Industry 03Healthcare

Healthcare.

Hikari Blue operates in healthcare where the regulatory framework is non-negotiable and the failure mode is patient harm. HIPAA, MDR, FDA software guidance, EU AI Act: engineered into the architecture, not retrofitted before the audit.

Operated for MedTech · Pharma · Hospital networks Regulatory baseline HIPAA · MDR · FDA software · EU AI Act Failure tolerance Zero on patient harm

What makes this sector hard

Patient data sovereignty is a design property. It cannot be installed.

Five structural pressures shape every engagement we accept in healthcare. They are why most enterprise platforms fail on the first regulator inspection.

  • 01

    HIPAA in the US, MDR in the EU, in the same product

    The two regimes have different evidence formats, retention rules and audit cadence. The platform must answer both from one architecture, not from two parallel compliance teams.

  • 02

    AI-assisted clinical decisions under audit

    Every prediction, recommendation or triage suggestion that touches a clinician must be traceable, explainable, retirable. The EU AI Act puts most clinical AI in the high-risk band by default.

  • 03

    Clinical workflow integration without disruption

    Hospital networks do not stop. The platform must integrate with EHR, PACS, LIS, departmental systems, and the clinician must not feel the integration. Adoption fails on friction, not on features.

  • 04

    Patient data residency, by jurisdiction

    National health data rules vary widely: France HDS, Germany BSI C5, UK NHS DSP, US state-by-state. The architecture must respect the strictest, not the average.

  • 05

    Long product lifecycle, regulated changes

    MedTech products live ten to fifteen years in clinical use. Every substantive change requires re-validation, re-submission, re-audit. The platform must let you ship change at the cost of process, not at the cost of risk.

How we operate here

Signature engagements in healthcare.

Four engagement types we accept in healthcare. Each carries patient data sovereignty and audit posture as a design property.

  • HIPAA / MDR by architecture

    Eight to sixteen weeks. We design the data layer, evidence chain and access trails so both regimes can be defended from one platform, with one audit pipeline.

    Signed by Xavier de Maillard

  • Clinical AI evaluation framework

    Six to twelve weeks. Model registry, evaluation pipeline, drift monitoring, audit trail for AI-assisted clinical decisions. EU AI Act-defensible from day one.

    Signed by Xavier de Maillard

  • Workflow integration without disruption

    Twelve to twenty-four weeks. Integration with EHR, PACS, LIS and departmental systems under live operating conditions, with clinician adoption measured, not assumed.

    Signed by Rémi Claverie

  • Patient data residency layer

    Six to twelve weeks. Residency architecture honoring the strictest national rule on the workload, with defined transfer mechanisms and clean separation from non-PHI workloads.

    Signed by Gilles Mischler

Solutions mobilized here

Where the Hikari Blue Solutions land in healthcare.

Bring the patient-data question

Before the next clinical AI deployment,
map the evidence chain.

Thirty minutes with a senior partner. We listen to your HIPAA / MDR perimeter, your clinical AI exposure, and we tell you what we would harden first, and what is already healthy.

Book a 30-minute working session Or write directly to the founding partner