V1I9P15

Health Informatics Systems for Biomedical and Biotechnological Data: An Interdisciplinary Framework Integrating Scientific Integrity and Information Security

Desire Emeka^1*  Abdulahi Taiwo²

Abstract

The rapid expansion of biomedical and biotechnological data ecosystems has intensified the need for robust health informatics systems that ensure both scientific integrity and information security. Traditionally, research integrity frameworks and cybersecurity architectures have evolved independently, resulting in fragmented governance and structural vulnerabilities within large scale biomedical infrastructures. This paper proposes an interdisciplinary framework that integrates governance oversight, lifecycle based data integrity controls, security architecture, and reproducibility mechanisms into a unified health informatics model. Drawing upon established standards including FAIR data principles, ALCOA+ documentation guidelines, NIST security controls, HIPAA, and GDPR regulations, the framework conceptualizes integrity and security as interdependent system properties rather than parallel compliance obligations. A genomic precision medicine platform is presented as a case study to demonstrate practical implementation of cryptographic verification, immutable audit trails, containerized analytic workflows, and zero trust security architectures. The findings illustrate that embedding scientific traceability within technical infrastructure enhances both reproducibility and cyber resilience. By reframing integrity as an engineered characteristic of biomedical information systems, this work advances a structural approach to sustaining public trust, regulatory compliance, and epistemic reliability in data driven healthcare environments.

Keywords:

Health informatics systems,  biomedical data governance, scientific integrity, information security,  data lifecycle management