A
M
P
E
R
A
Client Context
Oncology Clinical Assistant GenAI-Assisted Protocol Guidance for Tumor Boards
1
Sector:
Cancer Hospitals & Oncology Research Centers
2
Geography:
U.S., India
3
Engagement Type:
AI-assisted decision intelligence
4
Scope:
Clinical guidelines, pathology reports, staging, molecular markers & comorbidities
Challenges
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 Apporach
1
Built a clinical knowledge assistant that synthesizes diagnostics, molecular markers & treatment history.
2
Mapped structured/unstructured data to NCCN evidence-levels PM₁–PM₃.
3
Delivered therapy & trial matching suggestions with contraindication warnings.
4
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.
30+ years of Industry experience in delivering pioneering data and QA solutions.
