Case Studies

PRACTICAL EXAMPLE - 01

Healthcare
& MedTech

AI in diagnostics and patient management carries the highest stakes — and the greatest transparency obligation.

SCENARIO

A hospital deploys AI to assist radiologists in detecting tumours from MRI scans, while a second AI triages patient appointments based on symptom severity.

WITHOUT MIHR

Both systems hidden under: "AI-assisted diagnostics." No distinction between decision-support and autonomous triage.

WITH MIHR — TRANSPARENCY LABELS
WHERE
Radiology / Diagnostics
HOW
Computer Vision (CNN)
EXTENT
Level 2 — Advisory
OUTCOME:
Radiologist retains full decision authority. AI highlights anomalies — radiologist confirms. Clear malpractice boundary established.
WHERE
Appointment Triage
HOW
NLP + Symptom Classification
EXTENT
Level 3 — Semi Autonomy
OUTCOME:
AI pre-ranks patient urgency. Human coordinator reviews before confirming. Liability scope clearly defined.
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