Mapping the conceptual landscape of Nursing Omics: a theoretical analysis of a multi-omics-inspired framework for nursing informatics (Preprint)

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Authors: Shuangdui Ji, Shuping Guo, Donglian ZHENG, Shilin Ma, Fuzhen MA, Changqi YIN
Cited by: 0
References: 36

Abstract

BACKGROUND The nursing field is facing unprecedented challenges driven by an explosion of heterogeneous data, persistent data silos, and increasing complexity in clinical decision-making. These issues underscore the urgent need for a systematic, integrative framework to organize and leverage nursing information effectively. OBJECTIVE This paper aims to conceptualize “Nursing Omics” a novel, multi-omics inspired integrative framework for future-oriented nursing informatics. METHODS Using a theoretical development approach, we draw on paradigms from genomics, proteomics, and other omics disciplines, integrating core principles from nursing informatics, systems science, and data science to construct a coherent conceptual architecture. RESULTS We propose a formal definition of Nursing-Omics and introduce a multidimensional integrative framework comprising the Intervenomics, Responsomics, Behaviomics, Exposomics, Experienomics. The framework is grounded in four foundational principles: holism, dynamism, data-driven insight, and individualization. CONCLUSIONS Nursing-Omics offers a transformative paradigm for the systematic integration of nursing data, enabling precision decision-making, accelerating knowledge generation, and advancing intelligent, person-centered care. It represents a critical direction for the evolution of nursing informatics in the era of digital health. CLINICALTRIAL NO

Fields of Study & Subjects

Nursing Diagnosis and Documentation Electronic Health Records Systems Knowledge Management and Technology

Publication details

Publication date
6 January 2026
Document type
Preprint