Paessler AG announced the immediate availability of a network monitoring offering for the healthcare industry, including hospitals, physicians groups, radiological firms, laboratories, pharmaceutical companies and others.
Paessler’s PRTG Network Monitor now features sensors designed for the Digital Imaging and Communications in Medicine (DICOM) and Health Level Seven International (HL7) protocols used throughout healthcare.
Using PRTG Network Monitor, organizations can monitor their entire information technology (IT) infrastructure and medical and clinical systems simultaneously with one solution, on one dashboard, in real-time.
PRTG makes it possible to continuously monitor the performance of networks, systems, hardware, applications and connected devices - on premises, in the cloud, or in hybrid environments that include physical and virtualized assets. With feeds from the more than 200 pre-configured sensors Paessler offers, PRTG’s highly customizable dashboards reveal in a glance the precise information that administrators want to see. This includes real-time intelligence on the performance and health of the network as a whole down to granular details such as the temperature and capacity levels of individual servers and devices.
When something goes awry, such as the failure of a fan in a server, or any pre-determined performance thresholds of the user’s choosing are met, PRTG alerts authorized users. Set up takes minutes and custom sensors, including those associated with the Internet of Things, can also be added with ease.
Johannes Liegert, Senior Developer at Paessler, said: “The move to value-based care and the data transfer it requires, the adoption of electronic medical records (EMR), and innovations occurring in disciplines like imaging have fundamentally changed the healthcare IT landscape. Having visibility over your traditional IT infrastructure is no longer enough. You must also be able to monitor the connected hardware and software used throughout clinical settings for everything from MRIs to appointment setting and billing. With PRTG, healthcare IT professionals can now work with a comprehensive view of everything that is happening at any given point in time across their entire connected healthcare IT ecosystem and be the first to know if a problem arises.”
The DICOM and HL7 Sensors in PRTG empower healthcare IT professionals and administrators to monitor a variety of critical systems and functions, including:
- Hospital Information Systems (HIS): PRTG makes it possible to see what is happening across the entire integrated HIS, not only as it relates to the exchange of data, but also the computing resources and devices involved. Notably, PRTG can be deployed on-premises or in the cloud, and has purpose built sensors for many of the most widely used IT solutions in the industry, including those from Amazon Web Services, Cisco, Fujitsu, Microsoft, NetApp, VMware and others. With PRTG it has never been easier for hospital IT departments to monitor their medical, financial and administrative systems in their entirety.
- Laboratory Information Management Systems (LIMS): PRTG also makes it easy to oversee all of the systems and devices integrated with laboratory processes, as well as the data transported between them, including information related to specimen management, testing, analysis, disposal and compliance. Monitoring also ensures that physicians and clinical teams enjoy fast access to the findings they need.
- Radiological Information Systems (RIS): All of the systems, hardware and software within radiological and imaging departments and associated workflows can be monitored through PRTG’s intuitive dashboard - enabling IT to easily pinpoint the cause of any delay in the delivery of images between devices, departments or physicians.
- Picture Archiving and Communication System (PACS): PRTG also monitors the entire PACS, making it possible to ensure that all of the systems required for the secure movement, storage and archiving of images function as they should. This includes workstations used to view and interpret scans.
“In today’s increasingly complex healthcare IT systems the failure of a single device, a minor glitch in software or even a simple human mistake can have significant repercussions on business operations and - most importantly - patient care,” added Liegert. “You have to see a problem before you can fix it. That’s why monitoring is crucial.”
The Latest
In the world of digital-first business, there is no tolerance for service outages. Businesses know that outages are the quickest way to lose money and customers. For smaller organizations, unplanned downtime could even force the business to close ... A new study from PagerDuty, The State of AI-First Operations, reveals that companies actively incorporating AI into operations now view operational resilience as a growth driver rather than a cost center. But how are they achieving it? ...
In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...
Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...
In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ...
Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...
Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...
Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...
The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...
The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...
In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...