KODA KENKŌ · Governance, Security & Responsibility

Governed medical AI. Secure, auditable, responsible.

Human approval gates. Role-based access. Append-only audit trail. Built to earn the trust of hospitals, universities, municipalities, doctors, lawyers, and public-health organisations — governance is the substrate the platform runs on, not a feature bolted on later.

Human approval gates

AI agents prepare. Professionals decide.

No clinical artefact is finalised without a human reviewer. Every workflow — SOAP, prescription, referral, intake summary, claims, telehealth, home-care note — passes through a structured approval gate before entering the operational record.

The reviewer, the timestamp, and the content before and after review are all recorded. Approval is a load-bearing part of the workflow, not a checkbox.

Roles, audit, traceability

Different access. Same record. Full trail.

Clinician, nurse, pharmacist, clerk, administrator, auditor — each role sees the surface it needs, and the whole chain stays inspectable.

Human approval gates

No clinical artefact is finalised without a human reviewer. Every workflow — SOAP, prescription, referral, intake summary, claims, telehealth, home-care note — passes through a structured approval gate before entering the operational record.

Role-based access

Granular per-role permissions. Audit-only roles for compliance and quality, read-only for educators and researchers. Each role sees the surface it needs — and only that.

Append-only audit trail

Every action, approval, and change recorded immutably. Logs export to JAHIS-aligned formats for audit and regulatory review. Nothing can be silently rewritten.

Workflow traceability

End-to-end traceability: raw input → AI draft → reviewer → approval → final artefact. Every link stays inspectable, long after the work is done.

Data control

The institution owns its data. Export any time in standard formats, delete any time within retention policy. Your data never becomes the vendor’s asset.

Cross-model verification

A second model checks every AI draft — schema, source grounding, consistency, hallucination detection — before it reaches the human reviewer. Built on KoLo OS.

The human-reviewed audit pipeline.
Append-only audit pipeline
Workflow traceability

Raw input to final artefact — every link inspectable.

Traceability runs end to end: raw input → AI draft → cross-model verifier → human reviewer → approval → final artefact. Every action, approval, and change is recorded immutably, and logs export to JAHIS-aligned formats for audit and regulatory review.

Deployment & residency

Local. Private. Country-specific. Wherever the institution’s data needs to live.

Healthcare data carries jurisdictional and institutional constraints that consumer-grade AI cannot meet. The deployment topology is itself part of the governance surface.

01
Local / private deployment
Full platform inside the institution’s perimeter — same modules, governance, and audit surface. For hospitals and networks where data cannot leave.
02
Country-specific deployment rules
Deployment honours data-residency requirements — Japan (APPI, MHLW), Brazil (LGPD), EU (GDPR), and more — at the topology level, not the application layer.
03
Edge & offline operation
Local-first workflows survive intermittent connectivity. On reconnect, secure sync reconciles edge state with the central platform under full audit.
Professional responsibility

What KODA KENKŌ is. And what it is not.

KODA KENKŌ is a structured operational layer that helps professionals document, coordinate, and deliver care. It is not a clinical decision-maker. Medical responsibility belongs to the licensed professional and the institution — never to the platform.

What it does

Drafts, summarises, retrieves, organises, and routes clinical and administrative artefacts to the professional who approves them — recording the approval and preserving the trail, under institutional governance.

What it does not do

Does not diagnose, prescribe, dispense, approve, or finalise medical decisions. Does not replace the clinician, nurse, pharmacist, clerk, or administrator. Never acts outside the human review chain.

Institutional governance model

The institution sets the policy — roles, approval thresholds, retention windows, audit cadence, disclosure surface — and the platform executes within it. Configuration is institutional, not vendor-controlled.

Compliance posture

Built for the standards Japanese institutions answer to.

Audit logs export to JAHIS-aligned formats for institutional review. Deployment honours APPI and MHLW in Japan, LGPD in Brazil, and GDPR in the EU — enforced at the topology, not bolted onto the application. The institution owns its data and can export or delete it within its retention policy at any time.

Every reviewer is recorded. Every timestamp is recorded.

The content before and after every review is recorded.

Approval is a load-bearing part of the workflow — not a checkbox.

Built for institutional review. Open to your compliance team.

Speak directly with KodaSōken engineering and governance. Bring your compliance, legal, and security questions — we answer them on the platform, not in a deck.

KODA KENKŌ — Medical AI Platform for Japanese Clinical Reality