Healthcare AI Learning

Case

A vendor has sent me an evidence pack

A supplier has sent you performance figures and a decision meeting is coming.

1

Start here

Evidence pack questions

Ten questions, in the order that usually works, for a vendor or data-science team presenting performance figures.

2

Understand first

Three short lesson steps that make the answers mean something. Each opens directly at the right place in the course.

Metrics a leader must recogniseWhat sensitivity, PPV, AUC and calibration each do and do not tell you.
What the metrics do not tell youThe five gaps people stretch a metric across.
Suspiciously impressive evidenceWhat a genuinely good pack looks like, and the red flags.

3

Practise

Model Evaluation LabReview a hypothetical vendor evidence pack as a decision-maker: read the headline metrics, find what is missing, choose the next evidence step and make a pilot recommendation.

4

Also useful

Vendor diligence questionsNine diligence questions with what a strong supplier answer actually sounds like.

Visual Guide 06 — AI Evaluation in Healthcare

Keep the terminology map next to you while you continue the technical track.

Open visual guide

Go deeper

This pathway is the short route. The full module carries the cases, exercises and evidence behind it.

Module 6 — Evaluating Healthcare AI