Decision Mapping
in Oncology
Visualizing complex data for personalized therapeutic decision-making.
A more predictive approach to oncology:
- Expanded differential diagnosis
- Intelligent modeling of therapeutic responses
- Tumor evolution anticipation
Clinical Decision Workflow | Diagnogram by LitéoMed
A workspace that aligns with your Clinical Practice
Health record data compilation
Feed your patient cases with electronic health record data, notes, medical history, prescriptions, lab results.
Clinical Insights Generation
Evidence-based recommendations aligned with established oncology guidelines and current literature.
Clinical Review & Validation
Review AI suggestions within your clinical context. Adapt recommendations to individual patient needs.
Documentation & Follow-up
Track treatment outcomes over time, maintain clinical records and generate letters to physician colleagues.
Closer to the patient
Patient Oriented
Seamless navigation between diagnostic review and treatment planning within a unified platform.
Current Guidelines
Regular updates incorporating latest oncology guidelines and peer-reviewed research findings.
The tool that supports your MTBs
Pre- and post-MTB writing assistance, decision support and report generation to facilitate communication and streamline your exchanges.
Our Mission
We believe that every cancer patient deserves the full benefit of informed care brought by the latest technologies - collaborative and comprehensive. Our mission is to support oncology teams through artificial intelligence tools designed to aid reflection and enhance the fluidity of Multidisciplinary Team Meetings (MTBs). By combining the power of AI with clinical best practices, we aim to simplify multidisciplinary decision-making, fully leverage patient data, and foster evidence-based, consistent and equitable medicine. Rooted in ethics, transparency and collaboration, our technology enables caregivers to focus on what matters most: making the right decisions, for every patient, at every stage.
FAQ
How does LitéoMed integrate with existing hospital systems?
Standard HL7 FHIR integration with major EHR systems.
What clinical evidence supports the AI recommendations?
All recommendations are based on peer-reviewed literature and established clinical guidelines (NCCN, ASCO, ESMO, INCA, Gustave Roussy). Source citations provided for transparency.
How is patient data protected and privacy maintained?
HIPAA-compliant infrastructure with end-to-end encryption. Data processing occurs locally within your clinical environment when possible.
What clinical training and support is provided?
Comprehensive clinical onboarding with ongoing support from medical informatics specialists. Training tailored to specific practice needs.
Evaluate LitéoMed for Your Practice
Join oncologists exploring AI-assisted clinical decision support.
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