does not yet exist.While industry is starting to catch on, popular smartphones or tablets for consumer use often dont offer the resilience or security that clinicians need for their day-to-day workflow,

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Move Over Functional Obsolescence Cybersecurity Is Driving Lifecycle Management For Connected Medical Devices

As CIOs and CISOs who walk the halls of healthcare institutions know all too well, the number of devices being enabled in the Internet of Things and Internet of Medical Things around us is exploding exponentially. With this explosion, complexities arise in security, data collection, storage, and especially lifecycle management. Devices have varying degrees of

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Personalizing wearable devices

When it comes to soft, assistive devices the wearer and the robot need to be in sync. But every human moves a bit differently and tailoring the robot’s parameters for an individual user is a time-consuming and inefficient process. Now, researchers have developed an efficient machine learning algorithm that can quickly tailor personalized control strategies

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