Clinical trial matching
OncoTrial
Turn trial criteria into a reviewable conversation.
Oncology trial matching with explainable eligibility screening.
THE EVERYDAY CHALLENGE
Turn trial criteria into a reviewable conversation.
Trial discovery can involve comparing a complex patient history with detailed eligibility criteria. A promising match still needs careful review, especially when the record is incomplete or a criterion requires clinical interpretation.
OncoTrial matches oncology patients to clinical trials with explainable eligibility screening. It supports the early review conversation by making potential matches and eligibility questions easier to examine. Study teams must confirm current trial status, complete eligibility, and enrollment suitability.
A PRACTICAL WORKFLOW
From the first review
to the next action.
Illustrative workflow. Your implementation and responsibilities are agreed with QBotix.
- 01
Review the patient information
- 02
Screen potential trial matches
- 03
Examine eligibility explanations
- 04
Confirm with the study team
A starting point for clinician-led trial eligibility review.
BUILT AROUND YOUR TEAM
Who it is for.
Oncology research coordinators, investigators, and clinical trial teams.
Oncology →BEFORE YOU BEGIN
Make the scope concrete.
Discuss your current systems, available information, review process, and intended users. Confirm integrations, access controls, data handling, and acceptance criteria before rollout.
No outcome figures or universal integration claims are implied. The demonstration should establish what fits your environment.
QUESTIONS, ANSWERED
A little more clarity.
Is a trial match a confirmed enrollment decision?
No. Screening identifies candidates for further review. The investigator and study team must verify eligibility, current availability, and consent requirements.
How do we evaluate OncoTrial for our team?
Bring a description of your workflow and its bottlenecks to a QBotix discussion. Use a demonstration to confirm available features, integration requirements, review responsibilities, and deployment scope. Do not send patient information through the website.
CONTINUE EXPLORING
Related workflows.
01OncoAuthPrior authorizationAI-assisted prior authorization tracking for oncology teams.
Oncology / AI Powered Solutions
Keep the next step in cancer care in view.
OncoAuth brings attention to the authorization workflow: what has been requested, what is still pending, and which cases need follow-up. It gives oncology operations teams a focused starting point for reviewing authorization work without treating an AI suggestion as a payer decision.
Explore OncoAuth ↗02OncoTriage AIScreening and triageBreast and lung cancer screening, triage, workup tracking, MDT, and reports.
Oncology / AI Powered Solutions
Keep the workup moving between teams.
OncoTriage AI supports breast and lung cancer screening and triage workflows, including workup tracking, multidisciplinary team coordination, and reports. It is designed around the operational pathway. Clinical interpretation and decisions remain with qualified care teams.
Explore OncoTriage AI ↗03OncoAnalyticsOncology operationsOperational benchmarking and performance-gap analysis for oncology.
Analytics / AI Powered Solutions
Find the operational questions worth asking.
OncoAnalytics helps teams examine oncology operations and spot performance gaps. The useful conversation starts with a specific question: where is work accumulating, what changed, and which process deserves a closer look? Benchmarking supports that investigation rather than replacing it.
Explore OncoAnalytics ↗