OncoGenox is designed to work alongside existing clinical systems, adding an oncology-specific intelligence layer that structures, connects and contextualises patient information across the cancer journey.
OncoGenox uses AI-assisted extraction to structure and summarise fragmented clinical information into a longitudinal oncology record, alongside integrated treatment documentation.
Oncology-specific context combines structured patient data with rule-based logic to support clinical review, with the guideline source cited.
Remote patient monitoring supports ongoing follow-up during and after treatment. Patient-reported information is connected to the treatment record — regimen, cycle and administration date — so reported symptoms are read against the therapy the patient is receiving. Rule-based triage helps identify patients who may require clinical attention.
A shared oncology view supports multidisciplinary review, tumor boards and expert second opinions, helping care teams work from a connected view of the patient journey.
Universities, research groups and pharmaceutical partners can use OncoGenox to structure their own oncology cohorts into one connected record — disease status, treatment history and genomic profile together.
| at risk | 0 | 12 | 24 | 36 | 48 | 60 |
|---|---|---|---|---|---|---|
| Localized | 264 | 258 | 249 | 238 | 226 | 213 |
| Regional | 102 | 97 | 90 | 82 | 74 | 66 |
| Distant | 24 | 19 | 14 | 10 | 7 | 5 |
Simulated cohort, shown to illustrate the analyses a structured oncology record supports. Survival endpoints match published NCI SEER figures. Not patient data.
Bring one anonymised patient journey and we'll walk it through the platform end to end — alongside the systems you already run.