SRE for Healthcare: MTTR Optimization in Cigna’s Claims Systems

Authors

  • Sai Raghavendra Varanasi Research Scholar

DOI:

https://doi.org/10.22399/ijcesen.3645

Keywords:

SRE, MTTR, healthcare infrastructure, claims processing, observability, incident response

Abstract

In the healthcare industry, time is more than money  it can be the difference between accurate care delivery and administrative chaos. As systems scale to serve millions of claims daily, the reliability of infrastructure that underpins insurance processing becomes mission-critical. This paper focuses on how Site Reliability Engineering (SRE) principles were applied to optimize Mean Time to Recovery (MTTR) in Cigna’s claims processing systems. We walk through a robust strategy combining observability, incident automation, chaos engineering, and smart escalation policies that led to significant reductions in service downtime and faster recovery from production incidents improving both operational efficiency and regulatory compliance in a heavily governed domain.

References

[1] John, L. K. (2024). Optimizing Site Reliability Engineering with Cloud Infrastructure. ResearchGate. https://www.researchgate.net/publication/391227578_Optimizing_Site_Reliability_Engineering_with_Cloud_Infrastructure DOI: https://doi.org/10.22399/ijcesen.1983

[2] Mahfoud, H., El Barkany, A., & El Biyaali, A. (2018). Dependability-based maintenance optimization in healthcare domain. Journal of Quality in Maintenance Engineering, 24(3), 00–00. https://doi.org/10.1108/JQME-07-2016-0029 DOI: https://doi.org/10.1108/JQME-07-2016-0029

[3] Nanda, M. S. (2025). Scaling site reliability engineering: A data-driven approach to modern system reliability. International Journal of Advanced Research in Engineering & Technology, 16(1), 294–308. https://doi.org/10.34218/IJARET_16_01_022 DOI: https://doi.org/10.34218/IJARET_16_01_022

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Published

2025-08-08

How to Cite

Sai Raghavendra Varanasi. (2025). SRE for Healthcare: MTTR Optimization in Cigna’s Claims Systems. International Journal of Computational and Experimental Science and Engineering, 11(3). https://doi.org/10.22399/ijcesen.3645

Issue

Section

Research Article