Clinical errors
A miscoded dosage, a duplicate patient, a missing unit: degraded data quickly becomes a patient safety risk.
MyDataProof audits, structures and secures your medical data so it is accurate, compliant and interoperable, from clinical capture to AI-ready reuse.
Most medical AI problems trace back to the data, not the model.
A miscoded dosage, a duplicate patient, a missing unit: degraded data quickly becomes a patient safety risk.
Without traceability and controlled reference data, every audit is painful and certification becomes a gamble.
Data-sharing projects rarely fail on technology. They almost always fail on semantics.
Source mapping, completeness, consistency and traceability measurement. A clear score for every data domain.
GDPR, HDS hosting, MDR and Good Clinical Practice. Documentation alignment and prioritised remediation of gaps.
SNOMED CT, LOINC and ICD-10 terminologies, FHIR & OMOP standards for interoperability that actually works.
Governance, continuous quality indicators and upskilling for your data and clinical teams.
Daily rates excluding VAT, with a discount beyond 20 days of engagement.
Fifteen years at the border of care and data: pharmacy and hospital practice, then data and compliance inside major healthcare and consulting organisations. That dual perspective avoids the usual pitfall: models that are technically correct but clinically wrong.
A first 30-minute conversation is enough to gauge your maturity level and pinpoint the two or three priorities that matter most.