Tools
Decision aids you can run on your own situation.
Reusable decision aids — calculators, checklists, assessments and question sets you can run again on your own situation, not scenario practice. Each one is a working step from one of the courses, pulled out for the moment you actually need it — a proposal on the table, an evidence pack to read, an incident to review. Every tool tells you which part of the course to read first so the answers mean something.
Not sure which tool you need? Start with the Decision Guide
- Data Readiness AssessmentFourteen scored items across the data domains that decide whether a healthcare AI idea is feasible at all.
- Evidence pack questionsTen questions, in the order that usually works, for a vendor or data-science team presenting performance figures.
- Diagnostic Metrics PlaygroundAn interactive calculator: change prevalence, sensitivity and specificity for 1,000 patients and watch predictive value and false alarms move.
- AI Claim AnalyzerPut healthcare AI claims to the test.Manual Beta
- Safety case chainFollow one failure from failure mode to hazard, harm, control, signal, stop rule and a named owner.
- Executive Clinical AI Review ChecklistTen questions to take into any clinical AI proposal, ordered so the earlier answers decide what evidence matters.In the course only
- Executive Generative AI Review ChecklistEight GenAI-specific questions for any generative AI proposal, clinical or administrative.In the course only
- Vendor diligence questionsNine diligence questions with what a strong supplier answer actually sounds like.In the course only
- Regulatory & governance passportTwelve fields that record what a system is, which rules apply, and who signed what.In the course only
Fourteen scored items across the data domains that decide whether a healthcare AI idea is feasible at all.
Module 2 — Can We Trust the Data?
Open toolTen questions, in the order that usually works, for a vendor or data-science team presenting performance figures.
Module 6 — Evaluating Healthcare AI
Open toolAn interactive calculator: change prevalence, sensitivity and specificity for 1,000 patients and watch predictive value and false alarms move.
Module 3 — From Prediction to Clinical Utility
Open toolPut healthcare AI claims to the test.
Bring a vendor claim, LinkedIn post, paper, product page or pitch deck. Use the learning framework with your own ChatGPT or Claude to separate what is claimed from what is actually demonstrated.
Module 6 — Evaluating Healthcare AI
Open toolFollow one failure from failure mode to hazard, harm, control, signal, stop rule and a named owner.
Module 7 — Safety, Human Factors & Responsible AI
Open toolTen questions to take into any clinical AI proposal, ordered so the earlier answers decide what evidence matters.
Module 3 — From Prediction to Clinical Utility
Open in the courseEight GenAI-specific questions for any generative AI proposal, clinical or administrative.
Module 4 — Generative AI in Healthcare
Open in the courseNine diligence questions with what a strong supplier answer actually sounds like.
Module 8 — Strategy, Portfolio & Economics
Open in the courseTwelve fields that record what a system is, which rules apply, and who signed what.
Module 9 — Regulation & Governance
Open in the course