Integrated Information Management Systems (LIMS) in Banking:

Title

Integrated Information Management Systems (LIMS) in Banking:

Author

1. Niranjana Raghunathan, Other, GSK, United States

Abstract

U.S. banking institutions operate at the intersection of high-volume financial transactions, stringent regulatory oversight, and increasing public-sector dependency for benefit disbursement and compliance enforcement. While Laboratory Information Management Systems (LIMS) originate in scientific domains, their core architectural principles centralized data governance, workflow automation, and auditability are increasingly applicable to banking technology through analogous integrated information management platforms. This paper examines the role of LIMS-inspired systems in U.S. banking, with particular emphasis on interoperability with public-sector entities including the Social Security Administration (SSA), Department of the Treasury, and Internal Revenue Service (IRS). Drawing on regulatory reports and empirical statistics, we hypothesize that such systems measurably reduce compliance costs, improper payments, and operational risk, thereby strengthening financial system resilience. The findings position integrated information management as critical national banking infrastructure.

Keywords

Conclusion

LIMS-inspired integrated information management systems represent a critical evolution in banking technology. By enabling secure, auditable interoperability with public-sector institutions, these platforms reduce fraud, improve regulatory efficiency, and strengthen U.S. financial system resilience. As banking continues to serve as execution infrastructure for national policy, such systems should be considered foundational components of modern financial architecture.

Author Contrubution

Padmanaban Vartharajan & Niranjana Raghunathan conceived the study, de-veloped the architectural framework and quantitative methodology, performed the literature analysis and systems synthesis, and wrote the manuscript.

Funding

This research received no external funding.

Conflict of Interest

The authors declare that there are no conflicts of interest associated with this study.

Data Sharing Statement

No clinical trials or human subject studies were conducted as part of this work. The study is based on publicly available literature and de-identified, aggregated industrial reference data that cannot be shared due to confidentiality and contractual restrictions. All conceptual frameworks, metric definitions, and methodological descriptions necessary to reproduce the analytical approach are provided within the article.

Software And Tools Use

Acknowledgements

The author acknowledges the many colleagues, engineers, scientists, and quality professionals across pharmaceutical R&D, manufacturing, and laboratory operations whose work over many years informed the practical perspectives presented in this study. The views expressed are those of the author and do not necessarily reflect those of any current or former employers or collaborators. Micheal Piecuch, Sruti Parikh, Rami Sabbah for editing