Enhancing IT and Security Procedures in Healthcare with the Help of Observability
In the digital-operations world, investing in unified observability is a strategic commitment to resilience, performance, and business alignment. According to the "State of Observability 2024" report by OpsRamp, a Hewlett Packard Enterprise company, only 23% of enterprises have implemented full-stack observability and deployed it across 90% of their company.
This article explores how full-stack observability can improve IT system performance and support patient care in healthcare.
Improving Clinical Workflows and Security
Full-stack observability can reduce disruptions for clinicians and improve the organization's security posture in healthcare. By monitoring every transaction, API call, and trace, observability tools help teams understand how data flows across silos and through analytical layers, building confidence in decision-making.
In healthcare settings, where downtime can be life-threatening, observability tools provide a full-stack view of system health and security events. This real-time, always-on model is crucial for sensitive environments like emergency rooms and personalized care.
Reducing Manual Work and Enhancing Productivity
Advanced observability platforms, such as those that integrate AI in IT operations, help close the skills gap by reducing manual workloads and surfacing actionable insights in real time. This allows IT and clinical teams to focus on higher-value tasks rather than firefighting, leading to improved productivity and lower operational costs.
Ensuring Efficient and Reliable Healthcare IT Systems
By enabling monitoring not only of isolated system metrics but also of critical user workflows and experiences, observability ensures that the healthcare IT systems supporting patient interactions are efficient and reliable. This is essential for timely and effective care delivery.
In healthcare organizations, where many scanning tools and configurations can lead to silos that hinder observability efforts, unified observability pipelines consolidate data from across an organization's entire digital environment into a single, consistent stream, breaking down these silos between IT, security, and business operations.
The Future of Observability
Going forward, observability must also address explainability and performance as organizations adopt large language models (LLMs) and AI agents. AI agents will allow organizations to further develop their observability strategies as observability tools evolve.
In conclusion, full-stack observability is a powerful tool for improving IT system performance and supporting patient care in healthcare. By providing comprehensive, real-time visibility into the entire IT infrastructure, observability tools can help healthcare organizations maintain compliance, enhance productivity, and ensure the efficiency and reliability of their IT systems.
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- In the healthcare sector, where observability tools provide a full-stack view of system health and security events, technology like data-and-cloud-computing can further aid in managing these tools and enhancing their benefits, especially when integrated with AI in IT operations.
- As organizations move towards adopting large language models (LLMs) and AI agents, technology such as data-and-cloud-computing and observability must team up to not only preserve real-time visibility into the entire IT infrastructure, but also to address explainability and performance challenges arising from these new implementations.
