Agentic AI Platform Supports Genomic Decision-Making in Oncology

Translating multimodal data into patient-specific, point-of-care guidance remains difficult within routine clinical workflows. To address this gap, a newly upgraded physician platform now embeds next-generation agentic artificial intelligence (AI) to proactively surface genomic insights and generate patient-ready documentation, aiming to streamline decision support in oncology care.

Tempus AI (Chicago, IL, USA) has upgraded its AI-enabled smart physician platform, Tempus Hub, by embedding a next-generation generative AI clinical co-pilot that delivers an agent-first experience for healthcare providers. The upgrade connects the company’s advanced agentic AI directly with real-time patient data within Hub, aligning large language model capabilities with each patient’s diagnostic results to support cancer care decisions. Hub is a secure platform used by thousands of oncologists and care teams to deliver actionable insights at the point of care.

Within Hub, clinicians can access Tempus test orders and results, including guideline-matched therapies, treatment resistance insights, clinical trial opportunities, and longitudinal biomarker tracking for every patient. The new architecture adds proactive, agentic AI that can automatically produce patient overviews and apply deeper analysis to a patient’s Tempus genomic results on the summary page. It also expands into next-step documentation generation, enabling instant creation of patient-specific materials such as prior authorizations and patient messages by pulling directly from Tempus data.

These capabilities are supported by foundational connectivity layers: Edge, which enables real-time connections to electronic health record (EHR) systems and other provider platforms; Locker, which allows providers to store data in a secure, provider‑controlled environment; and Air, which deploys AI models and algorithms in real time at the point of care. Planned iterations include linking Tempus genomics results with the company’s longitudinal patient registry or health information exchange (HIE) data to enable more complex generative AI workflows. Together, these additions are intended to scale how providers utilize, interpret, and act on complex diagnostic insights during routine encounters.

“Our evolution toward an agent-first experience within the Tempus Hub represents a massive win for clinical workflow efficiency,” said Shane Colley, Chief Technology Officer at Tempus. “By bringing our most sophisticated co-pilot intelligence directly into the Hub, we are unlocking the true power of multimodal data to provide seamless, on-demand decision support that meets providers exactly where they are."

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