Clinical intelligence
for oncology practices
Turning fragmented patient records into clinical intelligence.
Patient records can’t answer clinical questions
The patient record is there. But it is scattered across years of PVS entries, scanned reports, PDFs and local spreadsheets.
These systems were built to document one patient encounter at a time, not to evaluate a study protocol across an entire patient panel.
Mosaic unlocks the clinical record for AI
Mosaic runs locally alongside the software already in use. It captures patient context, documents and scans and turns them into a structured, source-linked patient representation.
No replacement EHR. No second documentation workflow. No interface to every legacy system.
From fragmented entries to one clinical history
Mosaic reconstructs diagnoses, biomarkers, treatments, progression events and therapy lines from the systems clinicians already use. It connects events across time, resolves information from different documents and preserves the evidence behind every finding. The result is a clinical representation that can be searched, reviewed and used by AI.
Ask one clinical question across every patient record
Mosaic translates study protocols and clinical questions into structured logic and evaluates them against the available patient histories.
4 patients likely match. 6 more need a record review. I flagged what is missing for each.
Mosaic does more than search the record
Once Mosaic can understand the patient history, the same intelligence can support the workflows around it.
Study feasibility
Evaluate a protocol against the available patient panel and estimate the reviewable cohort.
Patient identification
Surface patients who may qualify, with each criterion marked as confirmed, contradicted or missing.
Therapy-line reconstruction
Reconstruct prescriptions, progression events and treatment changes as one cited sequence.
Screening readiness
Track required examinations, eligibility windows and missing evidence before enrolment.
Oncology reporting
Prepare structured registry and study fields from the longitudinal patient history.
Longitudinal record review
Summarise what changed, what remains unresolved and which records require manual follow-up.
Developed inside an active oncology study site
Mosaic is developed with the physician and study coordinator of Das Brustzentrum, Berlin. The product is tested against real clinical workflows, live study protocols and the team’s existing manual assessment process.
Read the case studyBuilding the intelligence layer between
patient records and clinical AI
Today, medical knowledge advances separately from the patients who might benefit from it.
Mosaic is building a system in which patient records can be continuously evaluated against new clinical knowledge, and the resulting work can be carried through inside the clinical workflow.
See what your patient records can already answer.
Whether you are ready to start a pilot or would rather explore a partnership first, we would love to work with you.