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The Capability of Observing Performance in Healthcare Systems

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Computational Intelligence for Clinical Diagnosis

Abstract

Healthcare systems are complex applications with multiple interconnected components and an architectural hierarchy with high levels of data sensitivity. With the evolution of technology in the last decade, it has become increasingly difficult to trace performance metrics to analyze application issues. Traditional monitoring no longer provides a holistic view and often results in longer issue diagnostic times, causing effort and revenue impact for the companies. In this article, performance observability, especially for healthcare systems, is presented. The article starts by elaborating how the healthcare system is different from any other non-healthcare systems and further deep-diving into performance observability and monitoring concepts, along with describing the best setup for performance observability for healthcare systems and current observability tool providers.

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References

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Correspondence to Vivek Basavegowda Ramu .

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Basavegowda Ramu, V., Yeruva, A.R. (2023). The Capability of Observing Performance in Healthcare Systems. In: Joseph, F.J.J., Balas, V.E., Rajest, S.S., Regin, R. (eds) Computational Intelligence for Clinical Diagnosis. EAI/Springer Innovations in Communication and Computing. Springer, Cham. https://doi.org/10.1007/978-3-031-23683-9_39

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  • DOI: https://doi.org/10.1007/978-3-031-23683-9_39

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-23682-2

  • Online ISBN: 978-3-031-23683-9

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