Eliminate silos in healthcare organisations’ tech stacks with hybrid observability

Organisations across the healthcare industry operate in a mix of traditional and modern IT environments. With hybrid infrastructure models, healthcare IT professionals require an enhanced view that delivers a full picture of the performance, availability and usage of IT services to ensure vital applications operate seamlessly.

The solution: artificial intelligence (AI) powered hybrid observability technology. This technology has become paramount in combating industry challenges and eliminating silos within healthcare organisations’ tech stacks. Understanding how visibility can help IT teams overcome these challenges will help reduce costs and improve the patient care experience.

A deeper look  

For the healthcare industry, observability technology aids IT teams and healthcare professionals in the early detection of issues. By providing contextual and actionable data insights, this technology helps IT healthcare providers make informed decisions and reduce the risk of medical errors. With real-time insights to the performance and functionality of the entire organisation’s tech stacks, ultimately, healthcare teams can enhance patient care and safety.

Overcoming industry challenges  

As society continues to experience a rapidly evolving landscape post-COVID, healthcare organisations face a myriad of challenges.

One of the most pressing issues is managing the massive influx of data from hybrid infrastructure models. With multiple tools in place to manage the data, almost half of IT leaders have only negative things to say about their company’s current hybrid monitoring approach.

The need for accurate demand forecasting presents another challenge for the healthcare industry. The ability to predict resource requirements and staffing levels to ensure patient care is paramount during medical surges.   

While many of the industry’s technological innovations have focused on patient-ready solutions, now there’s also a growing need to streamline administrative tasks for clinicians. By optimising user experiences within healthcare systems, doctors can allocate more time to patient support, ultimately increasing job satisfaction and improving overall healthcare delivery.

With the adoption of AI-powered hybrid observability solutions, all three of these challenges can be resolved. Hybrid observability enables real-time data analysis and sharing, while providing the contextual insights to aid in diagnosis, treatment, and healthcare decision-making.

Eliminating silos 

Eliminating silos within healthcare organisations is an endeavour that can significantly enhance patient services, operational efficiency, and overall organisational effectiveness. As silos often lead to fragmented patient experiences and can result in medical errors or delays in treatment, removing silos within an organisation and striving for seamless collaboration between medical professionals and their IT teams is essential.

Breaking down silos using observability technology enables better source allocation as departments can share insights to optimise workflows and reduce time. This technology can also improve the accessibility of critical patient information, leading to faster and more informed decision-making.

Using big data and AI, observability solutions provide transparency and contextual insights into system performance and data analysis, enhancing collaboration and decision-making across various healthcare departments. Observability aids in optimising resource allocation, streamlining workflows, and ultimately improving patient care.

As the healthcare sector continues to evolve, leverage technology including observability platforms will be critical to ensuring a more cohesive and efficient healthcare system.

Richard Gerdis

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Richard Gerdis leads the LogicMonitor business across the Asia Pacific and Japan (APJ) region. Leading a team to drive revenue in a dynamic and growing market.

• Utilising IT observability to foster patient well-being and trust
• Improving patient outcomes with hybrid IT infrastructure observability