Advancing Quality Management in using Scalable Transaction Validation

Authors

  • Phanindra Sai Boyapati
  • Godavarthi Kranthi
  • Ashik Kumar

DOI:

https://doi.org/10.47941/ijce.2625

Keywords:

Data, Healthcare, Security, Healthcare regulations, Compliance.

Abstract

The migration of healthcare data represents a foundational step in the ongoing transformation and modernization of healthcare systems worldwide. As institutions increasingly digitize records and integrate advanced technologies into their operations, the ability to efficiently and accurately migrate data becomes crucial. This process, however, is fraught with challenges tied to maintaining the accuracy, consistency, and security of data—a concern that is heightened by the sensitive nature of healthcare information and the intricate nature of existing health IT infrastructures. Given these complexities, this white paper delves into the pivotal role of quality management within the realm of healthcare data migration. At the heart of this investigation is the implementation of scalable transaction validation techniques, which serve as a safeguard for ensuring data fidelity throughout the migration process. The paper highlights cutting-edge technologies—such as artificial intelligence (AI), blockchain, and cloud-based solutions—that empower scalable transaction validation, facilitating real-time error detection and correction. These technologies collectively enhance data integrity, minimize the risk of data loss or corruption, and ensure compliance with rigorous healthcare regulations. Through a comprehensive examination of case studies and industry best practices, this paper provides a strategic roadmap for healthcare organizations aiming to refine and optimize their data migration processes. By adopting robust quality management strategies that incorporate scalable transaction validation, healthcare providers can achieve seamless data transitions, uphold the confidentiality and security of patient information, and ultimately improve the quality and efficiency of healthcare delivery.The insights and guidance offered in this paper equip healthcare professionals and IT specialists with the tools necessary to navigate the complexities of data migration. By fostering a culture of quality and leveraging scalable transaction validation, healthcare organizations can not only address current data migration challenges but also position themselves for future advancements in healthcare technology.

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Author Biographies

Phanindra Sai Boyapati

Health Care Data Specialist and SME

Godavarthi Kranthi

Data Architect and Health Care Data Specialist

Ashik Kumar

Senior Research Analyst

References

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Boyapati, Phanindra Sai., & Godavarthi, Kranthi. (2025). Harnessing AI to Elevate Healthcare Quality Ratings: Transforming Provider Performance and Patient Outcomes. International Journal of Computing and Engineering, 7(1), 30–45. Retrieved from https://doi.org/10.47941/ijce.2526

Kranthi Godavarthi, Phanindra Sai Boyapati, Trends in Health Care Insurance: Latest Developments, Challenges, and Opportunities, International Journal of Science and Research (IJSR), Volume 14 Issue 2, February 2025, pp. 666-668, https://www.ijsr.net/getabstract.php?paperid=SR25211081851, Retrieved from DOI: https://www.doi.org/10.21275/SR25211081851

Phanindra Sai Boyapati, "Using Group Health Information to Improve Patient Care and Efficiency", International Journal of Science and Research (IJSR), Volume 14 Issue 2, February 2025, pp. 1448-1452, https://www.ijsr.net/getabstract.php?paperid=SR25222211654, DOI: https://www.doi.org/10.21275/SR25222211654

Phanindra Sai Boyapati, Sudhakar Allam, "Data-Driven QA Approaches to Minimize Fraud in Healthcare Claim Processing", International Journal of Science and Research (IJSR), Volume 14 Issue 2, February 2025, pp. 1771-1774, https://www.ijsr.net/getabstract.php?paperid=SR25226032015, DOI: https://www.doi.org/10.21275/SR25226032015

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Published

2025-04-03

How to Cite

Boyapati, P. S., Kranthi, G., & Kumar, A. (2025). Advancing Quality Management in using Scalable Transaction Validation. International Journal of Computing and Engineering, 7(2), 21–38. https://doi.org/10.47941/ijce.2625

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Section

Articles