Development of FHIR-Compliant Clinical Data Pipelines for Integrating Multi-Omics Cancer Profiles in HER Systems

Abstract

The integration of multi-omicsdataencompassing genomics, proteomics, transcriptomics, and metabolomics into clinical workflows holds immense potential for enhancing precision oncology. However, the lack of standardized frameworks for incorporating this complex data into Electronic Health Record (HER) systems presents a critical barrier to its routine clinical use. This study explores the development of FHIR-compliant clinical data pipelines designed to seamlessly integrate multiomics cancer profiles into existing HER infrastructures. By aligning with the Fast Healthcare Interoperability Resources (FHIR) standard, the proposed framework aims to ensure interoperability, scalability, and secure data exchange across healthcare systems. The approach supports personalized treatment strategies by enabling clinicians to access actionable omics insights within familiar clinical interfaces. Furthermore, it addresses data harmonization challenges and enhances decision support capabilities, fostering more precise diagnostic, prognostic, and therapeutic interventions in oncology. This paper highlights the transformative potential of structured, standards-based multi-omics integration in advancing precision medicine. It underscores the importance of collaboration between clinical informatics, bioinformatics, and healthcare IT to facilitate effective, patient-centric cancer care through interoperable health data ecosystems.