This study surveyed radiologists about inefficiencies in their workflows, revealing a number of shortcomings with the information technologies radiologists employ to review, interpret, and report diagnostic imaging examinations.
Stillwater Medical Center: Healthcare provider with 1,000 employees chooses VIPRE after its old antivirus kept crashing systems, disrupting operations and failing to protect against malware infections. Learn how this hospital cured its antivirus ills with VIPRE.
Published By: DigiCert
Published Date: Jun 19, 2018
The Internet of Things (IoT) has rapidly transformed the digital landscape and the world we live in. Intelligent devices and sensors connect smart cars, robotic manufacturing equipment, smart medical equipment, smart cities, industrial control systems, and much more in a way that improves lives and saves businesses billions of dollars. But along with its benefits, rapid IoT growth introduces a new dimension of security vulnerabilities that dramatically escalates the nature and seriousness of cybercrime risks.
In addition to traditional confidentiality cyber risks, IoT threats include attacks that can:
• Render smart appliances useless
• Shut down city power grids
• Threaten lives through hacked pacemakers and other medical devices.
Such security flaws not only endanger lives, frustrate customers, and disrupt business operations, but they create significant cost and public relations damage for IoT developers and manufacturers.
Health care organizations face a variety of security challenges—from the growing presence of online personal data to new methods of accessing and transferring medical information. Protecting sensitive data requires more vigilance than ever.
Learn how your IT security peers are responding to threats from mobile and cloud technologies to address these open systems in this latest SANS survey:New Threats Drive Improved Practices: State of Cybersecurity in Health Care Organizations. Inside you’ll see all the results—revealing better awareness of risks with improved commitment of resources and support.
Download now to learn more about how leading health care organizations:
Assess information ecosystems — to understand gaps in infrastructure
Establish data-centric security controls — focusing on information, not just infrastructure
Manage identities — tying data controls closely with identity and access management
Invest in incident response — documenting and maintaining a formal response p
Health care is often considered a lucrative business for those involved in waste, fraud and abuse. Today’s ever-accelerating technology changes make data related to health care, medical and financial issues even more attractive (and profitable) to cybercriminals who sell medical identities and siphon money from stolen financial records. Risks are exponentially increased because of organizations’ reliance on electronic systems for mission-critical functions. According to 61% of respondents to the SANS 2014 State of Cybersecurity in Health Care Organizations survey, medical/health record systems
are considered the most at-risk information asset among the 224 health care-related organizations represented in the survey.
Imagine getting into your car and saying, “Take me to work,” and then enjoying an automated
drive as you read the morning news. We are getting very close to that kind of
scenario, and companies like Ford expect to have production vehicles in the latter part
Driverless cars are just one popular example of machine learning. It’s also used in
countless applications such as predicting fraud, identifying terrorists, recommending
the right products to customers at the right time, and correctly identifying medical
symptoms to prescribe appropriate treatments.
The concept of machine learning has been around for decades. What’s new is that
it can now be applied to huge quantities of data. Cheaper data storage, distributed
processing, more powerful computers and new analytical opportunities have dramatically
increased interest in machine learning systems. Other reasons for the increased
momentum include: maturing capabilities with methods and algorithms refactored to
run in memory; the
With the proliferation of health and fitness data due to personal fitness trackers, medical devices and other sensors that collect real-time information, cognitive computing is becoming more and more important. Cognitive computing systems, with the ability to understand, reason and learn while interacting with human-generated data, enable providers to find meaningful patterns in vast seas of information. IBM Watson Health is leveraging the power of cognitive computing to help providers make data-driven decisions to improve and save lives worldwide, while controlling healthcare costs. Read our whitepaper and learn about the new era of cognitive computing and how it can improve health outcomes, optimize care and engage individuals in making healthy choices.
Published By: LogRhythm
Published Date: Feb 07, 2017
In February 2016, the computer network at Hollywood Presbyterian Medical Center (HPMC) was down for more than a week as the Southern California hospital worked to recover from a ransomware attack. Hospital administrators declared an internal emergency as staff struggled to access patient records and computer systems critical for patient care.
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