Axana offers an AI‑powered platform that streamlines cancer care workflows, automating data aggregation, documentation, and decision recording for multidisciplinary team (MDT) meetings. By ensuring all required information is ready and providing automated follow‑up reminders, the system reduces administrative burden and delays, delivering up to 50‑75% time savings in MDT preparation and follow‑up at hospitals such as MSEFT. The platform also monitors patient progress against clinical pathways to proactively address care gaps.
Funding
Funding not disclosed
Founders
Product
Problem
Oncologists and cancer care teams spend extensive time manually gathering patient records, imaging, pathology reports, and treatment histories to prepare for multidisciplinary team (MDT) meetings, leading to inefficient workflows, delayed case discussions, and missed follow‑up actions.
Solution
Axana offers an AI‑driven platform that automatically aggregates relevant clinical data from disparate sources, populates structured case files, and records MDT decisions in real time. The system generates pre‑meeting checklists to ensure all required information is present, reducing case preparation time by up to 75 %. After meetings, AI‑powered reminders and tracking keep follow‑up tasks visible and on schedule, while continuous monitoring of patient progress against defined clinical pathways flags deviations early. By automating documentation and providing actionable insights, Axana streamlines cancer care workflows, minimizes administrative burden, and supports timely, coordinated treatment decisions.
Target Audience
Axana is aimed at hospital oncology departments, cancer centers, and multidisciplinary care teams that manage high volumes of complex cases and require efficient coordination of clinical data and follow‑up activities.
Features
- AI‑based data extraction and consolidation from EHRs, imaging systems, and pathology archives into a single MDT case view
- Automated generation of meeting agendas, checklists, and decision logs with minimal manual entry
- Real‑time alerts for missing or incomplete information before MDT sessions to prevent case deferrals
- Configurable reminder engine that tracks post‑MDT follow‑up tasks and notifies clinicians of upcoming care milestones
- Continuous pathway monitoring that compares patient progress to evidence‑based treatment protocols and highlights delays or deviations
- Secure, audit‑ready documentation storage with role‑based access controls and integration hooks for existing hospital information systems