Metis Intelligence nAI Platform

Healthcare operations

Medical Informatics

A healthcare operations layer for clinical software, records context, imaging pipelines, and patient-doctor coordination under human supervision.

Request introduction All applications
nAI runtime
Clinical systems Patient records Imaging pipelines Appointments Clinician roles Audit logs

Challenge

Why generic AI is not enough.

Healthcare environments are sensitive, fragmented, and regulated. Operational AI must respect permissions, clinical responsibility, and auditability.

nAI Runtime

How the environment becomes usable context.

nAI can organize systems, records, appointment context, imaging workflows, and staff permissions without presenting itself as a clinical decision maker.

Operating Model

Mapped systems, controlled action.

Environment graph

  • Clinical systems
  • Patient records
  • Imaging pipelines
  • Appointments
  • Clinician roles
  • Audit logs

Control layer

  • Clinician-supervised workflows
  • Permissioned record access
  • No autonomous diagnosis
  • Full audit trail

Outcome

Healthcare teams can coordinate operational work with stronger context and clearer accountability.

Healthcare direction is informed by Medlogic, founded by Nikolaos Boulikas in 2019.