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.
The long migration to electronic health records (EHRs) in the U.S. is set to speed up with the funding authorized by the American Reinvestment and Recovery Act of 2009. But what are the specific risks when clinicians can’t access electronic health records? How far-reaching are the consequences when EHR data is lost, or its integrity is compromised? This paper looks at the mission-critical role of EHR systems, and introduces availability solutions that build in uptime protection to ensure the continuity of operation that both caregivers and patients can depend on.
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
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
Get this free white paper to read why mass casualty and other public health emergencies create a demand for information within hospitals, between hospitals, between hospitals and local incident command centers, and between local, statewide and multi-state incident command centers and agencies.
Published By: Castelle
Published Date: Nov 01, 2006
Easily implemented and integrated with electronic medical record systems, network fax servers can play a valuable role in supporting HIPAA objectives, offering a standardized, enterprise-wide faxing solution, and helping to maintain a high standard of security, efficiency and organization.
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.
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.
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.
Intel teamed up with Philips to show that servers powered by Intel® Xeon®
Scalable processors could be used to efficiently perform deep learning inference
on patients’ X-rays and computed tomography (CT) scans, without the need for
accelerators. The ultimate goal for Philips is to offer artificial intelligence (AI) to its
end customers without significantly increasing the cost of the customers’ systems
and without requiring modifications to the hardware deployed in the field.
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