Enhancing compliance and data integrity in life sciences and healthcare with S/4HANA: A data management and governance framework

Sajja, John Wesly and Komarina, Govindaraja Babu (2025) Enhancing compliance and data integrity in life sciences and healthcare with S/4HANA: A data management and governance framework. World Journal of Advanced Engineering Technology and Sciences, 15 (2). pp. 2816-2827. ISSN 2582-8266

[thumbnail of WJAETS-2025-0843.pdf] Article PDF
WJAETS-2025-0843.pdf - Published Version
Available under License Creative Commons Attribution Non-commercial Share Alike.

Download ( 652kB)

Abstract

SAP S/4HANA presents a transformative solution for life sciences and healthcare organizations facing increasing regulatory scrutiny and data integrity challenges. This next-generation ERP system integrates in-memory computing, artificial intelligence, machine learning, and blockchain technologies to address critical compliance requirements from regulatory bodies such as FDA, HIPAA, GDPR, and EMA. The platform enhances data governance through advanced master data management, role-based access controls, comprehensive audit trails, and predictive analytics capabilities. Implementation case studies reveal consistent success factors including phased deployment approaches, cross-functional governance, risk-based validation, and specialized training programs that emphasize both technical and compliance considerations. S/4HANA enables pharmaceutical manufacturers and healthcare providers to establish continuous compliance monitoring, enhance supply chain traceability, improve patient data security, and accelerate regulatory reporting. As emerging technologies like quantum computing, edge processing, and federated blockchain networks continue to evolve, organizations can leverage S/4HANA as both a compliance platform and innovation enabler, balancing regulatory requirements with operational efficiency in an increasingly complex healthcare ecosystem. Furthermore, the integration of AI/ML capabilities within S/4HANA can provide predictive insights that streamline regulatory submissions and detect anomalies proactively.

Item Type: Article
Official URL: https://doi.org/10.30574/wjaets.2025.15.2.0843
Uncontrolled Keywords: Data Integrity; Regulatory Compliance; Pharmaceutical Supply Chain; Healthcare Analytics; Blockchain Security
Depositing User: Editor Engineering Section
Date Deposited: 16 Aug 2025 12:39
Related URLs:
URI: https://eprint.scholarsrepository.com/id/eprint/4223