Every eight hours, critical medications must arrive at over 3,200 pharmacies across Belgium. That’s the level of precision and reliability Febelco, the country’s largest pharmaceutical distributor, delivers—day in, day out.

But when IT systems falter, the consequences aren’t just technical. They’re personal. Missed deliveries. Disrupted treatments. Lives impacted.

Febelco knew that ensuring operational resilience meant modernizing their infrastructure monitoring. Their existing system—sprawled across six fragmented tools—couldn’t keep up. Manual troubleshooting took hours. False alerts flooded the team. And worst of all, a single outage could cost up to €7 million per day.

The solution: unified observability built for healthcare logistics
Febelco turned to LogicMonitor to eliminate monitoring blind spots, reduce downtime, and gain actionable insights across their complex infrastructure.

Here’s how LogicMonitor helped:

•  75% faster troubleshooting
  Root cause analysis that once took hours—or even days—now takes just minutes, thanks to AI-driven anomaly detection and centralized visibility.
•  Zero major outages since implementation
  By consolidating monitoring and using real-time alerts, Febelco ended the service disruptions that once paralyzed national operations and threatened on-time delivery.
•  6 tools replaced with one unified platform
  LogicMonitor’s LM Envision platform gave Febelco end-to-end visibility across their infrastructure, ERP, logistics, and warehouse systems—cutting maintenance overhead and freeing IT to focus on innovation.
•  Smarter operations, stronger compliance
  Custom dashboards, LM Logs, and cloud-readiness help Febelco scale securely while preparing for NIS2 compliance and completing their Azure migration.

“Since implementing LogicMonitor, we’ve seen a 4x improvement in incident resolution speed. It has made our service delivery faster and more reliable, protecting both our operations and our customers.”
— Sven Moreels, IT Infrastructure Manager, Febelco

Why observability matters in pharma logistics
Febelco’s transformation is a case study in how digital infrastructure directly supports public health. With LogicMonitor, their IT team isn’t just keeping systems online—they’re safeguarding a national medication supply chain.

With LogicMonitor, pharmaceutical organizations can:

• Prevent IT failures that disrupt delivery timelines
  
• Centralize monitoring and eliminate alert noise
  
• Scale infrastructure without scaling headcount
  
• Enable cloud migration, regulatory alignment, and AI-powered responsiveness
  

The result?
Greater IT resilience. Faster delivery. And peace of mind for the patients who depend on it.

In today’s hospitals, technology is woven into every touchpoint of patient care. Nurses check vitals through digital monitors. Physicians review test results in the EHR. Medications get ordered, verified, and delivered through a network of connected systems. But when even one link in that chain fails, the impact isn’t just inconvenient—it’s dangerous.

Downtime doesn’t just slow operations. It delays diagnoses, derails treatment plans, and puts both patient trust and clinical safety at risk.

The Real Cost: Money and Human Well-being When Healthcare IT Goes Down

When healthcare IT systems fail, the financial impact is significant. A single day of downtime, on average, can cost healthcare organizations around $1.9 million. These costs quickly add up from lost revenue, inefficient operations, and potential fines. What’s more, getting things back up and running often takes over 17 days per incident. However, beyond the financial impact, the human toll is substantial. 

Remember the 2024 CrowdStrike update? That global IT disruption caused hospitals worldwide to cancel procedures, delay treatments, and even revert to old paper workflows because critical systems were simply unavailable. In moments like those, routine care gets compromised, putting patient safety and smooth operations at risk.

Additionally, these disruptions erode patient trust. Patients often feel frustrated, anxious, and vulnerable when essential systems fail to function properly, especially when they expect real-time, seamless experiences. Our healthcare professionals also face immense stress, wrestling with manual workarounds and unreliable systems, which can contribute to burnout.

The Limitations of Older IT Approaches

Modern healthcare IT environments are incredibly complex, combining on-premises infrastructure, multiple cloud platforms, medical devices, and edge environments. Keeping a clear view of performance and security across this vast landscape is demanding. Legacy monitoring often falls short in this regard, creating critical “blind spots” that hinder quick resolution and put patient care at risk.

For a deeper dive into why older IT approaches can’t keep pace with today’s demands, we’ve covered it in more detail, including real-world examples like the critical outage affecting an infant protection system, where 25 engineers spent five hours trying to pinpoint a root cause—90% of that time just identifying the issue. During those five hours, the system designed to safeguard newborns from risks like abduction or unauthorized movement was offline, leaving hospital staff without automated safeguards. In a high-stakes environment like neonatal care, every minute without protection adds anxiety and risk. This incident underscores why healthcare IT teams need complete, correlated visibility across infrastructure and clinical systems because when safety systems fail, there’s no room for guesswork.

Building for Today and Tomorrow with Hybrid Observability

Hybrid observability fundamentally changes how healthcare organizations monitor their IT ecosystems. It unifies perspectives across your entire hybrid environment, connecting every part of your healthcare IT regardless of location. This approach bridges data gaps and simplifies complexity by consolidating information from across your data centers, clouds, applications such as Epic, networks, and end-user experiences.

With AI, hybrid observability can proactively identify issues before they impact care by detecting anomalies and providing in-depth system intelligence for clinical workflows. This means better efficiency, enhanced patient safety, dramatically cut troubleshooting times, and improved compliance by streamlining audit preparation and reducing security risks.

The Business Case for Patient-Centered IT

From bedside monitors to cloud-based EHRs, every part of the healthcare IT ecosystem plays a role in patient outcomes. When any link breaks, the consequences go far beyond inconvenience—they compromise patient safety, delay treatments, and add pressure to already burdened care teams.

Yes, the financial stakes are high—millions lost per day, thousands per minute—but the clinical stakes are even higher. Every outage is a risk to patient trust, clinician performance, and system-wide safety.

That’s why leading healthcare organizations are shifting from reactive monitoring to proactive observability. They’re breaking down silos, gaining visibility across hybrid environments, and resolving issues before they interrupt care.

The next generation of healthcare won’t just rely on IT. It will rely on resilient, intelligent systems that support clinicians every step of the way.

Because when IT works, care works. And that’s what matters most.

Healthcare IT environments have become incredibly complex. Think about everything running simultaneously in your organization: physical medical devices, cloud platforms, clinical applications like Epic, and patient-facing applications. Each component needs to work together seamlessly, much like how ICU monitors track multiple vital signs at once.

Many healthcare organizations still use monitoring solutions designed for simpler times, when systems were more isolated. Unfortunately, these tools often miss critical warning signs and can significantly slow down response times when every second counts.

Hybrid observability brings together visibility across every part of your healthcare IT infrastructure, regardless of where it lives. It provides the comprehensive, real-time insights that healthcare leaders need to maintain resilient, compliant systems that support quality patient care.

Hybrid observability is the new essential for navigating complex healthcare IT.

TL;DR

Traditional monitoring falls short, creating blind spots and hindering quick responses in today's intricate healthcare IT environments.

Hybrid observability provides a unified, comprehensive view across all systems—from medical devices to cloud EHRs across on-premises infrastructure, cloud services, or edge—giving a complete picture of your IT health.

Powered by AI, it proactively detects anomalies and anticipates issues, allowing IT teams to prevent problems before they impact patient care.

Embracing hybrid observability means less downtime, stronger compliance, and empowering your teams to build a truly resilient and innovative healthcare IT future.

Why Healthcare IT Needs Hybrid Observability

Healthcare IT systems require exceptional reliability, yet many organizations still work with fragmented monitoring solutions. This disconnect offers limited views without proper context, making problem identification much harder and extending downtime. This creates real risks for patient safety and regulatory compliance.

Consider this real example: A hospital’s infant protection security system went down. While the infrastructure looked stable on paper, it took 25 engineers and five full hours just to find the root cause. During that time, the hospital’s most vulnerable patients—newborns in the NICU and maternity wards—were left without automated security monitoring that prevents infant abductions and ensures immediate response to medical emergencies. Clinical staff had to perform manual security checks and constant visual monitoring, diverting critical resources from direct patient care and creating dangerous gaps in protection. For five hours, every minute posed potential life-threatening risks to infants who depend on continuous, automated monitoring for their safety and survival.

This is where hybrid observability makes a difference. Unlike traditional monitoring, hybrid observability extends beyond just tracking technology layers. It covers all the distributed environments typical in healthcare IT: on-premises medical devices, cloud-hosted EHRs, network infrastructure, and patient portals across hospitals, clinics, and remote care locations.

Read the full healthcare IT Leader’s guide to see what resilient systems really look like.

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Instead of juggling separate data silos, hybrid observability provides one consolidated view. It’s similar to how clinicians integrate multiple diagnostic inputs such as vital signs, lab results, imaging data, patient history, and clinical observations to build a comprehensive clinical picture. Just as no single metric tells the complete story of a patient’s condition, isolated IT monitoring tools can’t reveal the full health of your healthcare technology ecosystem.

For healthcare IT, this translates to:

• Complete clinical visibility: A single dashboard that correlates infrastructure health, application performance, and clinical workflows, revealing how issues cascade through your systems.
• Early warning and prevention: AI continuously analyzes data from across your healthcare IT ecosystem. It detects unusual patterns specific to healthcare workflows, anticipates potential failures before they affect patient care, and provides actionable recommendations.
• Simplified compliance: Continuous, unified monitoring makes it easier to meet HIPAA, HITRUST, and other regulatory requirements.
• Reduced alert fatigue: Smart filtering separates truly critical alerts from background noise, helping IT and clinical teams focus on issues that actually impact patient care and staff productivity.

By bringing together alerts and performance metrics from different systems into one dashboard, hybrid observability dramatically reduces investigation time and enables faster, safer problem resolution. Healthcare organizations gain clear insight into how backend infrastructure and network performance directly affect patient care, helping IT teams work more effectively.

How AI Powers Hybrid Observability in Healthcare

Unified visibility across healthcare IT systems significantly improves how we detect and resolve issues. However, the complexity of healthcare IT demands something more: artificial intelligence that can identify and address potential problems before they affect clinical care.

AI strengthens hybrid observability by adding intelligent, automated insights across your entire IT ecosystem.

• Anomaly detection: AI continuously examines real-time data streams, quickly spotting unusual patterns in systems like medical device networks or EHR platforms, which helps catch developing issues early.
• Dynamic thresholds: Rather than using fixed alerts, AI adjusts thresholds based on actual healthcare workloads, reducing false alarms during predictable usage spikes.
• Forecasting and prediction: By analyzing historical data alongside current metrics, AI anticipates potential bottlenecks—like approaching storage limits or network congestion—that could interrupt patient care.
• Root cause analysis (RCA): AI automatically connects alerts, logs, and metrics from different IT components, dramatically speeding up the process of finding underlying problems.
• Event intelligence: AI groups related alerts into single, actionable insights, reducing alert overload and helping IT teams respond effectively to complex, interconnected issues.

These AI capabilities transform hybrid observability from a reactive monitoring approach into a proactive strategy for healthcare IT resilience. With AI support, teams can address issues before they escalate, maintaining stable, compliant clinical systems optimized for patient care.

Edwin AI takes your healthcare IT data from scattered signals and turns it into proactive insights.

See how

Getting Started with Hybrid Observability in Healthcare

Successful implementation starts with connecting your observability efforts to your healthcare organization’s core priorities: patient safety, system reliability, and regulatory compliance.

Look for a platform that provides:

• Unified visibility across on-premises, cloud, and edge environments
• Role-based access configured for clinical staff, IT professionals, and leadership
• AI-powered analytics explicitly built for healthcare’s unique complexity and regulatory requirements

Work closely with your vendor to ensure:

• A smooth, phased rollout that minimizes disruption to clinical and administrative workflows
• Thorough training and change management that helps your staff view observability as a strategic advantage, not just another tool
• Continuous support and optimization that evolves with your healthcare IT needs

These steps help transform observability from a simple monitoring requirement into a core component of healthcare IT resilience and innovation.

Building a Resilient Healthcare IT Future with Hybrid Observability

Modern healthcare IT goes beyond keeping systems operational. It’s about delivering seamless, secure, patient-centered care within an increasingly complex digital environment. Hybrid observability provides the comprehensive visibility and AI-driven insights necessary to meet this challenge effectively.

By implementing a unified, intelligent observability platform designed for healthcare, IT leaders can minimize downtime, improve compliance, and give their teams the tools to act proactively before small issues become major incidents.

The future of healthcare IT requires resilience, flexibility, and innovation. Hybrid observability powered by AI provides the foundation for achieving all three.

Supporting every hospital chart, scan, and bedside alert is a web of digital systems—EHRs, lab interfaces, clinical apps, networks, and connected devices—all working in sync or struggling to. When something slips, say, an Epic interface queue backs up and lab results don’t reach the attending physician on time, the consequences aren’t theoretical. That delay might mean a sepsis alert gets missed. A treatment window closes. A patient’s outcome changes. The impact is immediate, measurable, and personal.

Despite this complexity, many healthcare organizations are still relying on legacy monitoring tools built for a much simpler time.

Today’s healthcare infrastructure spans on-prem, cloud, SaaS, and edge. Legacy tools weren’t built to monitor systems this interconnected.

When visibility fails, care suffers. One hospital spent five hours diagnosing a single infant protection system outage. 90% of that time was spent just finding the issue.

Siloed monitoring delays root cause identification, especially when critical apps like Epic are involved.

CIOs need more than uptime dashboards—they need system-wide observability that connects performance data to clinical impact in real time.

These environments are distributed, dynamic, and deeply interconnected, making it nearly impossible for siloed monitoring tools to surface root causes fast enough.

When Visibility Fails, Patient Care Suffers

When the tools can’t see the problem, patients feel the impact.

At one U.S. hospital, an infant protection system went offline. While the underlying infrastructure appeared healthy, it still took five hours and 25 engineers to identify the issue. Ninety percent of that time was spent just locating the root cause. During the outage, staff had to rely on manual security protocols to monitor and safeguard infants, increasing the risk of errors such as unauthorized movement or mother-infant mismatches—risks that the infant protection and security system is designed to prevent in this highly sensitive care environment.

90% of a five-hour outage was spent just finding the root cause for 25 engineers working to restore an infant protection monitoring system.

A single day of downtime costs healthcare systems an average of $1.9 million, not including reputational damage and regulatory exposure. Beyond the financial impact, system outages put patients directly at risk, delaying critical treatments, interrupting vital monitoring, or causing medication errors. When patient safety is compromised, clinicians also face serious consequences, including potential liability and threats to their professional licenses. In a healthcare system already stretched thin by staffing shortages, these delays are costly and dangerous.

Visibility That Matches the Moment

Healthcare IT leaders are responsible for more than just keeping systems online. They’re leading digital transformation, enabling AI-powered diagnostics, and supporting 24/7 hybrid care delivery.

To do that, they need more than status checks and isolated alerts. They need a unified view that connects infrastructure, applications, and clinical workflows in real time. This means correlating data across networks, cloud services, EHR systems like Epic, and end-user devices, so IT teams can understand how performance issues ripple through complex clinical environments and impact patient care.

Consider an Epic latency issue during morning rounds. Without hybrid observability, IT might see alerts about server load or memory spikes but miss how those translate into delayed physician logins or documentation bottlenecks. Hybrid observability brings all data into a single pane of glass, integrating on-prem and cloud systems, devices, and applications. Advanced AI analyzes this data continuously, detecting anomalies and pinpointing root causes before they escalate. This lets teams resolve issues like backend database bottlenecks, misfiring APIs, or cloud latency fast, avoiding disruptions that could delay care.

That’s the difference between reacting to noise and preventing clinical interruptions altogether.

From Reactive to Ready

Healthcare isn’t slowing down. Workloads are rising, and tech stacks are expanding. Patients accustomed to digital-first experiences expect seamless care, and regulators are watching closely.

Legacy monitoring wasn’t built for this pace. Hybrid observability is.

Forward-looking IT teams are replacing guesswork with real-time insight. They’re preventing care disruptions, protecting sensitive data, and giving clinicians the confidence to trust their tools.

And they’re proving that IT resilience isn’t just about uptime—it’s about protecting patient safety, accelerating time to treatment, and building clinician trust in the systems they use every day.

Whitepaper

Advancing Patient Care with Resilient IT: A Healthcare Leader’s Guide

Healthcare IT leaders are under more pressure than ever. Systems are more complex, and patients expect consistent, connected experiences—whether at the bedside, in the clinic, or using telehealth from home. Every minute of downtime risks not only operational disruption but also patient trust and safety.

That’s why our experts created Advancing Patient Care with Resilient IT: A Healthcare Leader’s Guide, a practical resource for CIOs, CTOs, and IT teams who are tired of reactive firefighting and who want a clearer path to proactive operations that fully support care delivery.

In this guide, you’ll learn how leading healthcare organizations are:

Unifying visibility across cloud, on-prem, EHR systems like Epic, and the connected medical devices clinicians rely on every day
Using AI to reduce alert fatigue so teams can focus on resolving issues before they affect patient care
Strengthening compliance protocols without creating more work for already-stretched teams

You’ll also walk away with:

A clear understanding of why IT resilience is now a direct driver of clinical outcomes
Examples of how top health systems are cutting downtime and ensuring uptime
Steps you can take to evolve your monitoring strategy and protect patient care

Get the guide and see how a more unified, intelligent approach to IT can support better care for patients, stronger operations behind the scenes and at the bedside, and peace of mind for everyone.

Solution brief

Hybrid Observability powered by AI in Healthcare

Delivering exceptional patient care should be nonnegotiable—and it all starts with reliable technology.

A moment of downtime in EMR or EHR systems can mean delayed surgeries, extended hospital stays, or even compromised patient safety. LogicMonitor is here to make sure those IT outages don’t happen.

By partnering with LogicMonitor, healthcare organizations can:

• Prioritize patient care and safety
• Ensure regulatory compliance
• Prevent costly outages
• Streamline operations with real-time, actionable insights

Solution brief

Health & Life Sciences: IT Trends, Challenges & Solutions

While the Covid-19 pandemic has placed immense strain and pressure on the healthcare industry, it has also driven exciting new developments in the way we embrace technology and innovation to advance patient treatment.

In this solution brief we explore:

• Trends in health & life sciences technology
• Common challenges faced by healthcare organizations
• How a modern monitoring solution can help

Brief

Advance Patient Care with IT

SaaS-based Unified Monitoring for GlaxoSmithKline

LogicMonitor is the only SaaS-based monitoring platform that can provide comprehensive visibility into your entire hybrid infrastructure and power your mission to develop innovative therapeutics that help restore health or save lives.

Brief

Advance Patient Care with IT

SaaS-based Unified Monitoring for Pharmaceutical & Life Sciences

The dependence of pharma companies on IT performance is clearer today than ever before. Requirements for greater
speed in this complex, competitive industry are causing a shift toward new, more advanced technologies, and infrastructure must evolve rapidly to keep up. LogicMonitor is the only SaaS-based monitoring platform that can provide comprehensive visibility into your entire hybrid infrastructure and power your mission to develop products and therapies that improve the lives of patients around the world.

Brief

Advance Patient Care with IT

The dependence of pharma companies on IT performance is clearer today than ever before. Requirements for greater speed in this complex, competitive industry are causing a shift toward new, more advanced technologies, and infrastructure must evolve rapidly to keep up. LogicMonitor is the only SaaS-based monitoring platform that can provide comprehensive visibility into your entire hybrid infrastructure and power your mission to develop products and therapies that improve the lives of patients around the world.