Viz Oncology
A unified solution designed to help teams make timely decisions, follow evidence-based guidelines, and coordinate care across the oncology workflow.
Currently being piloted in early clinical partnerships, the Viz Oncology Suite is designed to bring automation into oncology workflows and support more consistent, coordinated care across cancer types including Breast, Prostate, Bladder, and non-small cell lung cancer (NSCLC).
Automated Chart Summaries
Designed to help clinicians spend less time searching through charts and more time focused on patients.
Patient data, including information typically buried in PDFs, is gathered through secure EHR integration and summarized into clear, oncology-specific insights that aim to give clinicians a more complete view of the patient before entering the room.
Key Features:
- Quick, structured summaries from notes, reports, and PDFs, including medical and treatment history, pathology, imaging, genomics, and more
- Chronological insights intended to clarify disease progression and treatment response
Personalized, Context-Aware Guideline Support (NCCN®-Aligned)
Get guideline-aligned insights without leaving your workflow.
Viz compares patient EHR data with NCCN® Guideline recommendations and provides guidance tailored to each clinical scenario—considering stage, biomarkers, imaging results, treatment history, and other relevant details.
Designed to:
- Help clinicians interpret complex treatment pathways more quickly with patient-specific context
- Indicate when restaging may be appropriate
- Support uniform decision-making across providers
- Keep teams aligned with the latest guidelines directly within the workflow
- Strengthen clinician preparation for patient visits and tumor board discussions
Missing Data Flags
Identify what’s missing from a patient’s workup
Viz highlights gaps in a patient’s workup such as missing genomic reports, hereditary panels, gene expression panels, and scans, so teams can address issues earlier in the workflow.
Designed to:
- Enable earlier recognition of incomplete staging and testing information
- Help avoid missing windows of opportunity for certain treatments
- Support improved patient navigation and retention
- Reduce delays and reschedules when planning treatment
- Increase consistency across teams and locations
Healthcare's leading AI platform
Integrated across leading institutions and specialties
*In development
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