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 MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ...
In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...
When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...
Many organizations assumed their infrastructure strategy was settled. It had been implemented, optimized and built into long-term plans. Recent changes in technology and vendor consolidation are forcing a second look. Cloud outages and licensing changes have exposed how much dependency exists on a small number of platforms. As a result, organizations are reevaluating whether those decisions still hold up under current conditions ...
Edge AI is strategically embedded in core IT and infrastructure spending across industries, according to the 2026 Edge AI Survey from ZEDEDA. The research shows that 83% of C-suite and IT executive respondents say edge AI is important to their core business strategy ...
As AI adoption accelerates, operational complexity — not model intelligence — is becoming the primary barrier to reliable AI at scale, according to the State of AI Engineering 2026 from Datadog ... The report highlights a compounding complexity challenge as AI systems scale ... Around 5% of AI model requests fail in production, with nearly 60% of those failures caused by capacity limits ...
For years, production operations teams have treated alert fatigue as a quality-of-life problem: something that makes on-call rotations miserable but isn't considered a direct contributor to outages. That framing doesn't capture how these systems fail, and we now have data to show why. More importantly, it's now clear alert fatigue is a symptom of a deeper issue: production systems have outgrown the current operational approaches ...
I was on a customer call last fall when an enterprise architect said something I haven't been able to shake. Her team had just spent four months trying to swap one AI vendor for another. The original plan said three weeks. "We didn't switch vendors," she told me. "We rebuilt half our integrations and discovered what we'd actually been depending on." Most enterprise leaders don't expect that to be the experience ...
Ask any senior SRE or platform engineer what keeps them up at night, and the answer probably isn't the monitoring tool — it's the data feeding it. The proliferation of APM, observability, and AIOps platforms has created a telemetry sprawl problem that most teams manage reactively rather than architect proactively. Metrics are going to one platform. Traces routed somewhere else. Logs duplicated across multiple backends because nobody wants to be caught without them when something breaks. Every redundant stream costs money ...
80% of respondents agree that the IT role is shifting from operators to orchestrators, according to the 2026 IT Trends Report: The Human Side of Autonomous IT from SolarWinds ...