An oncologist preparing for a patient consultation faces a nightmare: imaging reports in the PACS system, genomic data in the LIMS platform, treatment history in the EMR – all separate systems requiring multiple logins. Piecing together a complete patient picture takes 45+ minutes per case.
Then AI tools promised to help, but doctors rejected them. Why? Without source transparency, AI in cancer care was useless
The Impact
For Clinicians:
Case prep time: 45+ minutes → under 10 minutes
AI adoption increased through transparent, traceable insights
Complete patient context eliminates missed critical information
Legacy systems integrated without infrastructure replacement
For Patients:
Faster diagnosis and treatment planning (days saved per case)
No more repeating medical history at every appointment
Reduced medical errors from incomplete data
Oncology intelligence platform providing traceable AI insights for cancer care, centralising patient data from PACS imaging, LIMS genomics, and EMR systems.
My Role: Frontend developer and AI traceability architect