Client Context Oncology Clinical Assistant

Sector

Cancer Hospitals & Oncology Research Centers

Engagement Type

AI-assisted decision intelligence

Scope

Clinical guidelines, pathology reports, staging, molecular markers & comorbidities

Geography

U.S., India

Project overview

Client Context Oncology Clinical Assistant GenAI-Assisted Protocol Guidance for Tumor Boards

Challenges

  • Tumor board decisions required manual consolidation of pathology, imaging, and biomarker reports.

  • Clinical guidelines frequently evolved across NCCN, ESMO, and ASCO.

  • Case preparation took 2–5 hours per patient.

Our Approach

Built a clinical knowledge assistant that synthesizes diagnostics, molecular markers & treatment history.

Mapped structured/unstructured data to NCCN evidence-levels PM₁–PM₃.

Delivered therapy & trial matching suggestions with contraindication warnings.

Designed oncology-specific explainability view for clinicians not black-box output.

Impact Delivered

  • Tumor board preparation time was reduced by 65% while increasing evidence traceability.

  • Improved treatment pathway confidence and cross-discipline alignment.

  • Enabled consistent documentation for clinical audits and research registry feeds.