Cancer Screening & Oncology Navigation

Find risk earlier. Close the referral loop.

A physician-supervised screening and navigation workflow that helps practices identify patients who need screening or diagnostic evaluation, coordinate referral, and stay connected after oncology care begins.

Designed around common cancer-screening priorities

Population-based screening programs commonly prioritize oral, breast and cervical cancer. Nivara converts screening and follow-up needs into a practical practice workflow.

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Oral Cancer

Capture tobacco/areca-nut exposure, symptoms, prior lesions and screening status; route abnormal findings for clinician evaluation.

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Breast Cancer

Track screening eligibility, symptoms, clinical assessment, imaging referral and result follow-up under physician guidance.

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Cervical Cancer

Track prior screening, due status, clinician-directed screening, abnormal results and gynecology/oncology referral.

Screening-to-care workflow

AI supports intake, reminders and record organization; it does not independently diagnose cancer.

1

Identify

Age, risk factors, symptoms and prior screening history.

2

Review

Practice clinician reviews eligibility, symptoms and red flags.

3

Screen

Order or document appropriate screening / evaluation.

4

Refer

Abnormal or suspicious findings generate a structured oncology referral packet.

5

Navigate

Track appointment, diagnostics, treatment plan and follow-up back to the practice.

Cancer Care Partner

Sujan Surgical & Cancer Hospital

The partner pathway connects appropriate patients to a cancer-specialty hospital for screening, diagnostic evaluation and oncology care while preserving closed-loop communication with the originating practice.

  • Structured referral summary and uploaded records
  • Patient scheduling/navigation workflow
  • Diagnostic and pathology result tracking
  • Oncology consultation and treatment-plan status
  • Primary-practice follow-up after specialist care
Visit Sujan Cancer Hospital
Cancer Navigation QueuePartner Connected
Screening dueBreast screeningOutreach
Abnormal findingOral lesionClinician review
Referral sentSujan Cancer HospitalScheduled
Result receivedPathologyReview

Patient experience

  • Language-specific screening education
  • Private risk and symptom questionnaire
  • Reminders for due screening and appointments
  • Upload pathology, imaging and prior records
  • Ask record-aware questions within safe AI boundaries

Practice / hospital experience

  • Population list of screening-due patients
  • Abnormal finding and diagnostic-workup queues
  • Referral packet with structured history
  • Closed-loop result and treatment status
  • Outcome and follow-up reporting
Clinical boundary: Screening recommendations, diagnostic evaluation and treatment decisions are made by qualified clinicians. AI is used for structured intake, risk flagging, navigation, reminders and information organization. Cancer screening does not equal cancer diagnosis.