ACCE CE-IT SymposiumPre-HIMSS19
Safe and Effective Application of Networked Medical Systems
Complimentary! Pre-Registration is required for this Symposium
Date: Monday, February 11, 9:00 AM – 4:30 PM
Location: Hyatt Regency Orlando, Bayhill 23/24 (Convention Level), 9801 International Drive, Orlando, FL 32819.
The American College of Clinical Engineering was formed to establish a standard of competence and to promote excellence in clinical engineering practice, and to promote safe and effective application of science and technology in patient care.
Today, safe and effective application of science and technology has transformed into (among other things) ensuring that medical equipment can integrate and network safely in the hospital network, and can be protected from outside attackers. This Symposium has nationally and internationally recognized speakers and engineers who will address this shift in clinical engineering practice and the steps necessary to address those risks and vulnerabilities.
Topics to be covered and Speakers:
Sponsors
Asimily's Insight is a healthcare focused connected device lifecycle management solution. Currently Asimily's Insight solves for the following use cases: Inventory, Device relationships, Risk Monitoring and Mitigation, Patch and Mitigation prioritization, FDA recall monitoring and Asset utilization. This provides the health system with several benefits around procurement and planning, risk management, patch prioritization and in understanding how their devices are being used in the environment. Asimily's Insight integrates with several systems like CMMS, SIEMs, vulnerability scanners, firewalls and others to ensure that health systems can leverage their existing investments. Asimily's Insight uses passive scanning techniques to gather network information to ensure that the solution does not interfere with the operation of medical and IoT devices . Asimily's Insight also appends the network information with information pulled from a variety of other sources and Asimily research to provide a comprehensive view of devices to the health system. Asimily is working with different health systems across various sizes and is partnering with different players across the ecosystem. For more information please visit Asimily at www.asimily.com or contact us at info@asimily.com . Also visit the Asimily booth at the Cybersecurity command center at HIMSS.
The purpose built CloudPost enterprise IoT platform provides instant, granular device visibility and intelligence which enables IT to automatically identify, classify, regulate, and secure network connected devices through an elegantly simple and intuitive interface. Device and device group profiles, active risk assessment, and exhaustive flow analytics give complete visibility of the enterprise environment. And CloudPost uniquely utilizes behavioral analytics so anomalous behavior is quickly identified, effectively eliminating vulnerabilities.
With a few clicks, IT can quickly deploy device micro-segmentation policies, easily configure wired & wireless network and firewall infrastructure, and set communication and application policies for all connected devices. And with the detailed device and network data processed, business leaders can intelligently optimize the utilization of high-capital equipment in order to maximize usage and minimize down time.
The Nuvolo Clinical EAM platform is a modern, cloud-based solution that enables our customers to transform the way clinical assets are managed, tracked and measured. Nuvolo provides service workers a user-friendly online and offline mobile experience.
Zingbox is the provider of the most widely deployed healthcare Internet of Things (IoT) analytics platform. Recently named a “Cool Vendor in IoT Security” by Gartner and recipient of the Gold Stevie Award for Most Innovative Company,
Zingbox helps hospitals realize the full potential of their IoT medical devices, delivering a new standard for uninterrupted quality care through device inventory, management, security and optimization for the entire IoT environment. The company’s device-specific AI-powered machine learning platform uses the first real-time deep behavioral learning technology for connected medical devices. For more information, please visit
http://www.zingbox.com.
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