medical systems

With the combination of electronic health records, rich repositories of claims data, medical device outputs, laboratory and prescription systems, real-world data and the data mined from other information technology systems, the health and life sciences ecosystem can now gain new perspective. Download this complimentary paper to learn more about how health care data has the power to transform the sector, helping to address the industry’s biggest challenges surrounding costs and quality of patient care. By adopting solutions that allow them to both produce and consume data analytics insights in a way that better guides clinical and business strategies, innovative health care organizations can learn not only to survive but also thrive in the decades to come.

With the combination of electronic health records, rich repositories of claims data, medical device outputs, laboratory and prescription systems, real-world data and the data mined from other information technology systems, the health and life sciences ecosystem can now gain new perspective. Download this complimentary paper to learn more about how health care data has the power to transform the sector, helping to address the industry’s biggest challenges surrounding costs and quality of patient care. By adopting solutions that allow them to both produce and consume data analytics insights in a way that better guides clinical and business strategies, innovative health care organizations can learn not only to survive but also thrive in the decades to come.

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.

For Japan’s largest medical equipment wholesaler, Mutoh, ensuring its 300,000 products reach hospitals, clinics and health-centres on time is an imperative. Someone’s life depends on it. Without IT that wouldn’t be possible. But Mutoh’s IT infrastructure was unable to keep pace with the demands of the business. Every time an order came in, Mutoh had to pull data from different systems across multiple servers which was time-consuming. It needed an IT infrastructure that was fast, high-performing, reliable, stable, and flexible. Mutoh turned to Lenovo’s hyperconverged infrastructure that helped the company achieve: • The ability to seamlessly extract data from different systems across multiple physical servers helped Mutoh respond to customer orders as quickly as possible, thereby saving lives • A modular hyperconverged solution allowed Mutoh to invest on a need basis, improving ROI and addressing spikes in customer demand

For Japan’s largest medical equipment wholesaler, Mutoh, ensuring its 300,000 products reach hospitals, clinics and health-centres on time is an imperative. Someone’s life depends on it. Without IT that wouldn’t be possible. But Mutoh’s IT infrastructure was unable to keep pace with the demands of the business. Every time an order came in, Mutoh had to pull data from different systems across multiple servers which was time-consuming. It needed an IT infrastructure that was fast, high-performing, reliable, stable, and flexible. Mutoh turned to Lenovo’s hyperconverged infrastructure that helped the company achieve: • The ability to seamlessly extract data from different systems across multiple physical servers helped Mutoh respond to customer orders as quickly as possible, thereby saving lives • A modular hyperconverged solution allowed Mutoh to invest on a need basis, improving ROI and addressing spikes in customer demand

For Japan’s largest medical equipment wholesaler, Mutoh, ensuring its 300,000 products reach hospitals, clinics and health-centres on time is an imperative. Someone’s life depends on it. Without IT that wouldn’t be possible. But Mutoh’s IT infrastructure was unable to keep pace with the demands of the business. Every time an order came in, Mutoh had to pull data from different systems across multiple servers which was time-consuming. It needed an IT infrastructure that was fast, high-performing, reliable, stable, and flexible. Mutoh turned to Lenovo’s hyperconverged infrastructure that helped the company achieve: • The ability to seamlessly extract data from different systems across multiple physical servers helped Mutoh respond to customer orders as quickly as possible, thereby saving lives • A modular hyperconverged solution allowed Mutoh to invest on a need basis, improving ROI and addressing spikes in customer demand

For Japan’s largest medical equipment wholesaler, Mutoh, ensuring its 300,000 products reach hospitals, clinics and health-centres on time is an imperative. Someone’s life depends on it. Without IT that wouldn’t be possible. But Mutoh’s IT infrastructure was unable to keep pace with the demands of the business. Every time an order came in, Mutoh had to pull data from different systems across multiple servers which was time-consuming. It needed an IT infrastructure that was fast, high-performing, reliable, stable, and flexible. Mutoh turned to Lenovo’s hyperconverged infrastructure that helped the company achieve: • The ability to seamlessly extract data from different systems across multiple physical servers helped Mutoh respond to customer orders as quickly as possible, thereby saving lives • A modular hyperconverged solution allowed Mutoh to invest on a need basis, improving ROI and addressing spikes in customer demand

"Only 51% of device makers follow guidance from the FDA to mitigate or reduce inherent security risks. See how hospitals can harness the benefits of connected medical devices to achieve operational efficiencies, provide better patient care and reduce the overall risk to patient safety. Watch this on-demand webinar to discover: • Emerging issues and trends that are risky to healthcare IT systems and can directly affect patient safety, violate their trust and impact revenue • Best practices for shoring up network security blind spots with real-time asset inventory, network authentication and automated enforcement controls • Why real-time endpoint visibility is the key to achieving an effective and proactive cybersecurity strategy"

A hospital’s network is the foundation for the critical applications that run on it, where most of those applications are related to the hospitals core businesses. The return on the investments made in EMR (electronic medical records), PACS (picture archiving and communication system), clinical imaging systems and workstations on wheels, can only be truly realized if those assets are always available to the people in need in a reliable, secure and highly optimized way, at a fixed location, or while mobile. Find out how to simplify network management and enhance application and service visibility with Smart Analytics and PALM by downloading this whitepaper today.

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.

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 of 2020. 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.

In healthcare, as the trends supporting eHealth accelerate, the need for scalable, reliable, and secure network infrastructures will only grow.

As the Northwest Ohio area’s only academic medical center, the University of Toledo Medical Center (UTMC) delivers high-level physician education, while managing a 233-bed hospital for patients as well as 34 specialty clinics. This broad, complex level of responsibility needs a comprehensive, robust interoperability system to connect its different EHR systems so residents, physicians, and technicians can access data whenever, wherever they are. With more than a half-dozen disparate systems, UTMC needs a reliable, robust system to tie everyone together so providers have critical access to patient data from the classroom to the operating theatre. Read this case study to learn how the Mirth® solution has delivered to all of these requirements and enabled University of Toledo.

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.

"In healthcare, as the trends supporting eHealth accelerate, the need for scalable, reliable, and secure network infrastructures will only grow. This white paper describes the key factors and technologies to consider when building a private network for healthcare sector enterprises, including: Transport Network Equipment Outside Fiber Plant Converged Platforms Reliability, Redundancy, and Protection Reconfigurable Networks Management Software Security Services, Operation, Program Management, and Maintenance Download our white paper to learn more."

Healthcare providers use Packet-Optical Networks to meet performance and bandwidth demands. Learn the advantages of Packet-Optical Networks.

Healthcare providers use Packet-Optical Networks to meet performance and bandwidth demands. Learn the advantages of Packet-Optical Networks.

This white paper puts Wake Forest Baptist Medical Center's experience with EMR on display.

As a leader in medical informatics imaging, FUJIFILM Medical Systems U.S.A. uses the best technology tools to deploy their software solutions at customer sites. VxRail allows FUJIFILM to build for scale and quick deployments that are predictable and repeatable to ensure the availability of critical systems within the healthcare enterprise.

Wake Forest Baptist Medical Center, a nationally recognized fully integrated academic medical center and health system, is dedicated to improving patient care and advancing medical research. However, its aging, legacy infrastructure had to be modernized in order to meet the demands of its ecosystem. Wake Forest chose market-leading EMC converged infrastructure from VCE in order to simplify IT operations and drive business efficiency. VCE Vblock® Systems built on EMC XtremIO all-flash storage enabled significant improvements in application infrastructure performance and agility, delivering an overall 30 percent performance improvement to end-users. Read this white paper to find out more about how EMC converged solutions from VCE helped Wake Forest Baptist Medical Center modernize its business.

Wake Forest Baptist Medical Center, a nationally recognized fully integrated academic medical center and health system, is dedicated to improving patient care and advancing medical research. However, its aging legacy IT infrastructure had to be modernized in order to meet the requirements of the business. Wake Forest Health turned to market-leading EMC Converged Infrastructure from VCE to simplify IT operations and drive business efficiency. In addition to multiple VCE Vblock® systems, the Vblock 540 with EMC XtremIO all-flash storage enabled significant improvements in application infrastructure performance and agility. After deploying the Vblock 540, Wake Forest experienced an overall 30 percent performance improvement to end users and decreased the time needed for storage provisioning from 24 hours to less than an hour. Read this white paper to find out more about how EMC Converged Infrastructure from VCE helped Wake Forest Baptist Medical Center modernize its business.

This is a case study about the Varian Medical system's focus on energy and saving lives through advanced technology.

Radiological Associates of Long Island implemented Universal Viewer to give radiologists PACS reading tools and advanced features across the enterprise and anywhere Internet access is available.

Radiological Associates of Long Island implemented Universal Viewer to give radiologists PACS reading tools and advanced features across the enterprise and anywhere Internet access is available.