As healthcare systems navigate the transition to precision genomics, many are seeking partners who can help operationalize this shift at scale. Natera’s health system team works alongside health system leaders and providers to integrate advanced diagnostics into clinical workflows, improve operational efficiency, and enable data-driven insights — helping organizations move from vision to execution in delivering more personalized care.
Healthcare is undergoing a fundamental transformation from reactive, one-size-fits-all approaches to proactive, individualized care. At the center of this evolution is the ability to seamlessly integrate advanced diagnostics, longitudinal data, and clinical workflows. Health systems that successfully bring these elements together are not only improving patient outcomes but also reducing inefficiencies across care delivery.
One of the most persistent barriers to scaling precision genomics is workflow fragmentation—particularly around diagnostic testing. Across specialties such as oncology, women’s health, and organ transplantation, clinicians often rely on disconnected systems for ordering tests, retrieving results, and coordinating follow-up care. These fragmented processes increase administrative burden and introduce delays at critical decision points.
Electronic Health Record (EHR) native integration directly addresses this challenge by embedding diagnostic workflows into the clinical environment. With integrated platforms, clinicians can order tests within their existing workflows, access structured and discrete results, and follow standardized care pathways without switching systems. This “in-workflow” approach reduces friction, minimizes manual steps, and improves turnaround times for both ordering and reporting. At scale, these integrations have already been implemented across hundreds of health systems and thousands of clinics, demonstrating meaningful gains in efficiency and consistency of care.
Beyond efficiency, EHR integration is a foundational enabler of precision genomics. Clinical decision support tools aid clinicians in identifying patients who may benefit from appropriate testing based on clinical context. For example, patients can be identified for further clinical evaluation, including genetic screening; transplant recipients can be monitored for rejection risk; and pregnant patients can be guided toward appropriate prenatal testing. These capabilities allow health systems to move from reactive care to proactive, data-driven intervention.
Standardized workflows and care pathway automation further reinforce this shift. By making evidence-based pathways accessible within the EHR to support clinical decision-making, health systems can reduce variability in care while improving adherence to best practices. Automated triggers can prompt testing and follow-up at key clinical milestones, ensuring that critical steps are not missed. This not only enhances clinical quality but also reduces the cognitive and administrative burden on care teams.
Equally important is the role of data infrastructure in realizing the full potential of precision genomics. Modern healthcare generates vast amounts of multimodal data—including genomic, clinical, imaging, and outcomes data. When these data are integrated into a unified platform, they enable a deeper understanding of disease, treatment response, and patient outcomes.
Real world databases and data commons are emerging as key enablers in this space. By linking EHR data with molecular and pathology data in secure, de-identified environments — with appropriate governance and institutional control over data use — health systems can support advanced analytics, real-world evidence generation, and research at scale. These platforms allow clinicians and researchers to evaluate treatment effectiveness, identify care gaps, and accelerate clinical trial enrollment. They also create a continuous feedback loop in which clinical and outcomes data inform the refinement of diagnostic tools and care pathways.
Longitudinal data is particularly critical in precision genomics. Tracking patients over time—across diagnostics, treatments, and outcomes—enables more personalized and adaptive care. For instance, monitoring biomarkers or genomic signals can provide early insights into disease progression or treatment response, allowing clinicians to adjust care plans in real time. When these insights are integrated into the EHR, they become actionable at the point of care, supporting more informed clinical decisions.
Strategic partnerships are essential to scaling these capabilities. Health systems may benefit from effective approaches to workflow design, clinical pathway development, and implementation of evidence-based practices. These partnerships help ensure that precision genomics initiatives are both scalable and sustainable.
Natera’s health system team is committed to being that partner—working collaboratively with organizations to integrate precision genomic tests into clinical workflows, support data-driven insights, and enable research and innovation in partnership with health systems. By connecting diagnostics, data, and care delivery, Natera helps health systems turn the promise of precision genomics into measurable impact for patients. Please visit www.natera.com to learn more about Natera’s tests and services.
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