Patient-Centered AI Architecture

Translating clinical reasoning into system behaviour and workflow logic.

Using the Patient-Centered AI Playbook, we design systems that think the way clinicians think.

This includes:

  • Clarifying reasoning patterns (pattern → meaning → risk → next step)
  • Structuring model outputs for clarity, not noise
  • Designing interaction patterns that fit PACS/RIS workflows
  • Creating communication logic that clinicians and patients understand

Outcome: An AI system whose behaviour aligns with real clinical decisions.