A Framework for Healthcare from the Eye: Oculomics as a Powerful Window to Systemic Health

To present a comprehensive framework for integrating oculomics to assess ocular and systemic health into coordinated health care delivery models.

Conceptual framework based on current scientific evidence, existing clinical implementations, and expert consensus across ophthalmology, primary care, technology, and population health.

This work synthesizes published evidence and operational experience across diverse care settings.

A narrative synthesis was used to evaluate scientific advances in ocular imaging and visual function testing, multimodal data integration, artificial intelligence (AI), and care-coordination technologies. Implementation insights were incorporated from early deployments of oculomics-enabled programs across clinical and community settings. Four foundation principles were derived to guide ethical, scalable integration of oculomics into care pathways.

Key domains necessary for adopting Healthcare from the Eye, including: (1) access to affordable health care, (2) responsible data governance and AI development, (3) patient-care coordination through integrated workflows, and (4) sustainable economic and operational models.

Oculomics can support early disease identification, risk stratification, triage, treatment monitoring, and longitudinal care when combined with electronic health records, genetic information, and social determinants of health. Integrating these outputs into clinical workflows enables proactive management of chronic ocular and systemic disease. Early implementations demonstrate improved diagnostic yield, enhanced care coordination, and potential health-system efficiencies. Responsible deployment requires ethical data use, transparent AI, and attention to interoperability, equity, and clinician adoption.

Healthcare from the Eye provides a structured approach for embedding oculomics into routine clinical care. It can shift health systems from reactive, episodic management toward proactive, continuous, and personalized care. With appropriate guardrails, this framework can improve earlier detection, streamline care pathways, and support population-health efforts across varied clinical environments.

Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.