Hospital Group CIO Deploys Armis to Facilitate Better Patient Care Through Informed Decision-Making
Mater Misericordiae University Hospital in Dublin, Ireland is known nationwide as a top provider of innovative medical care to its patients. The hospital’s Group CIO with the hospital CISO realized that comprehensive security and network visibility was essential to achieving the organization’s mission. To fulfill the organization’s commitment to excellence, quality, and accountability, the CISO implemented Armis as a way to help clinicians and other hospital workers to swiftly, freely, and securely access the information they need to make the right treatment decisions for patients. Armis also provides broad visibility to all network-connected assets, including third-party equipment, and, by doing so, helps lower overall risk and maintain compliance with E.U. regulations such as the NIS2 directive.
Founded in 1861 by the Sisters of Mercy, Mater Misericordiae University Hospital (Mater Hospital) in Dublin, Ireland is a level-four acute care teaching hospital and is part of the Ireland East Hospital Group. The hospital provides frontline and specialized patient care for both the immediate area and at a regional and national level. It serves a population of roughly 1.5 million and has an inpatient bed count of approximately 712.
Continue ReadingChallenges
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Closing security gaps and improving overall risk and security posture -
Getting a better handle on third-party and supply chain assets connecting to the network
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Uncovering vulnerabilities and determining the security status of all assets
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Ensuring that clinicians have fast and easy access to the relevant data that helps them provide the best possible healthcare for patients
Results
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Immediate and complete visibility to corporate, guest, and third-party assets
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Improved oversight over biomedical asset security status and updates
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Measurable risk reduction through enforceable supply chain accountability
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Maintaining compliance with European Union cybersecurity directives
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Delivery of optimum healthcare to patients based on decisions informed by data
