Pain Points in Healthcare IT Workflows
Healthcare organizations are overwhelmed with many scanning tools and configurations, Lobig says. Some processes are poorly defined, and silos hinder observability efforts.
“Many organizations often have multiple, disconnected monitoring and security tools that only provide a partial view of their environment,” Andriola says. “This increases silos and operational complexity and slows down issue resolution.”
Andriola notes the dangers of downtime in healthcare: “In clinical settings, every second counts, and downtime isn’t just disruptive, it’s potentially dangerous. Whether in the ER, operating room or supporting personalized care, healthcare systems must operate in a real-time, always-on model.”
Observability can simplify complexity in organizations with interconnected digital services, Andriola says.
How Observability Provides Visibility To Overcome Blind Spots
Observability tools provide an application topology to help organizations understand the interconnectivity of systems and network endpoints and map information flow. With the data that observability tools provide, organizations can quarantine vulnerabilities, Lobig suggests.
“In particular, the ability to understand information flows, service flows and quarantine applications and/or end points based on those vulnerability vectors is something observability tools can do,” he explains.
To alleviate the “blind spots” of traditional monitoring applications, observability tools provide a “single source of truth” and end-to-end visibility. They tighten governance across cloud, edge and hybrid environments, as well as integrate data platforms and large language model (LLM) workloads, Andriola says.
“More advanced observability platforms unify data pipelines, security telemetry and business analytics into a single stream, enabling consistent, trustworthy insights at scale,” he explains. “These tools help teams understand how data flows across silos and through analytical layers, building confidence in both operational and strategic decision-making.”
FIND OUT: What are the top five healthcare challenges solved by observability tools?
Observability tools address silos by centralizing and streamlining data collection and analysis. These tools also correlate insights for organizations such as health systems. In healthcare, observability can minimize disruptions to critical systems for clinicians and improve the organization’s security posture, Andriola says.
Gaps in patient care can be life threatening, but full-stack observability can reduce disruptions for clinicians and IT staffers. Event consoles in observability tools allow organizations to maintain visibility and response while consolidating data from multiple systems.
“But visibility alone isn’t enough,” Andriola stresses. “In today’s environment, where operational volume and velocity are outpacing traditional IT models, only observability platforms that offer built-in intelligence and automation can scale with demand.”
Full-stack visibility makes IT staff more effective, he says: “By giving them real-time, full-stack visibility and clear context around performance or security issues, observability helps teams proactively optimize systems, resolve issues faster and focus their expertise where it matters most.”
